changes
This commit is contained in:
@@ -1,65 +0,0 @@
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---
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name: caveman-commit
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description: >
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Ultra-compressed commit message generator. Cuts noise from commit messages while preserving
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intent and reasoning. Conventional Commits format. Subject ≤50 chars, body only when "why"
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isn't obvious. Use when user says "write a commit", "commit message", "generate commit",
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"/commit", or invokes /caveman-commit. Auto-triggers when staging changes.
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---
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Write commit messages terse and exact. Conventional Commits format. No fluff. Why over what.
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## Rules
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**Subject line:**
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- `<type>(<scope>): <imperative summary>` — `<scope>` optional
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- Types: `feat`, `fix`, `refactor`, `perf`, `docs`, `test`, `chore`, `build`, `ci`, `style`, `revert`
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- Imperative mood: "add", "fix", "remove" — not "added", "adds", "adding"
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- ≤50 chars when possible, hard cap 72
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- No trailing period
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- Match project convention for capitalization after the colon
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**Body (only if needed):**
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- Skip entirely when subject is self-explanatory
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- Add body only for: non-obvious *why*, breaking changes, migration notes, linked issues
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- Wrap at 72 chars
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- Bullets `-` not `*`
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- Reference issues/PRs at end: `Closes #42`, `Refs #17`
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**What NEVER goes in:**
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- "This commit does X", "I", "we", "now", "currently" — the diff says what
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- "As requested by..." — use Co-authored-by trailer
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- "Generated with Claude Code" or any AI attribution
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- Emoji (unless project convention requires)
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- Restating the file name when scope already says it
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## Examples
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Diff: new endpoint for user profile with body explaining the why
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- ❌ "feat: add a new endpoint to get user profile information from the database"
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- ✅
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```
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feat(api): add GET /users/:id/profile
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Mobile client needs profile data without the full user payload
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to reduce LTE bandwidth on cold-launch screens.
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Closes #128
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```
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Diff: breaking API change
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- ✅
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```
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feat(api)!: rename /v1/orders to /v1/checkout
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BREAKING CHANGE: clients on /v1/orders must migrate to /v1/checkout
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before 2026-06-01. Old route returns 410 after that date.
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```
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## Auto-Clarity
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Always include body for: breaking changes, security fixes, data migrations, anything reverting a prior commit. Never compress these into subject-only — future debuggers need the context.
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## Boundaries
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Only generates the commit message. Does not run `git commit`, does not stage files, does not amend. Output the message as a code block ready to paste. "stop caveman-commit" or "normal mode": revert to verbose commit style.
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@@ -1,163 +0,0 @@
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<p align="center">
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<img src="https://em-content.zobj.net/source/apple/391/rock_1faa8.png" width="80" />
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</p>
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<h1 align="center">caveman-compress</h1>
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<p align="center">
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<strong>shrink memory file. save token every session.</strong>
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</p>
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---
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A Claude Code skill that compresses your project memory files (`CLAUDE.md`, todos, preferences) into caveman format — so every session loads fewer tokens automatically.
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Claude read `CLAUDE.md` on every session start. If file big, cost big. Caveman make file small. Cost go down forever.
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## What It Do
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```
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/caveman:compress CLAUDE.md
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```
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```
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CLAUDE.md ← compressed (Claude reads this — fewer tokens every session)
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CLAUDE.original.md ← human-readable backup (you edit this)
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```
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Original never lost. You can read and edit `.original.md`. Run skill again to re-compress after edits.
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## Benchmarks
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Real results on real project files:
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| File | Original | Compressed | Saved |
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|------|----------:|----------:|------:|
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| `claude-md-preferences.md` | 706 | 285 | **59.6%** |
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| `project-notes.md` | 1145 | 535 | **53.3%** |
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| `claude-md-project.md` | 1122 | 636 | **43.3%** |
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| `todo-list.md` | 627 | 388 | **38.1%** |
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| `mixed-with-code.md` | 888 | 560 | **36.9%** |
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| **Average** | **898** | **481** | **46%** |
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All validations passed ✅ — headings, code blocks, URLs, file paths preserved exactly.
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## Before / After
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<table>
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<tr>
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<td width="50%">
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### 📄 Original (706 tokens)
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> "I strongly prefer TypeScript with strict mode enabled for all new code. Please don't use `any` type unless there's genuinely no way around it, and if you do, leave a comment explaining the reasoning. I find that taking the time to properly type things catches a lot of bugs before they ever make it to runtime."
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</td>
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<td width="50%">
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### 🪨 Caveman (285 tokens)
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> "Prefer TypeScript strict mode always. No `any` unless unavoidable — comment why if used. Proper types catch bugs early."
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</td>
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</tr>
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</table>
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**Same instructions. 60% fewer tokens. Every. Single. Session.**
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## Security
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`caveman-compress` is flagged as Snyk High Risk due to subprocess and file I/O patterns detected by static analysis. This is a false positive — see [SECURITY.md](./SECURITY.md) for a full explanation of what the skill does and does not do.
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## Install
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Compress is built in with the `caveman` plugin. Install `caveman` once, then use `/caveman:compress`.
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If you need local files, the compress skill lives at:
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```bash
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caveman-compress/
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```
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**Requires:** Python 3.10+
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## Usage
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```
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/caveman:compress <filepath>
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```
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Examples:
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```
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/caveman:compress CLAUDE.md
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/caveman:compress docs/preferences.md
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/caveman:compress todos.md
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```
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### What files work
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| Type | Compress? |
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|------|-----------|
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| `.md`, `.txt`, `.rst` | ✅ Yes |
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| Extensionless natural language | ✅ Yes |
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| `.py`, `.js`, `.ts`, `.json`, `.yaml` | ❌ Skip (code/config) |
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| `*.original.md` | ❌ Skip (backup files) |
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## How It Work
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```
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/caveman:compress CLAUDE.md
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↓
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detect file type (no tokens)
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↓
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Claude compresses (tokens — one call)
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↓
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validate output (no tokens)
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checks: headings, code blocks, URLs, file paths, bullets
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↓
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if errors: Claude fixes cherry-picked issues only (tokens — targeted fix)
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does NOT recompress — only patches broken parts
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↓
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retry up to 2 times
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↓
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write compressed → CLAUDE.md
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write original → CLAUDE.original.md
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```
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Only two things use tokens: initial compression + targeted fix if validation fails. Everything else is local Python.
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## What Is Preserved
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Caveman compress natural language. It never touch:
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- Code blocks (` ``` ` fenced or indented)
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- Inline code (`` `backtick content` ``)
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- URLs and links
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- File paths (`/src/components/...`)
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- Commands (`npm install`, `git commit`)
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- Technical terms, library names, API names
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- Headings (exact text preserved)
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- Tables (structure preserved, cell text compressed)
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- Dates, version numbers, numeric values
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## Why This Matter
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`CLAUDE.md` loads on **every session start**. A 1000-token project memory file costs tokens every single time you open a project. Over 100 sessions that's 100,000 tokens of overhead — just for context you already wrote.
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Caveman cut that by ~46% on average. Same instructions. Same accuracy. Less waste.
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```
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┌────────────────────────────────────────────┐
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│ TOKEN SAVINGS PER FILE █████ 46% │
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│ SESSIONS THAT BENEFIT ██████████ 100% │
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│ INFORMATION PRESERVED ██████████ 100% │
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│ SETUP TIME █ 1x │
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└────────────────────────────────────────────┘
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```
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## Part of Caveman
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This skill is part of the [caveman](https://github.com/JuliusBrussee/caveman) toolkit — making Claude use fewer tokens without losing accuracy.
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- **caveman** — make Claude *speak* like caveman (cuts response tokens ~65%)
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- **caveman-compress** — make Claude *read* less (cuts context tokens ~46%)
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@@ -1,31 +0,0 @@
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# Security
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## Snyk High Risk Rating
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`caveman-compress` receives a Snyk High Risk rating due to static analysis heuristics. This document explains what the skill does and does not do.
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### What triggers the rating
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1. **subprocess usage**: The skill calls the `claude` CLI via `subprocess.run()` as a fallback when `ANTHROPIC_API_KEY` is not set. The subprocess call uses a fixed argument list — no shell interpolation occurs. User file content is passed via stdin, not as a shell argument.
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2. **File read/write**: The skill reads the file the user explicitly points it at, compresses it, and writes the result back to the same path. A `.original.md` backup is saved alongside it. No files outside the user-specified path are read or written.
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### What the skill does NOT do
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- Does not execute user file content as code
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- Does not make network requests except to Anthropic's API (via SDK or CLI)
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- Does not access files outside the path the user provides
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- Does not use shell=True or string interpolation in subprocess calls
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- Does not collect or transmit any data beyond the file being compressed
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### Auth behavior
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If `ANTHROPIC_API_KEY` is set, the skill uses the Anthropic Python SDK directly (no subprocess). If not set, it falls back to the `claude` CLI, which uses the user's existing Claude desktop authentication.
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### File size limit
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Files larger than 500KB are rejected before any API call is made.
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### Reporting a vulnerability
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If you believe you've found a genuine security issue, please open a GitHub issue with the label `security`.
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@@ -1,111 +0,0 @@
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---
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name: caveman-compress
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description: >
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Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format
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to save input tokens. Preserves all technical substance, code, URLs, and structure.
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Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md.
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Trigger: /caveman:compress <filepath> or "compress memory file"
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---
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# Caveman Compress
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## Purpose
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Compress natural language files (CLAUDE.md, todos, preferences) into caveman-speak to reduce input tokens. Compressed version overwrites original. Human-readable backup saved as `<filename>.original.md`.
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## Trigger
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`/caveman:compress <filepath>` or when user asks to compress a memory file.
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## Process
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1. The compression scripts live in `caveman-compress/scripts/` (adjacent to this SKILL.md). If the path is not immediately available, search for `caveman-compress/scripts/__main__.py`.
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2. Run:
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cd caveman-compress && python3 -m scripts <absolute_filepath>
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3. The CLI will:
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- detect file type (no tokens)
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- call Claude to compress
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- validate output (no tokens)
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- if errors: cherry-pick fix with Claude (targeted fixes only, no recompression)
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- retry up to 2 times
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- if still failing after 2 retries: report error to user, leave original file untouched
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4. Return result to user
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## Compression Rules
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### Remove
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- Articles: a, an, the
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- Filler: just, really, basically, actually, simply, essentially, generally
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- Pleasantries: "sure", "certainly", "of course", "happy to", "I'd recommend"
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||||||
- Hedging: "it might be worth", "you could consider", "it would be good to"
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|
||||||
- Redundant phrasing: "in order to" → "to", "make sure to" → "ensure", "the reason is because" → "because"
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||||||
- Connective fluff: "however", "furthermore", "additionally", "in addition"
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||||||
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||||||
### Preserve EXACTLY (never modify)
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|
||||||
- Code blocks (fenced ``` and indented)
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|
||||||
- Inline code (`backtick content`)
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|
||||||
- URLs and links (full URLs, markdown links)
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|
||||||
- File paths (`/src/components/...`, `./config.yaml`)
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||||||
- Commands (`npm install`, `git commit`, `docker build`)
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||||||
- Technical terms (library names, API names, protocols, algorithms)
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||||||
- Proper nouns (project names, people, companies)
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||||||
- Dates, version numbers, numeric values
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|
||||||
- Environment variables (`$HOME`, `NODE_ENV`)
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|
||||||
|
|
||||||
### Preserve Structure
|
|
||||||
- All markdown headings (keep exact heading text, compress body below)
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||||||
- Bullet point hierarchy (keep nesting level)
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|
||||||
- Numbered lists (keep numbering)
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|
||||||
- Tables (compress cell text, keep structure)
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||||||
- Frontmatter/YAML headers in markdown files
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||||||
|
|
||||||
### Compress
|
|
||||||
- Use short synonyms: "big" not "extensive", "fix" not "implement a solution for", "use" not "utilize"
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|
||||||
- Fragments OK: "Run tests before commit" not "You should always run tests before committing"
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|
||||||
- Drop "you should", "make sure to", "remember to" — just state the action
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|
||||||
- Merge redundant bullets that say the same thing differently
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|
||||||
- Keep one example where multiple examples show the same pattern
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||||||
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CRITICAL RULE:
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|
||||||
Anything inside ``` ... ``` must be copied EXACTLY.
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||||||
Do not:
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|
||||||
- remove comments
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|
||||||
- remove spacing
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|
||||||
- reorder lines
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|
||||||
- shorten commands
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|
||||||
- simplify anything
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|
||||||
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|
||||||
Inline code (`...`) must be preserved EXACTLY.
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|
||||||
Do not modify anything inside backticks.
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|
||||||
If file contains code blocks:
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|
||||||
- Treat code blocks as read-only regions
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|
||||||
- Only compress text outside them
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|
||||||
- Do not merge sections around code
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||||||
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||||||
## Pattern
|
|
||||||
|
|
||||||
Original:
|
|
||||||
> You should always make sure to run the test suite before pushing any changes to the main branch. This is important because it helps catch bugs early and prevents broken builds from being deployed to production.
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|
||||||
|
|
||||||
Compressed:
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|
||||||
> Run tests before push to main. Catch bugs early, prevent broken prod deploys.
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||||||
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||||||
Original:
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|
||||||
> The application uses a microservices architecture with the following components. The API gateway handles all incoming requests and routes them to the appropriate service. The authentication service is responsible for managing user sessions and JWT tokens.
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|
||||||
|
|
||||||
Compressed:
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|
||||||
> Microservices architecture. API gateway route all requests to services. Auth service manage user sessions + JWT tokens.
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|
||||||
|
|
||||||
## Boundaries
|
|
||||||
|
|
||||||
- ONLY compress natural language files (.md, .txt, extensionless)
|
|
||||||
- NEVER modify: .py, .js, .ts, .json, .yaml, .yml, .toml, .env, .lock, .css, .html, .xml, .sql, .sh
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|
||||||
- If file has mixed content (prose + code), compress ONLY the prose sections
|
|
||||||
- If unsure whether something is code or prose, leave it unchanged
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|
||||||
- Original file is backed up as FILE.original.md before overwriting
|
|
||||||
- Never compress FILE.original.md (skip it)
|
|
||||||
@@ -1,9 +0,0 @@
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|||||||
"""Caveman compress scripts.
|
|
||||||
|
|
||||||
This package provides tools to compress natural language markdown files
|
|
||||||
into caveman format to save input tokens.
|
|
||||||
"""
|
|
||||||
|
|
||||||
__all__ = ["cli", "compress", "detect", "validate"]
|
|
||||||
|
|
||||||
__version__ = "1.0.0"
|
|
||||||
@@ -1,3 +0,0 @@
|
|||||||
from .cli import main
|
|
||||||
|
|
||||||
main()
|
|
||||||
@@ -1,78 +0,0 @@
|
|||||||
#!/usr/bin/env python3
|
|
||||||
from pathlib import Path
|
|
||||||
import sys
|
|
||||||
|
|
||||||
# Support both direct execution and module import
|
|
||||||
try:
|
|
||||||
from .validate import validate
|
|
||||||
except ImportError:
|
|
||||||
sys.path.insert(0, str(Path(__file__).parent))
|
|
||||||
from validate import validate
|
|
||||||
|
|
||||||
try:
|
|
||||||
import tiktoken
|
|
||||||
_enc = tiktoken.get_encoding("o200k_base")
|
|
||||||
except ImportError:
|
|
||||||
_enc = None
|
|
||||||
|
|
||||||
|
|
||||||
def count_tokens(text):
|
|
||||||
if _enc is None:
|
|
||||||
return len(text.split()) # fallback: word count
|
|
||||||
return len(_enc.encode(text))
|
|
||||||
|
|
||||||
|
|
||||||
def benchmark_pair(orig_path: Path, comp_path: Path):
|
|
||||||
orig_text = orig_path.read_text()
|
|
||||||
comp_text = comp_path.read_text()
|
|
||||||
|
|
||||||
orig_tokens = count_tokens(orig_text)
|
|
||||||
comp_tokens = count_tokens(comp_text)
|
|
||||||
saved = 100 * (orig_tokens - comp_tokens) / orig_tokens if orig_tokens > 0 else 0.0
|
|
||||||
result = validate(orig_path, comp_path)
|
|
||||||
|
|
||||||
return (comp_path.name, orig_tokens, comp_tokens, saved, result.is_valid)
|
|
||||||
|
|
||||||
|
|
||||||
def print_table(rows):
|
|
||||||
print("\n| File | Original | Compressed | Saved % | Valid |")
|
|
||||||
print("|------|----------|------------|---------|-------|")
|
|
||||||
for r in rows:
|
|
||||||
print(f"| {r[0]} | {r[1]} | {r[2]} | {r[3]:.1f}% | {'✅' if r[4] else '❌'} |")
|
|
||||||
|
|
||||||
|
|
||||||
def main():
|
|
||||||
# Direct file pair: python3 benchmark.py original.md compressed.md
|
|
||||||
if len(sys.argv) == 3:
|
|
||||||
orig = Path(sys.argv[1]).resolve()
|
|
||||||
comp = Path(sys.argv[2]).resolve()
|
|
||||||
if not orig.exists():
|
|
||||||
print(f"❌ Not found: {orig}")
|
|
||||||
sys.exit(1)
|
|
||||||
if not comp.exists():
|
|
||||||
print(f"❌ Not found: {comp}")
|
|
||||||
sys.exit(1)
|
|
||||||
print_table([benchmark_pair(orig, comp)])
|
|
||||||
return
|
|
||||||
|
|
||||||
# Glob mode: repo_root/tests/caveman-compress/
|
|
||||||
tests_dir = Path(__file__).parent.parent.parent / "tests" / "caveman-compress"
|
|
||||||
if not tests_dir.exists():
|
|
||||||
print(f"❌ Tests dir not found: {tests_dir}")
|
|
||||||
sys.exit(1)
|
|
||||||
|
|
||||||
rows = []
|
|
||||||
for orig in sorted(tests_dir.glob("*.original.md")):
|
|
||||||
comp = orig.with_name(orig.stem.removesuffix(".original") + ".md")
|
|
||||||
if comp.exists():
|
|
||||||
rows.append(benchmark_pair(orig, comp))
|
|
||||||
|
|
||||||
if not rows:
|
|
||||||
print("No compressed file pairs found.")
|
|
||||||
return
|
|
||||||
|
|
||||||
print_table(rows)
|
|
||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
|
||||||
main()
|
|
||||||
@@ -1,73 +0,0 @@
|
|||||||
#!/usr/bin/env python3
|
|
||||||
"""
|
|
||||||
Caveman Compress CLI
|
|
||||||
|
|
||||||
Usage:
|
|
||||||
caveman <filepath>
|
|
||||||
"""
|
|
||||||
|
|
||||||
import sys
|
|
||||||
from pathlib import Path
|
|
||||||
|
|
||||||
from .compress import compress_file
|
|
||||||
from .detect import detect_file_type, should_compress
|
|
||||||
|
|
||||||
|
|
||||||
def print_usage():
|
|
||||||
print("Usage: caveman <filepath>")
|
|
||||||
|
|
||||||
|
|
||||||
def main():
|
|
||||||
if len(sys.argv) != 2:
|
|
||||||
print_usage()
|
|
||||||
sys.exit(1)
|
|
||||||
|
|
||||||
filepath = Path(sys.argv[1])
|
|
||||||
|
|
||||||
# Check file exists
|
|
||||||
if not filepath.exists():
|
|
||||||
print(f"❌ File not found: {filepath}")
|
|
||||||
sys.exit(1)
|
|
||||||
|
|
||||||
if not filepath.is_file():
|
|
||||||
print(f"❌ Not a file: {filepath}")
|
|
||||||
sys.exit(1)
|
|
||||||
|
|
||||||
filepath = filepath.resolve()
|
|
||||||
|
|
||||||
# Detect file type
|
|
||||||
file_type = detect_file_type(filepath)
|
|
||||||
|
|
||||||
print(f"Detected: {file_type}")
|
|
||||||
|
|
||||||
# Check if compressible
|
|
||||||
if not should_compress(filepath):
|
|
||||||
print("Skipping: file is not natural language (code/config)")
|
|
||||||
sys.exit(0)
|
|
||||||
|
|
||||||
print("Starting caveman compression...\n")
|
|
||||||
|
|
||||||
try:
|
|
||||||
success = compress_file(filepath)
|
|
||||||
|
|
||||||
if success:
|
|
||||||
print("\nCompression completed successfully")
|
|
||||||
backup_path = filepath.with_name(filepath.stem + ".original.md")
|
|
||||||
print(f"Compressed: {filepath}")
|
|
||||||
print(f"Original: {backup_path}")
|
|
||||||
sys.exit(0)
|
|
||||||
else:
|
|
||||||
print("\n❌ Compression failed after retries")
|
|
||||||
sys.exit(2)
|
|
||||||
|
|
||||||
except KeyboardInterrupt:
|
|
||||||
print("\nInterrupted by user")
|
|
||||||
sys.exit(130)
|
|
||||||
|
|
||||||
except Exception as e:
|
|
||||||
print(f"\n❌ Error: {e}")
|
|
||||||
sys.exit(1)
|
|
||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
|
||||||
main()
|
|
||||||
@@ -1,176 +0,0 @@
|
|||||||
#!/usr/bin/env python3
|
|
||||||
"""
|
|
||||||
Caveman Memory Compression Orchestrator
|
|
||||||
|
|
||||||
Usage:
|
|
||||||
python scripts/compress.py <filepath>
|
|
||||||
"""
|
|
||||||
|
|
||||||
import os
|
|
||||||
import re
|
|
||||||
import subprocess
|
|
||||||
from pathlib import Path
|
|
||||||
from typing import List
|
|
||||||
|
|
||||||
OUTER_FENCE_REGEX = re.compile(
|
|
||||||
r"\A\s*(`{3,}|~{3,})[^\n]*\n(.*)\n\1\s*\Z", re.DOTALL
|
|
||||||
)
|
|
||||||
|
|
||||||
|
|
||||||
def strip_llm_wrapper(text: str) -> str:
|
|
||||||
"""Strip outer ```markdown ... ``` fence when it wraps the entire output."""
|
|
||||||
m = OUTER_FENCE_REGEX.match(text)
|
|
||||||
if m:
|
|
||||||
return m.group(2)
|
|
||||||
return text
|
|
||||||
|
|
||||||
from .detect import should_compress
|
|
||||||
from .validate import validate
|
|
||||||
|
|
||||||
MAX_RETRIES = 2
|
|
||||||
|
|
||||||
|
|
||||||
# ---------- Claude Calls ----------
|
|
||||||
|
|
||||||
|
|
||||||
def call_claude(prompt: str) -> str:
|
|
||||||
api_key = os.environ.get("ANTHROPIC_API_KEY")
|
|
||||||
if api_key:
|
|
||||||
try:
|
|
||||||
import anthropic
|
|
||||||
|
|
||||||
client = anthropic.Anthropic(api_key=api_key)
|
|
||||||
msg = client.messages.create(
|
|
||||||
model=os.environ.get("CAVEMAN_MODEL", "claude-sonnet-4-5"),
|
|
||||||
max_tokens=8192,
|
|
||||||
messages=[{"role": "user", "content": prompt}],
|
|
||||||
)
|
|
||||||
return strip_llm_wrapper(msg.content[0].text.strip())
|
|
||||||
except ImportError:
|
|
||||||
pass # anthropic not installed, fall back to CLI
|
|
||||||
# Fallback: use claude CLI (handles desktop auth)
|
|
||||||
try:
|
|
||||||
result = subprocess.run(
|
|
||||||
["claude", "--print"],
|
|
||||||
input=prompt,
|
|
||||||
text=True,
|
|
||||||
capture_output=True,
|
|
||||||
check=True,
|
|
||||||
)
|
|
||||||
return strip_llm_wrapper(result.stdout.strip())
|
|
||||||
except subprocess.CalledProcessError as e:
|
|
||||||
raise RuntimeError(f"Claude call failed:\n{e.stderr}")
|
|
||||||
|
|
||||||
|
|
||||||
def build_compress_prompt(original: str) -> str:
|
|
||||||
return f"""
|
|
||||||
Compress this markdown into caveman format.
|
|
||||||
|
|
||||||
STRICT RULES:
|
|
||||||
- Do NOT modify anything inside ``` code blocks
|
|
||||||
- Do NOT modify anything inside inline backticks
|
|
||||||
- Preserve ALL URLs exactly
|
|
||||||
- Preserve ALL headings exactly
|
|
||||||
- Preserve file paths and commands
|
|
||||||
- Return ONLY the compressed markdown body — do NOT wrap the entire output in a ```markdown fence or any other fence. Inner code blocks from the original stay as-is; do not add a new outer fence around the whole file.
|
|
||||||
|
|
||||||
Only compress natural language.
|
|
||||||
|
|
||||||
TEXT:
|
|
||||||
{original}
|
|
||||||
"""
|
|
||||||
|
|
||||||
|
|
||||||
def build_fix_prompt(original: str, compressed: str, errors: List[str]) -> str:
|
|
||||||
errors_str = "\n".join(f"- {e}" for e in errors)
|
|
||||||
return f"""You are fixing a caveman-compressed markdown file. Specific validation errors were found.
|
|
||||||
|
|
||||||
CRITICAL RULES:
|
|
||||||
- DO NOT recompress or rephrase the file
|
|
||||||
- ONLY fix the listed errors — leave everything else exactly as-is
|
|
||||||
- The ORIGINAL is provided as reference only (to restore missing content)
|
|
||||||
- Preserve caveman style in all untouched sections
|
|
||||||
|
|
||||||
ERRORS TO FIX:
|
|
||||||
{errors_str}
|
|
||||||
|
|
||||||
HOW TO FIX:
|
|
||||||
- Missing URL: find it in ORIGINAL, restore it exactly where it belongs in COMPRESSED
|
|
||||||
- Code block mismatch: find the exact code block in ORIGINAL, restore it in COMPRESSED
|
|
||||||
- Heading mismatch: restore the exact heading text from ORIGINAL into COMPRESSED
|
|
||||||
- Do not touch any section not mentioned in the errors
|
|
||||||
|
|
||||||
ORIGINAL (reference only):
|
|
||||||
{original}
|
|
||||||
|
|
||||||
COMPRESSED (fix this):
|
|
||||||
{compressed}
|
|
||||||
|
|
||||||
Return ONLY the fixed compressed file. No explanation.
|
|
||||||
"""
|
|
||||||
|
|
||||||
|
|
||||||
# ---------- Core Logic ----------
|
|
||||||
|
|
||||||
|
|
||||||
def compress_file(filepath: Path) -> bool:
|
|
||||||
# Resolve and validate path
|
|
||||||
filepath = filepath.resolve()
|
|
||||||
MAX_FILE_SIZE = 500_000 # 500KB
|
|
||||||
if not filepath.exists():
|
|
||||||
raise FileNotFoundError(f"File not found: {filepath}")
|
|
||||||
if filepath.stat().st_size > MAX_FILE_SIZE:
|
|
||||||
raise ValueError(f"File too large to compress safely (max 500KB): {filepath}")
|
|
||||||
|
|
||||||
print(f"Processing: {filepath}")
|
|
||||||
|
|
||||||
if not should_compress(filepath):
|
|
||||||
print("Skipping (not natural language)")
|
|
||||||
return False
|
|
||||||
|
|
||||||
original_text = filepath.read_text(errors="ignore")
|
|
||||||
backup_path = filepath.with_name(filepath.stem + ".original.md")
|
|
||||||
|
|
||||||
# Check if backup already exists to prevent accidental overwriting
|
|
||||||
if backup_path.exists():
|
|
||||||
print(f"⚠️ Backup file already exists: {backup_path}")
|
|
||||||
print("The original backup may contain important content.")
|
|
||||||
print("Aborting to prevent data loss. Please remove or rename the backup file if you want to proceed.")
|
|
||||||
return False
|
|
||||||
|
|
||||||
# Step 1: Compress
|
|
||||||
print("Compressing with Claude...")
|
|
||||||
compressed = call_claude(build_compress_prompt(original_text))
|
|
||||||
|
|
||||||
# Save original as backup, write compressed to original path
|
|
||||||
backup_path.write_text(original_text)
|
|
||||||
filepath.write_text(compressed)
|
|
||||||
|
|
||||||
# Step 2: Validate + Retry
|
|
||||||
for attempt in range(MAX_RETRIES):
|
|
||||||
print(f"\nValidation attempt {attempt + 1}")
|
|
||||||
|
|
||||||
result = validate(backup_path, filepath)
|
|
||||||
|
|
||||||
if result.is_valid:
|
|
||||||
print("Validation passed")
|
|
||||||
break
|
|
||||||
|
|
||||||
print("❌ Validation failed:")
|
|
||||||
for err in result.errors:
|
|
||||||
print(f" - {err}")
|
|
||||||
|
|
||||||
if attempt == MAX_RETRIES - 1:
|
|
||||||
# Restore original on failure
|
|
||||||
filepath.write_text(original_text)
|
|
||||||
backup_path.unlink(missing_ok=True)
|
|
||||||
print("❌ Failed after retries — original restored")
|
|
||||||
return False
|
|
||||||
|
|
||||||
print("Fixing with Claude...")
|
|
||||||
compressed = call_claude(
|
|
||||||
build_fix_prompt(original_text, compressed, result.errors)
|
|
||||||
)
|
|
||||||
filepath.write_text(compressed)
|
|
||||||
|
|
||||||
return True
|
|
||||||
@@ -1,121 +0,0 @@
|
|||||||
#!/usr/bin/env python3
|
|
||||||
"""Detect whether a file is natural language (compressible) or code/config (skip)."""
|
|
||||||
|
|
||||||
import json
|
|
||||||
import re
|
|
||||||
from pathlib import Path
|
|
||||||
|
|
||||||
# Extensions that are natural language and compressible
|
|
||||||
COMPRESSIBLE_EXTENSIONS = {".md", ".txt", ".markdown", ".rst"}
|
|
||||||
|
|
||||||
# Extensions that are code/config and should be skipped
|
|
||||||
SKIP_EXTENSIONS = {
|
|
||||||
".py", ".js", ".ts", ".tsx", ".jsx", ".json", ".yaml", ".yml",
|
|
||||||
".toml", ".env", ".lock", ".css", ".scss", ".html", ".xml",
|
|
||||||
".sql", ".sh", ".bash", ".zsh", ".go", ".rs", ".java", ".c",
|
|
||||||
".cpp", ".h", ".hpp", ".rb", ".php", ".swift", ".kt", ".lua",
|
|
||||||
".dockerfile", ".makefile", ".csv", ".ini", ".cfg",
|
|
||||||
}
|
|
||||||
|
|
||||||
# Patterns that indicate a line is code
|
|
||||||
CODE_PATTERNS = [
|
|
||||||
re.compile(r"^\s*(import |from .+ import |require\(|const |let |var )"),
|
|
||||||
re.compile(r"^\s*(def |class |function |async function |export )"),
|
|
||||||
re.compile(r"^\s*(if\s*\(|for\s*\(|while\s*\(|switch\s*\(|try\s*\{)"),
|
|
||||||
re.compile(r"^\s*[\}\]\);]+\s*$"), # closing braces/brackets
|
|
||||||
re.compile(r"^\s*@\w+"), # decorators/annotations
|
|
||||||
re.compile(r'^\s*"[^"]+"\s*:\s*'), # JSON-like key-value
|
|
||||||
re.compile(r"^\s*\w+\s*=\s*[{\[\(\"']"), # assignment with literal
|
|
||||||
]
|
|
||||||
|
|
||||||
|
|
||||||
def _is_code_line(line: str) -> bool:
|
|
||||||
"""Check if a line looks like code."""
|
|
||||||
return any(p.match(line) for p in CODE_PATTERNS)
|
|
||||||
|
|
||||||
|
|
||||||
def _is_json_content(text: str) -> bool:
|
|
||||||
"""Check if content is valid JSON."""
|
|
||||||
try:
|
|
||||||
json.loads(text)
|
|
||||||
return True
|
|
||||||
except (json.JSONDecodeError, ValueError):
|
|
||||||
return False
|
|
||||||
|
|
||||||
|
|
||||||
def _is_yaml_content(lines: list[str]) -> bool:
|
|
||||||
"""Heuristic: check if content looks like YAML."""
|
|
||||||
yaml_indicators = 0
|
|
||||||
for line in lines[:30]:
|
|
||||||
stripped = line.strip()
|
|
||||||
if stripped.startswith("---"):
|
|
||||||
yaml_indicators += 1
|
|
||||||
elif re.match(r"^\w[\w\s]*:\s", stripped):
|
|
||||||
yaml_indicators += 1
|
|
||||||
elif stripped.startswith("- ") and ":" in stripped:
|
|
||||||
yaml_indicators += 1
|
|
||||||
# If most non-empty lines look like YAML
|
|
||||||
non_empty = sum(1 for l in lines[:30] if l.strip())
|
|
||||||
return non_empty > 0 and yaml_indicators / non_empty > 0.6
|
|
||||||
|
|
||||||
|
|
||||||
def detect_file_type(filepath: Path) -> str:
|
|
||||||
"""Classify a file as 'natural_language', 'code', 'config', or 'unknown'.
|
|
||||||
|
|
||||||
Returns:
|
|
||||||
One of: 'natural_language', 'code', 'config', 'unknown'
|
|
||||||
"""
|
|
||||||
ext = filepath.suffix.lower()
|
|
||||||
|
|
||||||
# Extension-based classification
|
|
||||||
if ext in COMPRESSIBLE_EXTENSIONS:
|
|
||||||
return "natural_language"
|
|
||||||
if ext in SKIP_EXTENSIONS:
|
|
||||||
return "code" if ext not in {".json", ".yaml", ".yml", ".toml", ".ini", ".cfg", ".env"} else "config"
|
|
||||||
|
|
||||||
# Extensionless files (like CLAUDE.md, TODO) — check content
|
|
||||||
if not ext:
|
|
||||||
try:
|
|
||||||
text = filepath.read_text(errors="ignore")
|
|
||||||
except (OSError, PermissionError):
|
|
||||||
return "unknown"
|
|
||||||
|
|
||||||
lines = text.splitlines()[:50]
|
|
||||||
|
|
||||||
if _is_json_content(text[:10000]):
|
|
||||||
return "config"
|
|
||||||
if _is_yaml_content(lines):
|
|
||||||
return "config"
|
|
||||||
|
|
||||||
code_lines = sum(1 for l in lines if l.strip() and _is_code_line(l))
|
|
||||||
non_empty = sum(1 for l in lines if l.strip())
|
|
||||||
if non_empty > 0 and code_lines / non_empty > 0.4:
|
|
||||||
return "code"
|
|
||||||
|
|
||||||
return "natural_language"
|
|
||||||
|
|
||||||
return "unknown"
|
|
||||||
|
|
||||||
|
|
||||||
def should_compress(filepath: Path) -> bool:
|
|
||||||
"""Return True if the file is natural language and should be compressed."""
|
|
||||||
if not filepath.is_file():
|
|
||||||
return False
|
|
||||||
# Skip backup files
|
|
||||||
if filepath.name.endswith(".original.md"):
|
|
||||||
return False
|
|
||||||
return detect_file_type(filepath) == "natural_language"
|
|
||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
|
||||||
import sys
|
|
||||||
|
|
||||||
if len(sys.argv) < 2:
|
|
||||||
print("Usage: python detect.py <file1> [file2] ...")
|
|
||||||
sys.exit(1)
|
|
||||||
|
|
||||||
for path_str in sys.argv[1:]:
|
|
||||||
p = Path(path_str).resolve()
|
|
||||||
file_type = detect_file_type(p)
|
|
||||||
compress = should_compress(p)
|
|
||||||
print(f" {p.name:30s} type={file_type:20s} compress={compress}")
|
|
||||||
@@ -1,189 +0,0 @@
|
|||||||
#!/usr/bin/env python3
|
|
||||||
import re
|
|
||||||
from pathlib import Path
|
|
||||||
|
|
||||||
URL_REGEX = re.compile(r"https?://[^\s)]+")
|
|
||||||
FENCE_OPEN_REGEX = re.compile(r"^(\s{0,3})(`{3,}|~{3,})(.*)$")
|
|
||||||
HEADING_REGEX = re.compile(r"^(#{1,6})\s+(.*)", re.MULTILINE)
|
|
||||||
BULLET_REGEX = re.compile(r"^\s*[-*+]\s+", re.MULTILINE)
|
|
||||||
|
|
||||||
# crude but effective path detection
|
|
||||||
# Requires either a path prefix (./ ../ / or drive letter) or a slash/backslash within the match
|
|
||||||
PATH_REGEX = re.compile(r"(?:\./|\.\./|/|[A-Za-z]:\\)[\w\-/\\\.]+|[\w\-\.]+[/\\][\w\-/\\\.]+")
|
|
||||||
|
|
||||||
|
|
||||||
class ValidationResult:
|
|
||||||
def __init__(self):
|
|
||||||
self.is_valid = True
|
|
||||||
self.errors = []
|
|
||||||
self.warnings = []
|
|
||||||
|
|
||||||
def add_error(self, msg):
|
|
||||||
self.is_valid = False
|
|
||||||
self.errors.append(msg)
|
|
||||||
|
|
||||||
def add_warning(self, msg):
|
|
||||||
self.warnings.append(msg)
|
|
||||||
|
|
||||||
|
|
||||||
def read_file(path: Path) -> str:
|
|
||||||
return path.read_text(errors="ignore")
|
|
||||||
|
|
||||||
|
|
||||||
# ---------- Extractors ----------
|
|
||||||
|
|
||||||
|
|
||||||
def extract_headings(text):
|
|
||||||
return [(level, title.strip()) for level, title in HEADING_REGEX.findall(text)]
|
|
||||||
|
|
||||||
|
|
||||||
def extract_code_blocks(text):
|
|
||||||
"""Line-based fenced code block extractor.
|
|
||||||
|
|
||||||
Handles ``` and ~~~ fences with variable length (CommonMark: closing
|
|
||||||
fence must use same char and be at least as long as opening). Supports
|
|
||||||
nested fences (e.g. an outer 4-backtick block wrapping inner 3-backtick
|
|
||||||
content).
|
|
||||||
"""
|
|
||||||
blocks = []
|
|
||||||
lines = text.split("\n")
|
|
||||||
i = 0
|
|
||||||
n = len(lines)
|
|
||||||
while i < n:
|
|
||||||
m = FENCE_OPEN_REGEX.match(lines[i])
|
|
||||||
if not m:
|
|
||||||
i += 1
|
|
||||||
continue
|
|
||||||
fence_char = m.group(2)[0]
|
|
||||||
fence_len = len(m.group(2))
|
|
||||||
open_line = lines[i]
|
|
||||||
block_lines = [open_line]
|
|
||||||
i += 1
|
|
||||||
closed = False
|
|
||||||
while i < n:
|
|
||||||
close_m = FENCE_OPEN_REGEX.match(lines[i])
|
|
||||||
if (
|
|
||||||
close_m
|
|
||||||
and close_m.group(2)[0] == fence_char
|
|
||||||
and len(close_m.group(2)) >= fence_len
|
|
||||||
and close_m.group(3).strip() == ""
|
|
||||||
):
|
|
||||||
block_lines.append(lines[i])
|
|
||||||
closed = True
|
|
||||||
i += 1
|
|
||||||
break
|
|
||||||
block_lines.append(lines[i])
|
|
||||||
i += 1
|
|
||||||
if closed:
|
|
||||||
blocks.append("\n".join(block_lines))
|
|
||||||
# Unclosed fences are silently skipped — they indicate malformed markdown
|
|
||||||
# and including them would cause false-positive validation failures.
|
|
||||||
return blocks
|
|
||||||
|
|
||||||
|
|
||||||
def extract_urls(text):
|
|
||||||
return set(URL_REGEX.findall(text))
|
|
||||||
|
|
||||||
|
|
||||||
def extract_paths(text):
|
|
||||||
return set(PATH_REGEX.findall(text))
|
|
||||||
|
|
||||||
|
|
||||||
def count_bullets(text):
|
|
||||||
return len(BULLET_REGEX.findall(text))
|
|
||||||
|
|
||||||
|
|
||||||
# ---------- Validators ----------
|
|
||||||
|
|
||||||
|
|
||||||
def validate_headings(orig, comp, result):
|
|
||||||
h1 = extract_headings(orig)
|
|
||||||
h2 = extract_headings(comp)
|
|
||||||
|
|
||||||
if len(h1) != len(h2):
|
|
||||||
result.add_error(f"Heading count mismatch: {len(h1)} vs {len(h2)}")
|
|
||||||
|
|
||||||
if h1 != h2:
|
|
||||||
result.add_warning("Heading text/order changed")
|
|
||||||
|
|
||||||
|
|
||||||
def validate_code_blocks(orig, comp, result):
|
|
||||||
c1 = extract_code_blocks(orig)
|
|
||||||
c2 = extract_code_blocks(comp)
|
|
||||||
|
|
||||||
if c1 != c2:
|
|
||||||
result.add_error("Code blocks not preserved exactly")
|
|
||||||
|
|
||||||
|
|
||||||
def validate_urls(orig, comp, result):
|
|
||||||
u1 = extract_urls(orig)
|
|
||||||
u2 = extract_urls(comp)
|
|
||||||
|
|
||||||
if u1 != u2:
|
|
||||||
result.add_error(f"URL mismatch: lost={u1 - u2}, added={u2 - u1}")
|
|
||||||
|
|
||||||
|
|
||||||
def validate_paths(orig, comp, result):
|
|
||||||
p1 = extract_paths(orig)
|
|
||||||
p2 = extract_paths(comp)
|
|
||||||
|
|
||||||
if p1 != p2:
|
|
||||||
result.add_warning(f"Path mismatch: lost={p1 - p2}, added={p2 - p1}")
|
|
||||||
|
|
||||||
|
|
||||||
def validate_bullets(orig, comp, result):
|
|
||||||
b1 = count_bullets(orig)
|
|
||||||
b2 = count_bullets(comp)
|
|
||||||
|
|
||||||
if b1 == 0:
|
|
||||||
return
|
|
||||||
|
|
||||||
diff = abs(b1 - b2) / b1
|
|
||||||
|
|
||||||
if diff > 0.15:
|
|
||||||
result.add_warning(f"Bullet count changed too much: {b1} -> {b2}")
|
|
||||||
|
|
||||||
|
|
||||||
# ---------- Main ----------
|
|
||||||
|
|
||||||
|
|
||||||
def validate(original_path: Path, compressed_path: Path) -> ValidationResult:
|
|
||||||
result = ValidationResult()
|
|
||||||
|
|
||||||
orig = read_file(original_path)
|
|
||||||
comp = read_file(compressed_path)
|
|
||||||
|
|
||||||
validate_headings(orig, comp, result)
|
|
||||||
validate_code_blocks(orig, comp, result)
|
|
||||||
validate_urls(orig, comp, result)
|
|
||||||
validate_paths(orig, comp, result)
|
|
||||||
validate_bullets(orig, comp, result)
|
|
||||||
|
|
||||||
return result
|
|
||||||
|
|
||||||
|
|
||||||
# ---------- CLI ----------
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
|
||||||
import sys
|
|
||||||
|
|
||||||
if len(sys.argv) != 3:
|
|
||||||
print("Usage: python validate.py <original> <compressed>")
|
|
||||||
sys.exit(1)
|
|
||||||
|
|
||||||
orig = Path(sys.argv[1]).resolve()
|
|
||||||
comp = Path(sys.argv[2]).resolve()
|
|
||||||
|
|
||||||
res = validate(orig, comp)
|
|
||||||
|
|
||||||
print(f"\nValid: {res.is_valid}")
|
|
||||||
|
|
||||||
if res.errors:
|
|
||||||
print("\nErrors:")
|
|
||||||
for e in res.errors:
|
|
||||||
print(f" - {e}")
|
|
||||||
|
|
||||||
if res.warnings:
|
|
||||||
print("\nWarnings:")
|
|
||||||
for w in res.warnings:
|
|
||||||
print(f" - {w}")
|
|
||||||
@@ -1,55 +0,0 @@
|
|||||||
---
|
|
||||||
name: caveman-review
|
|
||||||
description: >
|
|
||||||
Ultra-compressed code review comments. Cuts noise from PR feedback while preserving
|
|
||||||
the actionable signal. Each comment is one line: location, problem, fix. Use when user
|
|
||||||
says "review this PR", "code review", "review the diff", "/review", or invokes
|
|
||||||
/caveman-review. Auto-triggers when reviewing pull requests.
|
|
||||||
---
|
|
||||||
|
|
||||||
Write code review comments terse and actionable. One line per finding. Location, problem, fix. No throat-clearing.
|
|
||||||
|
|
||||||
## Rules
|
|
||||||
|
|
||||||
**Format:** `L<line>: <problem>. <fix>.` — or `<file>:L<line>: ...` when reviewing multi-file diffs.
|
|
||||||
|
|
||||||
**Severity prefix (optional, when mixed):**
|
|
||||||
- `🔴 bug:` — broken behavior, will cause incident
|
|
||||||
- `🟡 risk:` — works but fragile (race, missing null check, swallowed error)
|
|
||||||
- `🔵 nit:` — style, naming, micro-optim. Author can ignore
|
|
||||||
- `❓ q:` — genuine question, not a suggestion
|
|
||||||
|
|
||||||
**Drop:**
|
|
||||||
- "I noticed that...", "It seems like...", "You might want to consider..."
|
|
||||||
- "This is just a suggestion but..." — use `nit:` instead
|
|
||||||
- "Great work!", "Looks good overall but..." — say it once at the top, not per comment
|
|
||||||
- Restating what the line does — the reviewer can read the diff
|
|
||||||
- Hedging ("perhaps", "maybe", "I think") — if unsure use `q:`
|
|
||||||
|
|
||||||
**Keep:**
|
|
||||||
- Exact line numbers
|
|
||||||
- Exact symbol/function/variable names in backticks
|
|
||||||
- Concrete fix, not "consider refactoring this"
|
|
||||||
- The *why* if the fix isn't obvious from the problem statement
|
|
||||||
|
|
||||||
## Examples
|
|
||||||
|
|
||||||
❌ "I noticed that on line 42 you're not checking if the user object is null before accessing the email property. This could potentially cause a crash if the user is not found in the database. You might want to add a null check here."
|
|
||||||
|
|
||||||
✅ `L42: 🔴 bug: user can be null after .find(). Add guard before .email.`
|
|
||||||
|
|
||||||
❌ "It looks like this function is doing a lot of things and might benefit from being broken up into smaller functions for readability."
|
|
||||||
|
|
||||||
✅ `L88-140: 🔵 nit: 50-line fn does 4 things. Extract validate/normalize/persist.`
|
|
||||||
|
|
||||||
❌ "Have you considered what happens if the API returns a 429? I think we should probably handle that case."
|
|
||||||
|
|
||||||
✅ `L23: 🟡 risk: no retry on 429. Wrap in withBackoff(3).`
|
|
||||||
|
|
||||||
## Auto-Clarity
|
|
||||||
|
|
||||||
Drop terse mode for: security findings (CVE-class bugs need full explanation + reference), architectural disagreements (need rationale, not just a one-liner), and onboarding contexts where the author is new and needs the "why". In those cases write a normal paragraph, then resume terse for the rest.
|
|
||||||
|
|
||||||
## Boundaries
|
|
||||||
|
|
||||||
Reviews only — does not write the code fix, does not approve/request-changes, does not run linters. Output the comment(s) ready to paste into the PR. "stop caveman-review" or "normal mode": revert to verbose review style.
|
|
||||||
@@ -1,67 +0,0 @@
|
|||||||
---
|
|
||||||
name: caveman
|
|
||||||
description: >
|
|
||||||
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman
|
|
||||||
while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra,
|
|
||||||
wenyan-lite, wenyan-full, wenyan-ultra.
|
|
||||||
Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens",
|
|
||||||
"be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
|
|
||||||
---
|
|
||||||
|
|
||||||
Respond terse like smart caveman. All technical substance stay. Only fluff die.
|
|
||||||
|
|
||||||
## Persistence
|
|
||||||
|
|
||||||
ACTIVE EVERY RESPONSE. No revert after many turns. No filler drift. Still active if unsure. Off only: "stop caveman" / "normal mode".
|
|
||||||
|
|
||||||
Default: **full**. Switch: `/caveman lite|full|ultra`.
|
|
||||||
|
|
||||||
## Rules
|
|
||||||
|
|
||||||
Drop: articles (a/an/the), filler (just/really/basically/actually/simply), pleasantries (sure/certainly/of course/happy to), hedging. Fragments OK. Short synonyms (big not extensive, fix not "implement a solution for"). Technical terms exact. Code blocks unchanged. Errors quoted exact.
|
|
||||||
|
|
||||||
Pattern: `[thing] [action] [reason]. [next step].`
|
|
||||||
|
|
||||||
Not: "Sure! I'd be happy to help you with that. The issue you're experiencing is likely caused by..."
|
|
||||||
Yes: "Bug in auth middleware. Token expiry check use `<` not `<=`. Fix:"
|
|
||||||
|
|
||||||
## Intensity
|
|
||||||
|
|
||||||
| Level | What change |
|
|
||||||
|-------|------------|
|
|
||||||
| **lite** | No filler/hedging. Keep articles + full sentences. Professional but tight |
|
|
||||||
| **full** | Drop articles, fragments OK, short synonyms. Classic caveman |
|
|
||||||
| **ultra** | Abbreviate (DB/auth/config/req/res/fn/impl), strip conjunctions, arrows for causality (X → Y), one word when one word enough |
|
|
||||||
| **wenyan-lite** | Semi-classical. Drop filler/hedging but keep grammar structure, classical register |
|
|
||||||
| **wenyan-full** | Maximum classical terseness. Fully 文言文. 80-90% character reduction. Classical sentence patterns, verbs precede objects, subjects often omitted, classical particles (之/乃/為/其) |
|
|
||||||
| **wenyan-ultra** | Extreme abbreviation while keeping classical Chinese feel. Maximum compression, ultra terse |
|
|
||||||
|
|
||||||
Example — "Why React component re-render?"
|
|
||||||
- lite: "Your component re-renders because you create a new object reference each render. Wrap it in `useMemo`."
|
|
||||||
- full: "New object ref each render. Inline object prop = new ref = re-render. Wrap in `useMemo`."
|
|
||||||
- ultra: "Inline obj prop → new ref → re-render. `useMemo`."
|
|
||||||
- wenyan-lite: "組件頻重繪，以每繪新生對象參照故。以 useMemo 包之。"
|
|
||||||
- wenyan-full: "物出新參照，致重繪。useMemo .Wrap之。"
|
|
||||||
- wenyan-ultra: "新參照→重繪。useMemo Wrap。"
|
|
||||||
|
|
||||||
Example — "Explain database connection pooling."
|
|
||||||
- lite: "Connection pooling reuses open connections instead of creating new ones per request. Avoids repeated handshake overhead."
|
|
||||||
- full: "Pool reuse open DB connections. No new connection per request. Skip handshake overhead."
|
|
||||||
- ultra: "Pool = reuse DB conn. Skip handshake → fast under load."
|
|
||||||
- wenyan-full: "池reuse open connection。不每req新開。skip handshake overhead。"
|
|
||||||
- wenyan-ultra: "池reuse conn。skip handshake → fast。"
|
|
||||||
|
|
||||||
## Auto-Clarity
|
|
||||||
|
|
||||||
Drop caveman for: security warnings, irreversible action confirmations, multi-step sequences where fragment order risks misread, user asks to clarify or repeats question. Resume caveman after clear part done.
|
|
||||||
|
|
||||||
Example — destructive op:
|
|
||||||
> **Warning:** This will permanently delete all rows in the `users` table and cannot be undone.
|
|
||||||
> ```sql
|
|
||||||
> DROP TABLE users;
|
|
||||||
> ```
|
|
||||||
> Caveman resume. Verify backup exist first.
|
|
||||||
|
|
||||||
## Boundaries
|
|
||||||
|
|
||||||
Code/commits/PRs: write normal. "stop caveman" or "normal mode": revert. Level persist until changed or session end.
|
|
||||||
71
ccc/SKILL.md
71
ccc/SKILL.md
@@ -1,71 +0,0 @@
|
|||||||
---
|
|
||||||
name: ccc
|
|
||||||
description: "This skill should be used when code search is needed (whether explicitly requested or as part of completing a task), when indexing the codebase after changes, or when the user asks about ccc, cocoindex-code, or the codebase index. Trigger phrases include 'search the codebase', 'find code related to', 'update the index', 'ccc', 'cocoindex-code'."
|
|
||||||
---
|
|
||||||
|
|
||||||
# ccc - Semantic Code Search & Indexing
|
|
||||||
|
|
||||||
`ccc` is the CLI for CocoIndex Code, providing semantic search over the current codebase and index management.
|
|
||||||
|
|
||||||
## Ownership
|
|
||||||
|
|
||||||
The agent owns the `ccc` lifecycle for the current project — initialization, indexing, and searching. Do not ask the user to perform these steps; handle them automatically.
|
|
||||||
|
|
||||||
- **Initialization**: If `ccc search` or `ccc index` fails with an initialization error (e.g., "Not in an initialized project directory"), run `ccc init` from the project root directory, then `ccc index` to build the index, then retry the original command.
|
|
||||||
- **Index freshness**: Keep the index up to date by running `ccc index` (or `ccc search --refresh`) when the index may be stale — e.g., at the start of a session, or after making significant code changes (new files, refactors, renamed modules). There is no need to re-index between consecutive searches if no code was changed in between.
|
|
||||||
- **Installation**: If `ccc` itself is not found (command not found), refer to [management.md](references/management.md) for installation instructions and inform the user.
|
|
||||||
|
|
||||||
## Searching the Codebase
|
|
||||||
|
|
||||||
To perform a semantic search:
|
|
||||||
|
|
||||||
```bash
|
|
||||||
ccc search <query terms>
|
|
||||||
```
|
|
||||||
|
|
||||||
The query should describe the concept, functionality, or behavior to find, not exact code syntax. For example:
|
|
||||||
|
|
||||||
```bash
|
|
||||||
ccc search database connection pooling
|
|
||||||
ccc search user authentication flow
|
|
||||||
ccc search error handling retry logic
|
|
||||||
```
|
|
||||||
|
|
||||||
### Filtering Results
|
|
||||||
|
|
||||||
- **By language** (`--lang`, repeatable): restrict results to specific languages.
|
|
||||||
|
|
||||||
```bash
|
|
||||||
ccc search --lang python --lang markdown database schema
|
|
||||||
```
|
|
||||||
|
|
||||||
- **By path** (`--path`): restrict results to a glob pattern relative to project root. If omitted, defaults to the current working directory (only results under that subdirectory are returned).
|
|
||||||
|
|
||||||
```bash
|
|
||||||
ccc search --path 'src/api/*' request validation
|
|
||||||
```
|
|
||||||
|
|
||||||
### Pagination
|
|
||||||
|
|
||||||
Results default to the first page. To retrieve additional results:
|
|
||||||
|
|
||||||
```bash
|
|
||||||
ccc search --offset 5 --limit 5 database schema
|
|
||||||
```
|
|
||||||
|
|
||||||
If all returned results look relevant, use `--offset` to fetch the next page — there are likely more useful matches beyond the first page.
|
|
||||||
|
|
||||||
### Working with Search Results
|
|
||||||
|
|
||||||
Search results include file paths and line ranges. To explore a result in more detail:
|
|
||||||
|
|
||||||
- Use the editor's built-in file reading capabilities (e.g., the `Read` tool) to load the matched file and read lines around the returned range for full context.
|
|
||||||
- When working in a terminal without a file-reading tool, use `sed -n '<start>,<end>p' <file>` to extract a specific line range.
|
|
||||||
|
|
||||||
## Settings
|
|
||||||
|
|
||||||
To view or edit embedding model configuration, include/exclude patterns, or language overrides, see [settings.md](references/settings.md).
|
|
||||||
|
|
||||||
## Management & Troubleshooting
|
|
||||||
|
|
||||||
For installation, initialization, daemon management, troubleshooting, and cleanup commands, see [management.md](references/management.md).
|
|
||||||
@@ -1,95 +0,0 @@
|
|||||||
# ccc Management
|
|
||||||
|
|
||||||
## Installation
|
|
||||||
|
|
||||||
Install CocoIndex Code via pipx:
|
|
||||||
|
|
||||||
```bash
|
|
||||||
pipx install cocoindex-code
|
|
||||||
```
|
|
||||||
|
|
||||||
To upgrade to the latest version:
|
|
||||||
|
|
||||||
```bash
|
|
||||||
pipx upgrade cocoindex-code
|
|
||||||
```
|
|
||||||
|
|
||||||
After installation, the `ccc` command is available globally.
|
|
||||||
|
|
||||||
## Project Initialization
|
|
||||||
|
|
||||||
Run from the root directory of the project to index:
|
|
||||||
|
|
||||||
```bash
|
|
||||||
ccc init
|
|
||||||
```
|
|
||||||
|
|
||||||
This creates:
|
|
||||||
- `~/.cocoindex_code/global_settings.yml` (user-level settings, e.g., model configuration) if it does not already exist.
|
|
||||||
- `.cocoindex_code/settings.yml` (project-level settings, e.g., include/exclude file patterns).
|
|
||||||
|
|
||||||
If `.git` exists in the directory, `.cocoindex_code/` is automatically added to `.gitignore`.
|
|
||||||
|
|
||||||
Use `-f` to skip the confirmation prompt if `ccc init` detects a potential parent project root.
|
|
||||||
|
|
||||||
After initialization, edit the settings files if needed (see [settings.md](settings.md) for format details), then run `ccc index` to build the initial index.
|
|
||||||
|
|
||||||
## Troubleshooting
|
|
||||||
|
|
||||||
### Diagnostics
|
|
||||||
|
|
||||||
Run `ccc doctor` to check system health end-to-end:
|
|
||||||
|
|
||||||
```bash
|
|
||||||
ccc doctor
|
|
||||||
```
|
|
||||||
|
|
||||||
This checks global settings, daemon status, embedding model (runs a test embedding), and — if run from within a project — file matching (walks files using the same logic as the indexer) and index status. Results stream incrementally. Always points to `daemon.log` at the end for further investigation.
|
|
||||||
|
|
||||||
### Checking Project Status
|
|
||||||
|
|
||||||
To view the current project's index status:
|
|
||||||
|
|
||||||
```bash
|
|
||||||
ccc status
|
|
||||||
```
|
|
||||||
|
|
||||||
This shows whether indexing is ongoing and index statistics.
|
|
||||||
|
|
||||||
### Daemon Management
|
|
||||||
|
|
||||||
The daemon starts automatically on first use. To check its status:
|
|
||||||
|
|
||||||
```bash
|
|
||||||
ccc daemon status
|
|
||||||
```
|
|
||||||
|
|
||||||
This shows whether the daemon is running, its version, uptime, and loaded projects.
|
|
||||||
|
|
||||||
To restart the daemon (useful if it gets into a bad state):
|
|
||||||
|
|
||||||
```bash
|
|
||||||
ccc daemon restart
|
|
||||||
```
|
|
||||||
|
|
||||||
To stop the daemon:
|
|
||||||
|
|
||||||
```bash
|
|
||||||
ccc daemon stop
|
|
||||||
```
|
|
||||||
|
|
||||||
## Cleanup
|
|
||||||
|
|
||||||
To reset a project's index (removes databases, keeps settings):
|
|
||||||
|
|
||||||
```bash
|
|
||||||
ccc reset
|
|
||||||
```
|
|
||||||
|
|
||||||
To fully remove all CocoIndex Code data for a project (including settings):
|
|
||||||
|
|
||||||
```bash
|
|
||||||
ccc reset --all
|
|
||||||
```
|
|
||||||
|
|
||||||
Both commands prompt for confirmation. Use `-f` to skip.
|
|
||||||
@@ -1,126 +0,0 @@
|
|||||||
# ccc Settings
|
|
||||||
|
|
||||||
Configuration lives in two YAML files, both created automatically by `ccc init`.
|
|
||||||
|
|
||||||
## User-Level Settings (`~/.cocoindex_code/global_settings.yml`)
|
|
||||||
|
|
||||||
Shared across all projects. Controls the embedding model and extra environment variables for the daemon.
|
|
||||||
|
|
||||||
```yaml
|
|
||||||
embedding:
|
|
||||||
provider: sentence-transformers # or "litellm" (default when provider is omitted)
|
|
||||||
model: sentence-transformers/all-MiniLM-L6-v2
|
|
||||||
device: mps # optional: cpu, cuda, mps (auto-detected if omitted)
|
|
||||||
min_interval_ms: 300 # optional: pace LiteLLM embedding requests to reduce 429s; defaults to 5 for LiteLLM
|
|
||||||
|
|
||||||
envs: # extra environment variables for the daemon
|
|
||||||
OPENAI_API_KEY: your-key # only needed if not already in the shell environment
|
|
||||||
```
|
|
||||||
|
|
||||||
### Fields
|
|
||||||
|
|
||||||
| Field | Description |
|
|
||||||
|-------|-------------|
|
|
||||||
| `embedding.provider` | `sentence-transformers` for local models, `litellm` (or omit) for cloud/remote models |
|
|
||||||
| `embedding.model` | Model identifier — format depends on provider (see examples below) |
|
|
||||||
| `embedding.device` | Optional. `cpu`, `cuda`, or `mps`. Auto-detected if omitted. Only relevant for `sentence-transformers`. |
|
|
||||||
| `embedding.min_interval_ms` | Optional. Minimum delay between LiteLLM embedding requests in milliseconds. Defaults to `5` for LiteLLM and is ignored by `sentence-transformers`. Set explicitly to override the default. |
|
|
||||||
| `envs` | Key-value map of environment variables injected into the daemon. Use for API keys not already in the shell environment. |
|
|
||||||
|
|
||||||
### Embedding Model Examples
|
|
||||||
|
|
||||||
**Local (sentence-transformers, no API key needed):**
|
|
||||||
|
|
||||||
```yaml
|
|
||||||
embedding:
|
|
||||||
provider: sentence-transformers
|
|
||||||
model: sentence-transformers/all-MiniLM-L6-v2 # default, lightweight
|
|
||||||
```
|
|
||||||
|
|
||||||
```yaml
|
|
||||||
embedding:
|
|
||||||
provider: sentence-transformers
|
|
||||||
model: nomic-ai/CodeRankEmbed # better code retrieval, needs GPU (~1 GB VRAM)
|
|
||||||
```
|
|
||||||
|
|
||||||
**Ollama (local):**
|
|
||||||
|
|
||||||
```yaml
|
|
||||||
embedding:
|
|
||||||
model: ollama/nomic-embed-text
|
|
||||||
```
|
|
||||||
|
|
||||||
**OpenAI:**
|
|
||||||
|
|
||||||
```yaml
|
|
||||||
embedding:
|
|
||||||
model: text-embedding-3-small
|
|
||||||
min_interval_ms: 300
|
|
||||||
envs:
|
|
||||||
OPENAI_API_KEY: your-api-key
|
|
||||||
```
|
|
||||||
|
|
||||||
**Gemini:**
|
|
||||||
|
|
||||||
```yaml
|
|
||||||
embedding:
|
|
||||||
model: gemini/gemini-embedding-001
|
|
||||||
envs:
|
|
||||||
GEMINI_API_KEY: your-api-key
|
|
||||||
```
|
|
||||||
|
|
||||||
**Voyage (code-optimized):**
|
|
||||||
|
|
||||||
```yaml
|
|
||||||
embedding:
|
|
||||||
model: voyage/voyage-code-3
|
|
||||||
envs:
|
|
||||||
VOYAGE_API_KEY: your-api-key
|
|
||||||
```
|
|
||||||
|
|
||||||
For the full list of supported cloud providers and model identifiers, see [LiteLLM Embedding Models](https://docs.litellm.ai/docs/embedding/supported_embedding).
|
|
||||||
|
|
||||||
### Important
|
|
||||||
|
|
||||||
Switching embedding models changes vector dimensions — you must re-index after changing the model:
|
|
||||||
|
|
||||||
```bash
|
|
||||||
ccc reset && ccc index
|
|
||||||
```
|
|
||||||
|
|
||||||
## Project-Level Settings (`<project>/.cocoindex_code/settings.yml`)
|
|
||||||
|
|
||||||
Per-project. Controls which files to index. Created by `ccc init` and automatically added to `.gitignore`.
|
|
||||||
|
|
||||||
```yaml
|
|
||||||
include_patterns:
|
|
||||||
- "**/*.py"
|
|
||||||
- "**/*.js"
|
|
||||||
- "**/*.ts"
|
|
||||||
# ... (sensible defaults for 28+ file types)
|
|
||||||
|
|
||||||
exclude_patterns:
|
|
||||||
- "**/.*" # hidden directories
|
|
||||||
- "**/__pycache__"
|
|
||||||
- "**/node_modules"
|
|
||||||
- "**/dist"
|
|
||||||
# ...
|
|
||||||
|
|
||||||
language_overrides:
|
|
||||||
- ext: inc # treat .inc files as PHP
|
|
||||||
lang: php
|
|
||||||
```
|
|
||||||
|
|
||||||
### Fields
|
|
||||||
|
|
||||||
| Field | Description |
|
|
||||||
|-------|-------------|
|
|
||||||
| `include_patterns` | Glob patterns for files to index. Defaults cover common languages (Python, JS/TS, Rust, Go, Java, C/C++, C#, SQL, Shell, Markdown, PHP, Lua, etc.). |
|
|
||||||
| `exclude_patterns` | Glob patterns for files/directories to skip. Defaults exclude hidden dirs, `node_modules`, `dist`, `__pycache__`, `vendor`, etc. |
|
|
||||||
| `language_overrides` | List of `{ext, lang}` pairs to override language detection for specific file extensions. |
|
|
||||||
|
|
||||||
### Editing Tips
|
|
||||||
|
|
||||||
- To index additional file types, append glob patterns to `include_patterns` (e.g. `"**/*.proto"`).
|
|
||||||
- To exclude a directory, append to `exclude_patterns` (e.g. `"**/generated"`).
|
|
||||||
- After editing, run `ccc index` to re-index with the new settings.
|
|
||||||
@@ -1,142 +0,0 @@
|
|||||||
---
|
|
||||||
name: find-skills
|
|
||||||
description: Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
|
|
||||||
---
|
|
||||||
|
|
||||||
# Find Skills
|
|
||||||
|
|
||||||
This skill helps you discover and install skills from the open agent skills ecosystem.
|
|
||||||
|
|
||||||
## When to Use This Skill
|
|
||||||
|
|
||||||
Use this skill when the user:
|
|
||||||
|
|
||||||
- Asks "how do I do X" where X might be a common task with an existing skill
|
|
||||||
- Says "find a skill for X" or "is there a skill for X"
|
|
||||||
- Asks "can you do X" where X is a specialized capability
|
|
||||||
- Expresses interest in extending agent capabilities
|
|
||||||
- Wants to search for tools, templates, or workflows
|
|
||||||
- Mentions they wish they had help with a specific domain (design, testing, deployment, etc.)
|
|
||||||
|
|
||||||
## What is the Skills CLI?
|
|
||||||
|
|
||||||
The Skills CLI (`npx skills`) is the package manager for the open agent skills ecosystem. Skills are modular packages that extend agent capabilities with specialized knowledge, workflows, and tools.
|
|
||||||
|
|
||||||
**Key commands:**
|
|
||||||
|
|
||||||
- `npx skills find [query]` - Search for skills interactively or by keyword
|
|
||||||
- `npx skills add <package>` - Install a skill from GitHub or other sources
|
|
||||||
- `npx skills check` - Check for skill updates
|
|
||||||
- `npx skills update` - Update all installed skills
|
|
||||||
|
|
||||||
**Browse skills at:** https://skills.sh/
|
|
||||||
|
|
||||||
## How to Help Users Find Skills
|
|
||||||
|
|
||||||
### Step 1: Understand What They Need
|
|
||||||
|
|
||||||
When a user asks for help with something, identify:
|
|
||||||
|
|
||||||
1. The domain (e.g., React, testing, design, deployment)
|
|
||||||
2. The specific task (e.g., writing tests, creating animations, reviewing PRs)
|
|
||||||
3. Whether this is a common enough task that a skill likely exists
|
|
||||||
|
|
||||||
### Step 2: Check the Leaderboard First
|
|
||||||
|
|
||||||
Before running a CLI search, check the [skills.sh leaderboard](https://skills.sh/) to see if a well-known skill already exists for the domain. The leaderboard ranks skills by total installs, surfacing the most popular and battle-tested options.
|
|
||||||
|
|
||||||
For example, top skills for web development include:
|
|
||||||
- `vercel-labs/agent-skills` — React, Next.js, web design (100K+ installs each)
|
|
||||||
- `anthropics/skills` — Frontend design, document processing (100K+ installs)
|
|
||||||
|
|
||||||
### Step 3: Search for Skills
|
|
||||||
|
|
||||||
If the leaderboard doesn't cover the user's need, run the find command:
|
|
||||||
|
|
||||||
```bash
|
|
||||||
npx skills find [query]
|
|
||||||
```
|
|
||||||
|
|
||||||
For example:
|
|
||||||
|
|
||||||
- User asks "how do I make my React app faster?" → `npx skills find react performance`
|
|
||||||
- User asks "can you help me with PR reviews?" → `npx skills find pr review`
|
|
||||||
- User asks "I need to create a changelog" → `npx skills find changelog`
|
|
||||||
|
|
||||||
### Step 4: Verify Quality Before Recommending
|
|
||||||
|
|
||||||
**Do not recommend a skill based solely on search results.** Always verify:
|
|
||||||
|
|
||||||
1. **Install count** — Prefer skills with 1K+ installs. Be cautious with anything under 100.
|
|
||||||
2. **Source reputation** — Official sources (`vercel-labs`, `anthropics`, `microsoft`) are more trustworthy than unknown authors.
|
|
||||||
3. **GitHub stars** — Check the source repository. A skill from a repo with <100 stars should be treated with skepticism.
|
|
||||||
|
|
||||||
### Step 5: Present Options to the User
|
|
||||||
|
|
||||||
When you find relevant skills, present them to the user with:
|
|
||||||
|
|
||||||
1. The skill name and what it does
|
|
||||||
2. The install count and source
|
|
||||||
3. The install command they can run
|
|
||||||
4. A link to learn more at skills.sh
|
|
||||||
|
|
||||||
Example response:
|
|
||||||
|
|
||||||
```
|
|
||||||
I found a skill that might help! The "react-best-practices" skill provides
|
|
||||||
React and Next.js performance optimization guidelines from Vercel Engineering.
|
|
||||||
(185K installs)
|
|
||||||
|
|
||||||
To install it:
|
|
||||||
npx skills add vercel-labs/agent-skills@react-best-practices
|
|
||||||
|
|
||||||
Learn more: https://skills.sh/vercel-labs/agent-skills/react-best-practices
|
|
||||||
```
|
|
||||||
|
|
||||||
### Step 6: Offer to Install
|
|
||||||
|
|
||||||
If the user wants to proceed, you can install the skill for them:
|
|
||||||
|
|
||||||
```bash
|
|
||||||
npx skills add <owner/repo@skill> -g -y
|
|
||||||
```
|
|
||||||
|
|
||||||
The `-g` flag installs globally (user-level) and `-y` skips confirmation prompts.
|
|
||||||
|
|
||||||
## Common Skill Categories
|
|
||||||
|
|
||||||
When searching, consider these common categories:
|
|
||||||
|
|
||||||
| Category | Example Queries |
|
|
||||||
| --------------- | ---------------------------------------- |
|
|
||||||
| Web Development | react, nextjs, typescript, css, tailwind |
|
|
||||||
| Testing | testing, jest, playwright, e2e |
|
|
||||||
| DevOps | deploy, docker, kubernetes, ci-cd |
|
|
||||||
| Documentation | docs, readme, changelog, api-docs |
|
|
||||||
| Code Quality | review, lint, refactor, best-practices |
|
|
||||||
| Design | ui, ux, design-system, accessibility |
|
|
||||||
| Productivity | workflow, automation, git |
|
|
||||||
|
|
||||||
## Tips for Effective Searches
|
|
||||||
|
|
||||||
1. **Use specific keywords**: "react testing" is better than just "testing"
|
|
||||||
2. **Try alternative terms**: If "deploy" doesn't work, try "deployment" or "ci-cd"
|
|
||||||
3. **Check popular sources**: Many skills come from `vercel-labs/agent-skills` or `ComposioHQ/awesome-claude-skills`
|
|
||||||
|
|
||||||
## When No Skills Are Found
|
|
||||||
|
|
||||||
If no relevant skills exist:
|
|
||||||
|
|
||||||
1. Acknowledge that no existing skill was found
|
|
||||||
2. Offer to help with the task directly using your general capabilities
|
|
||||||
3. Suggest the user could create their own skill with `npx skills init`
|
|
||||||
|
|
||||||
Example:
|
|
||||||
|
|
||||||
```
|
|
||||||
I searched for skills related to "xyz" but didn't find any matches.
|
|
||||||
I can still help you with this task directly! Would you like me to proceed?
|
|
||||||
|
|
||||||
If this is something you do often, you could create your own skill:
|
|
||||||
npx skills init my-xyz-skill
|
|
||||||
```
|
|
||||||
@@ -1,10 +0,0 @@
|
|||||||
{
|
|
||||||
"version": 1,
|
|
||||||
"sourceDefaults": {
|
|
||||||
"{\"source\":\"auto\",\"scope\":\"user\",\"origin\":\"top-level\",\"baseDir\":\"/home/alex/.pi/agent\"}": false
|
|
||||||
},
|
|
||||||
"skillOverrides": {
|
|
||||||
"{\"commandName\":\"skill:caveman\",\"path\":\"/home/alex/.pi/agent/skills/caveman/SKILL.md\",\"source\":\"auto\",\"scope\":\"user\",\"origin\":\"top-level\",\"baseDir\":\"/home/alex/.pi/agent\"}": true,
|
|
||||||
"{\"commandName\":\"skill:writing-skills\",\"path\":\"/home/alex/.pi/agent/skills/superpowers/writing-skills/SKILL.md\",\"source\":\"auto\",\"scope\":\"user\",\"origin\":\"top-level\",\"baseDir\":\"/home/alex/.pi/agent\"}": true
|
|
||||||
}
|
|
||||||
}
|
|
||||||
File diff suppressed because one or more lines are too long
@@ -1,16 +0,0 @@
|
|||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":131,"output":253,"cacheRead":2816,"cacheWrite":0,"totalTokens":3200,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"ls","args":{"path":".","limit":500}}
|
|
||||||
{"type":"tool_result","toolName":"ls","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":561,"output":684,"cacheRead":2816,"cacheWrite":0,"totalTokens":4061,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"animate/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":3191,"output":22,"cacheRead":2816,"cacheWrite":0,"totalTokens":6029,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"delight/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":5708,"output":22,"cacheRead":2816,"cacheWrite":0,"totalTokens":8546,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"polish/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":7405,"output":2635,"cacheRead":3200,"cacheWrite":0,"totalTokens":13240,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"frontend-design/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"Skills: caveman, frontend-design, animate, delight\nOrder: frontend-design (run context protocol; fallback: teach-impeccable if no context) -> animate -> delight — caveman loaded concurrently\nWhy: frontend-design is mandatory to capture brand/personality & quality bar; animate implements subtle hover/micro-interactions; delight adds restrained personality; caveman ensures concise communication.","model":"gpt-5-mini","stopReason":"stop","rawStopReason":"stop","usage":{"input":11774,"output":783,"cacheRead":3712,"cacheWrite":0,"totalTokens":16269,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
@@ -1,26 +0,0 @@
|
|||||||
{
|
|
||||||
"mode": "parallel",
|
|
||||||
"taskIndex": 0,
|
|
||||||
"agent": "scout",
|
|
||||||
"agentSource": "builtin",
|
|
||||||
"task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Use any relevant skills in this directory that match the task. User request: \"Make this dashboard feel more alive with subtle hover states and a bit more personality, but don't go overboard.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
|
|
||||||
"cwd": "/home/alex/.pi/agent/skills/frontend",
|
|
||||||
"requestedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"resolvedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"systemPrompt": "You are a scout. Explore quickly, summarize clearly, and avoid implementation.",
|
|
||||||
"tools": [
|
|
||||||
"read",
|
|
||||||
"grep",
|
|
||||||
"find",
|
|
||||||
"ls",
|
|
||||||
"bash"
|
|
||||||
],
|
|
||||||
"runId": "153500cd-f870-419b-82bc-c0ee07f05bda",
|
|
||||||
"sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/153500cd-f870-419b-82bc-c0ee07f05bda/child-session.jsonl",
|
|
||||||
"eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/153500cd-f870-419b-82bc-c0ee07f05bda/events.jsonl",
|
|
||||||
"resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/153500cd-f870-419b-82bc-c0ee07f05bda/result.json",
|
|
||||||
"stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/153500cd-f870-419b-82bc-c0ee07f05bda/stdout.log",
|
|
||||||
"stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/153500cd-f870-419b-82bc-c0ee07f05bda/stderr.log",
|
|
||||||
"transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/153500cd-f870-419b-82bc-c0ee07f05bda/transcript.log",
|
|
||||||
"systemPromptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/153500cd-f870-419b-82bc-c0ee07f05bda/system-prompt.md"
|
|
||||||
}
|
|
||||||
@@ -1,37 +0,0 @@
|
|||||||
{
|
|
||||||
"runId": "153500cd-f870-419b-82bc-c0ee07f05bda",
|
|
||||||
"mode": "parallel",
|
|
||||||
"taskIndex": 0,
|
|
||||||
"agent": "scout",
|
|
||||||
"agentSource": "builtin",
|
|
||||||
"task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Use any relevant skills in this directory that match the task. User request: \"Make this dashboard feel more alive with subtle hover states and a bit more personality, but don't go overboard.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
|
|
||||||
"cwd": "/home/alex/.pi/agent/skills/frontend",
|
|
||||||
"requestedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"resolvedModel": "gpt-5-mini",
|
|
||||||
"sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/153500cd-f870-419b-82bc-c0ee07f05bda/child-session.jsonl",
|
|
||||||
"startedAt": "2026-04-11T21:09:12.195Z",
|
|
||||||
"finishedAt": "2026-04-11T21:10:58.080Z",
|
|
||||||
"exitCode": 0,
|
|
||||||
"stopReason": "stop",
|
|
||||||
"rawStopReason": "stop",
|
|
||||||
"finalText": "Skills: caveman, frontend-design, animate, delight\nOrder: frontend-design (run context protocol; fallback: teach-impeccable if no context) -> animate -> delight — caveman loaded concurrently\nWhy: frontend-design is mandatory to capture brand/personality & quality bar; animate implements subtle hover/micro-interactions; delight adds restrained personality; caveman ensures concise communication.",
|
|
||||||
"usage": {
|
|
||||||
"input": 11774,
|
|
||||||
"output": 783,
|
|
||||||
"cacheRead": 3712,
|
|
||||||
"cacheWrite": 0,
|
|
||||||
"totalTokens": 16269,
|
|
||||||
"cost": {
|
|
||||||
"input": 0,
|
|
||||||
"output": 0,
|
|
||||||
"cacheRead": 0,
|
|
||||||
"cacheWrite": 0,
|
|
||||||
"total": 0
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/153500cd-f870-419b-82bc-c0ee07f05bda/stdout.log",
|
|
||||||
"stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/153500cd-f870-419b-82bc-c0ee07f05bda/stderr.log",
|
|
||||||
"resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/153500cd-f870-419b-82bc-c0ee07f05bda/result.json",
|
|
||||||
"eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/153500cd-f870-419b-82bc-c0ee07f05bda/events.jsonl",
|
|
||||||
"transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/153500cd-f870-419b-82bc-c0ee07f05bda/transcript.log"
|
|
||||||
}
|
|
||||||
File diff suppressed because one or more lines are too long
@@ -1 +0,0 @@
|
|||||||
You are a scout. Explore quickly, summarize clearly, and avoid implementation.
|
|
||||||
@@ -1,26 +0,0 @@
|
|||||||
=== subagent ===
|
|
||||||
Agent: scout
|
|
||||||
Task: IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Use any relevant skills in this directory that match the task. User request: "Make this dashboard feel more alive with subtle hover states and a bit more personality, but don't go overboard." Return exactly three lines: Skills: ...\nOrder: ...\nWhy: ...
|
|
||||||
CWD: /home/alex/.pi/agent/skills/frontend
|
|
||||||
Requested model: github-copilot/gpt-5-mini
|
|
||||||
Resolved model: github-copilot/gpt-5-mini
|
|
||||||
Session: /home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/153500cd-f870-419b-82bc-c0ee07f05bda/child-session.jsonl
|
|
||||||
---------------------
|
|
||||||
(no assistant text)
|
|
||||||
→ ls {"path":".","limit":500}
|
|
||||||
✓ ls done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"animate/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"delight/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"polish/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"frontend-design/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
Skills: caveman, frontend-design, animate, delight
|
|
||||||
Order: frontend-design (run context protocol; fallback: teach-impeccable if no context) -> animate -> delight — caveman loaded concurrently
|
|
||||||
Why: frontend-design is mandatory to capture brand/personality & quality bar; animate implements subtle hover/micro-interactions; delight adds restrained personality; caveman ensures concise communication.
|
|
||||||
File diff suppressed because one or more lines are too long
@@ -1,4 +0,0 @@
|
|||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":776,"output":282,"cacheRead":2176,"cacheWrite":0,"totalTokens":3234,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"find","args":{"pattern":"**/SKILL.md","path":""}}
|
|
||||||
{"type":"tool_result","toolName":"find","isError":false}
|
|
||||||
{"type":"assistant_text","text":"Skills: caveman, extract, frontend-design, audit, normalize\nOrder: caveman -> audit -> extract -> frontend-design -> normalize\nWhy: Audit finds token drift & repeated patterns; Extract centralizes reusable card pieces; Frontend-design realigns tokens with the design system; Normalize enforces consistent usage across code.","model":"gpt-5-mini","stopReason":"stop","rawStopReason":"stop","usage":{"input":743,"output":1566,"cacheRead":2816,"cacheWrite":0,"totalTokens":5125,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
@@ -1,26 +0,0 @@
|
|||||||
{
|
|
||||||
"mode": "parallel",
|
|
||||||
"taskIndex": 3,
|
|
||||||
"agent": "scout",
|
|
||||||
"agentSource": "builtin",
|
|
||||||
"task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Use any relevant skills in this directory that match the task. User request: \"Our cards repeat the same pattern everywhere and the tokens drifted from the design system. Extract reusable pieces and bring things back into alignment.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
|
|
||||||
"cwd": "/home/alex/.pi/agent/skills/frontend",
|
|
||||||
"requestedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"resolvedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"systemPrompt": "You are a scout. Explore quickly, summarize clearly, and avoid implementation.",
|
|
||||||
"tools": [
|
|
||||||
"read",
|
|
||||||
"grep",
|
|
||||||
"find",
|
|
||||||
"ls",
|
|
||||||
"bash"
|
|
||||||
],
|
|
||||||
"runId": "157966fa-d9a8-4c70-b1bb-64c13960f646",
|
|
||||||
"sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/157966fa-d9a8-4c70-b1bb-64c13960f646/child-session.jsonl",
|
|
||||||
"eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/157966fa-d9a8-4c70-b1bb-64c13960f646/events.jsonl",
|
|
||||||
"resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/157966fa-d9a8-4c70-b1bb-64c13960f646/result.json",
|
|
||||||
"stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/157966fa-d9a8-4c70-b1bb-64c13960f646/stdout.log",
|
|
||||||
"stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/157966fa-d9a8-4c70-b1bb-64c13960f646/stderr.log",
|
|
||||||
"transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/157966fa-d9a8-4c70-b1bb-64c13960f646/transcript.log",
|
|
||||||
"systemPromptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/157966fa-d9a8-4c70-b1bb-64c13960f646/system-prompt.md"
|
|
||||||
}
|
|
||||||
@@ -1,37 +0,0 @@
|
|||||||
{
|
|
||||||
"runId": "157966fa-d9a8-4c70-b1bb-64c13960f646",
|
|
||||||
"mode": "parallel",
|
|
||||||
"taskIndex": 3,
|
|
||||||
"agent": "scout",
|
|
||||||
"agentSource": "builtin",
|
|
||||||
"task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Use any relevant skills in this directory that match the task. User request: \"Our cards repeat the same pattern everywhere and the tokens drifted from the design system. Extract reusable pieces and bring things back into alignment.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
|
|
||||||
"cwd": "/home/alex/.pi/agent/skills/frontend",
|
|
||||||
"requestedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"resolvedModel": "gpt-5-mini",
|
|
||||||
"sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/157966fa-d9a8-4c70-b1bb-64c13960f646/child-session.jsonl",
|
|
||||||
"startedAt": "2026-04-11T21:01:20.975Z",
|
|
||||||
"finishedAt": "2026-04-11T21:02:03.363Z",
|
|
||||||
"exitCode": 0,
|
|
||||||
"stopReason": "stop",
|
|
||||||
"rawStopReason": "stop",
|
|
||||||
"finalText": "Skills: caveman, extract, frontend-design, audit, normalize\nOrder: caveman -> audit -> extract -> frontend-design -> normalize\nWhy: Audit finds token drift & repeated patterns; Extract centralizes reusable card pieces; Frontend-design realigns tokens with the design system; Normalize enforces consistent usage across code.",
|
|
||||||
"usage": {
|
|
||||||
"input": 743,
|
|
||||||
"output": 1566,
|
|
||||||
"cacheRead": 2816,
|
|
||||||
"cacheWrite": 0,
|
|
||||||
"totalTokens": 5125,
|
|
||||||
"cost": {
|
|
||||||
"input": 0,
|
|
||||||
"output": 0,
|
|
||||||
"cacheRead": 0,
|
|
||||||
"cacheWrite": 0,
|
|
||||||
"total": 0
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/157966fa-d9a8-4c70-b1bb-64c13960f646/stdout.log",
|
|
||||||
"stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/157966fa-d9a8-4c70-b1bb-64c13960f646/stderr.log",
|
|
||||||
"resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/157966fa-d9a8-4c70-b1bb-64c13960f646/result.json",
|
|
||||||
"eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/157966fa-d9a8-4c70-b1bb-64c13960f646/events.jsonl",
|
|
||||||
"transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/157966fa-d9a8-4c70-b1bb-64c13960f646/transcript.log"
|
|
||||||
}
|
|
||||||
File diff suppressed because one or more lines are too long
@@ -1 +0,0 @@
|
|||||||
You are a scout. Explore quickly, summarize clearly, and avoid implementation.
|
|
||||||
@@ -1,14 +0,0 @@
|
|||||||
=== subagent ===
|
|
||||||
Agent: scout
|
|
||||||
Task: IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Use any relevant skills in this directory that match the task. User request: "Our cards repeat the same pattern everywhere and the tokens drifted from the design system. Extract reusable pieces and bring things back into alignment." Return exactly three lines: Skills: ...\nOrder: ...\nWhy: ...
|
|
||||||
CWD: /home/alex/.pi/agent/skills/frontend
|
|
||||||
Requested model: github-copilot/gpt-5-mini
|
|
||||||
Resolved model: github-copilot/gpt-5-mini
|
|
||||||
Session: /home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/157966fa-d9a8-4c70-b1bb-64c13960f646/child-session.jsonl
|
|
||||||
---------------------
|
|
||||||
(no assistant text)
|
|
||||||
→ find {"pattern":"**/SKILL.md","path":""}
|
|
||||||
✓ find done
|
|
||||||
Skills: caveman, extract, frontend-design, audit, normalize
|
|
||||||
Order: caveman -> audit -> extract -> frontend-design -> normalize
|
|
||||||
Why: Audit finds token drift & repeated patterns; Extract centralizes reusable card pieces; Frontend-design realigns tokens with the design system; Normalize enforces consistent usage across code.
|
|
||||||
File diff suppressed because one or more lines are too long
@@ -1,11 +0,0 @@
|
|||||||
{"type":"assistant_text","text":"","model":"gpt-4o","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":79,"output":17,"cacheRead":2176,"cacheWrite":0,"totalTokens":2272,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"bash","args":{"command":"ls -1"}}
|
|
||||||
{"type":"tool_result","toolName":"bash","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-4o","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":163,"output":70,"cacheRead":2176,"cacheWrite":0,"totalTokens":2409,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"audit/SKILL.md"}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"critique/SKILL.md"}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"optimize/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"Skills: audit, critique, optimize \nOrder: critique → audit → optimize \nWhy: Critique finds design-UX issues for checkout flow experience; audit ensures accessibility standards, flags key gaps; optimize improves detected performance bottlenecks.","model":"gpt-4o","stopReason":"stop","rawStopReason":"stop","usage":{"input":8291,"output":49,"cacheRead":2048,"cacheWrite":0,"totalTokens":10388,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
@@ -1,19 +0,0 @@
|
|||||||
{
|
|
||||||
"mode": "parallel",
|
|
||||||
"taskIndex": 0,
|
|
||||||
"agent": "worker",
|
|
||||||
"agentSource": "builtin",
|
|
||||||
"task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Inspect the skill folders if needed. User request: \"Please review this checkout flow for UX problems, but also flag accessibility and performance issues before we ship.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
|
|
||||||
"cwd": "/home/alex/.pi/agent/skills/frontend",
|
|
||||||
"requestedModel": "github-copilot/gpt-4o",
|
|
||||||
"resolvedModel": "github-copilot/gpt-4o",
|
|
||||||
"systemPrompt": "You are a worker. Execute the delegated task completely and report final results clearly.",
|
|
||||||
"runId": "292392b5-1e22-4a41-bea7-cbdf91cadbf3",
|
|
||||||
"sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/292392b5-1e22-4a41-bea7-cbdf91cadbf3/child-session.jsonl",
|
|
||||||
"eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/292392b5-1e22-4a41-bea7-cbdf91cadbf3/events.jsonl",
|
|
||||||
"resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/292392b5-1e22-4a41-bea7-cbdf91cadbf3/result.json",
|
|
||||||
"stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/292392b5-1e22-4a41-bea7-cbdf91cadbf3/stdout.log",
|
|
||||||
"stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/292392b5-1e22-4a41-bea7-cbdf91cadbf3/stderr.log",
|
|
||||||
"transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/292392b5-1e22-4a41-bea7-cbdf91cadbf3/transcript.log",
|
|
||||||
"systemPromptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/292392b5-1e22-4a41-bea7-cbdf91cadbf3/system-prompt.md"
|
|
||||||
}
|
|
||||||
@@ -1,37 +0,0 @@
|
|||||||
{
|
|
||||||
"runId": "292392b5-1e22-4a41-bea7-cbdf91cadbf3",
|
|
||||||
"mode": "parallel",
|
|
||||||
"taskIndex": 0,
|
|
||||||
"agent": "worker",
|
|
||||||
"agentSource": "builtin",
|
|
||||||
"task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Inspect the skill folders if needed. User request: \"Please review this checkout flow for UX problems, but also flag accessibility and performance issues before we ship.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
|
|
||||||
"cwd": "/home/alex/.pi/agent/skills/frontend",
|
|
||||||
"requestedModel": "github-copilot/gpt-4o",
|
|
||||||
"resolvedModel": "gpt-4o",
|
|
||||||
"sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/292392b5-1e22-4a41-bea7-cbdf91cadbf3/child-session.jsonl",
|
|
||||||
"startedAt": "2026-04-11T20:59:38.874Z",
|
|
||||||
"finishedAt": "2026-04-11T20:59:45.292Z",
|
|
||||||
"exitCode": 0,
|
|
||||||
"stopReason": "stop",
|
|
||||||
"rawStopReason": "stop",
|
|
||||||
"finalText": "Skills: audit, critique, optimize \nOrder: critique → audit → optimize \nWhy: Critique finds design-UX issues for checkout flow experience; audit ensures accessibility standards, flags key gaps; optimize improves detected performance bottlenecks.",
|
|
||||||
"usage": {
|
|
||||||
"input": 8291,
|
|
||||||
"output": 49,
|
|
||||||
"cacheRead": 2048,
|
|
||||||
"cacheWrite": 0,
|
|
||||||
"totalTokens": 10388,
|
|
||||||
"cost": {
|
|
||||||
"input": 0,
|
|
||||||
"output": 0,
|
|
||||||
"cacheRead": 0,
|
|
||||||
"cacheWrite": 0,
|
|
||||||
"total": 0
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/292392b5-1e22-4a41-bea7-cbdf91cadbf3/stdout.log",
|
|
||||||
"stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/292392b5-1e22-4a41-bea7-cbdf91cadbf3/stderr.log",
|
|
||||||
"resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/292392b5-1e22-4a41-bea7-cbdf91cadbf3/result.json",
|
|
||||||
"eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/292392b5-1e22-4a41-bea7-cbdf91cadbf3/events.jsonl",
|
|
||||||
"transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/292392b5-1e22-4a41-bea7-cbdf91cadbf3/transcript.log"
|
|
||||||
}
|
|
||||||
File diff suppressed because one or more lines are too long
@@ -1 +0,0 @@
|
|||||||
You are a worker. Execute the delegated task completely and report final results clearly.
|
|
||||||
@@ -1,21 +0,0 @@
|
|||||||
=== subagent ===
|
|
||||||
Agent: worker
|
|
||||||
Task: IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Inspect the skill folders if needed. User request: "Please review this checkout flow for UX problems, but also flag accessibility and performance issues before we ship." Return exactly three lines: Skills: ...\nOrder: ...\nWhy: ...
|
|
||||||
CWD: /home/alex/.pi/agent/skills/frontend
|
|
||||||
Requested model: github-copilot/gpt-4o
|
|
||||||
Resolved model: github-copilot/gpt-4o
|
|
||||||
Session: /home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/292392b5-1e22-4a41-bea7-cbdf91cadbf3/child-session.jsonl
|
|
||||||
---------------------
|
|
||||||
(no assistant text)
|
|
||||||
$ ls -1
|
|
||||||
✓ bash done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"audit/SKILL.md"}
|
|
||||||
→ read {"path":"critique/SKILL.md"}
|
|
||||||
→ read {"path":"optimize/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
✓ read done
|
|
||||||
✓ read done
|
|
||||||
Skills: audit, critique, optimize
|
|
||||||
Order: critique → audit → optimize
|
|
||||||
Why: Critique finds design-UX issues for checkout flow experience; audit ensures accessibility standards, flags key gaps; optimize improves detected performance bottlenecks.
|
|
||||||
File diff suppressed because one or more lines are too long
@@ -1,13 +0,0 @@
|
|||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":103,"output":422,"cacheRead":2560,"cacheWrite":0,"totalTokens":3085,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"ls","args":{"path":"/home/alex/.pi/agent/skills/frontend"}}
|
|
||||||
{"type":"tool_result","toolName":"ls","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":3156,"output":280,"cacheRead":0,"cacheWrite":0,"totalTokens":3436,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"/home/alex/.pi/agent/skills/frontend/critique/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":6619,"output":514,"cacheRead":0,"cacheWrite":0,"totalTokens":7133,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"/home/alex/.pi/agent/skills/frontend/audit/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":6864,"output":1510,"cacheRead":2560,"cacheWrite":0,"totalTokens":10934,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"/home/alex/.pi/agent/skills/frontend/teach-impeccable/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"Skills: caveman, frontend-design, critique, audit\nOrder: caveman → frontend-design → critique → audit\nWhy: caveman ensures ultra-concise output; frontend-design runs the Context Gathering Protocol and anti-pattern checks (mandatory); critique targets UX problems in the checkout flow; audit surfaces accessibility, performance, theming, and responsive implementation issues.","model":"gpt-5-mini","stopReason":"stop","rawStopReason":"stop","usage":{"input":8962,"output":751,"cacheRead":2560,"cacheWrite":0,"totalTokens":12273,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
@@ -1,26 +0,0 @@
|
|||||||
{
|
|
||||||
"mode": "parallel",
|
|
||||||
"taskIndex": 0,
|
|
||||||
"agent": "scout",
|
|
||||||
"agentSource": "builtin",
|
|
||||||
"task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Inspect the skill folders if needed. User request: \"Please review this checkout flow for UX problems, but also flag accessibility and performance issues before we ship.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
|
|
||||||
"cwd": "/home/alex/.pi/agent/skills/frontend",
|
|
||||||
"requestedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"resolvedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"systemPrompt": "You are a scout. Explore quickly, summarize clearly, and avoid implementation.",
|
|
||||||
"tools": [
|
|
||||||
"read",
|
|
||||||
"grep",
|
|
||||||
"find",
|
|
||||||
"ls",
|
|
||||||
"bash"
|
|
||||||
],
|
|
||||||
"runId": "2d643c69-3116-408e-a8df-57cef8d5a83b",
|
|
||||||
"sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/2d643c69-3116-408e-a8df-57cef8d5a83b/child-session.jsonl",
|
|
||||||
"eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/2d643c69-3116-408e-a8df-57cef8d5a83b/events.jsonl",
|
|
||||||
"resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/2d643c69-3116-408e-a8df-57cef8d5a83b/result.json",
|
|
||||||
"stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/2d643c69-3116-408e-a8df-57cef8d5a83b/stdout.log",
|
|
||||||
"stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/2d643c69-3116-408e-a8df-57cef8d5a83b/stderr.log",
|
|
||||||
"transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/2d643c69-3116-408e-a8df-57cef8d5a83b/transcript.log",
|
|
||||||
"systemPromptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/2d643c69-3116-408e-a8df-57cef8d5a83b/system-prompt.md"
|
|
||||||
}
|
|
||||||
@@ -1,37 +0,0 @@
|
|||||||
{
|
|
||||||
"runId": "2d643c69-3116-408e-a8df-57cef8d5a83b",
|
|
||||||
"mode": "parallel",
|
|
||||||
"taskIndex": 0,
|
|
||||||
"agent": "scout",
|
|
||||||
"agentSource": "builtin",
|
|
||||||
"task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Inspect the skill folders if needed. User request: \"Please review this checkout flow for UX problems, but also flag accessibility and performance issues before we ship.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
|
|
||||||
"cwd": "/home/alex/.pi/agent/skills/frontend",
|
|
||||||
"requestedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"resolvedModel": "gpt-5-mini",
|
|
||||||
"sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/2d643c69-3116-408e-a8df-57cef8d5a83b/child-session.jsonl",
|
|
||||||
"startedAt": "2026-04-11T20:56:08.756Z",
|
|
||||||
"finishedAt": "2026-04-11T20:57:40.048Z",
|
|
||||||
"exitCode": 0,
|
|
||||||
"stopReason": "stop",
|
|
||||||
"rawStopReason": "stop",
|
|
||||||
"finalText": "Skills: caveman, frontend-design, critique, audit\nOrder: caveman → frontend-design → critique → audit\nWhy: caveman ensures ultra-concise output; frontend-design runs the Context Gathering Protocol and anti-pattern checks (mandatory); critique targets UX problems in the checkout flow; audit surfaces accessibility, performance, theming, and responsive implementation issues.",
|
|
||||||
"usage": {
|
|
||||||
"input": 8962,
|
|
||||||
"output": 751,
|
|
||||||
"cacheRead": 2560,
|
|
||||||
"cacheWrite": 0,
|
|
||||||
"totalTokens": 12273,
|
|
||||||
"cost": {
|
|
||||||
"input": 0,
|
|
||||||
"output": 0,
|
|
||||||
"cacheRead": 0,
|
|
||||||
"cacheWrite": 0,
|
|
||||||
"total": 0
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/2d643c69-3116-408e-a8df-57cef8d5a83b/stdout.log",
|
|
||||||
"stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/2d643c69-3116-408e-a8df-57cef8d5a83b/stderr.log",
|
|
||||||
"resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/2d643c69-3116-408e-a8df-57cef8d5a83b/result.json",
|
|
||||||
"eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/2d643c69-3116-408e-a8df-57cef8d5a83b/events.jsonl",
|
|
||||||
"transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/2d643c69-3116-408e-a8df-57cef8d5a83b/transcript.log"
|
|
||||||
}
|
|
||||||
File diff suppressed because one or more lines are too long
@@ -1 +0,0 @@
|
|||||||
You are a scout. Explore quickly, summarize clearly, and avoid implementation.
|
|
||||||
@@ -1,23 +0,0 @@
|
|||||||
=== subagent ===
|
|
||||||
Agent: scout
|
|
||||||
Task: IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Inspect the skill folders if needed. User request: "Please review this checkout flow for UX problems, but also flag accessibility and performance issues before we ship." Return exactly three lines: Skills: ...\nOrder: ...\nWhy: ...
|
|
||||||
CWD: /home/alex/.pi/agent/skills/frontend
|
|
||||||
Requested model: github-copilot/gpt-5-mini
|
|
||||||
Resolved model: github-copilot/gpt-5-mini
|
|
||||||
Session: /home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/2d643c69-3116-408e-a8df-57cef8d5a83b/child-session.jsonl
|
|
||||||
---------------------
|
|
||||||
(no assistant text)
|
|
||||||
→ ls {"path":"/home/alex/.pi/agent/skills/frontend"}
|
|
||||||
✓ ls done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"/home/alex/.pi/agent/skills/frontend/critique/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"/home/alex/.pi/agent/skills/frontend/audit/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"/home/alex/.pi/agent/skills/frontend/teach-impeccable/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
Skills: caveman, frontend-design, critique, audit
|
|
||||||
Order: caveman → frontend-design → critique → audit
|
|
||||||
Why: caveman ensures ultra-concise output; frontend-design runs the Context Gathering Protocol and anti-pattern checks (mandatory); critique targets UX problems in the checkout flow; audit surfaces accessibility, performance, theming, and responsive implementation issues.
|
|
||||||
File diff suppressed because one or more lines are too long
@@ -1,19 +0,0 @@
|
|||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":129,"output":168,"cacheRead":2816,"cacheWrite":0,"totalTokens":3113,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"find","args":{"pattern":"**/SKILL.md","path":"/home/alex/.pi/agent/skills/frontend","limit":100}}
|
|
||||||
{"type":"tool_result","toolName":"find","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":622,"output":271,"cacheRead":2816,"cacheWrite":0,"totalTokens":3709,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"audit/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":3232,"output":130,"cacheRead":2816,"cacheWrite":0,"totalTokens":6178,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"frontend-design/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":5805,"output":417,"cacheRead":2816,"cacheWrite":0,"totalTokens":9038,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"critique/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":8697,"output":1660,"cacheRead":2816,"cacheWrite":0,"totalTokens":13173,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"teach-impeccable/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":10823,"output":542,"cacheRead":2944,"cacheWrite":0,"totalTokens":14309,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"find","args":{"pattern":".impeccable.md","path":"/home/alex","limit":20}}
|
|
||||||
{"type":"tool_result","toolName":"find","isError":false}
|
|
||||||
{"type":"assistant_text","text":"Skills: caveman, frontend-design, teach-impeccable, critique, audit\nOrder: caveman → frontend-design (run teach-impeccable if no Design Context) → critique → audit\nWhy: caveman for terse reporting; frontend-design+teach-impeccable to capture context and avoid AI-slop; critique for UX checkout review; audit for accessibility + performance diagnostics.","model":"gpt-5-mini","stopReason":"stop","rawStopReason":"stop","usage":{"input":11505,"output":1041,"cacheRead":2816,"cacheWrite":0,"totalTokens":15362,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
@@ -1,26 +0,0 @@
|
|||||||
{
|
|
||||||
"mode": "parallel",
|
|
||||||
"taskIndex": 0,
|
|
||||||
"agent": "scout",
|
|
||||||
"agentSource": "builtin",
|
|
||||||
"task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Use any relevant skills in this directory that match the task. User request: \"Please review this checkout flow for UX problems, but also flag accessibility and performance issues before we ship.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
|
|
||||||
"cwd": "/home/alex/.pi/agent/skills/frontend",
|
|
||||||
"requestedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"resolvedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"systemPrompt": "You are a scout. Explore quickly, summarize clearly, and avoid implementation.",
|
|
||||||
"tools": [
|
|
||||||
"read",
|
|
||||||
"grep",
|
|
||||||
"find",
|
|
||||||
"ls",
|
|
||||||
"bash"
|
|
||||||
],
|
|
||||||
"runId": "3c358047-6c0a-4f70-958c-fffa366e91a2",
|
|
||||||
"sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/3c358047-6c0a-4f70-958c-fffa366e91a2/child-session.jsonl",
|
|
||||||
"eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/3c358047-6c0a-4f70-958c-fffa366e91a2/events.jsonl",
|
|
||||||
"resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/3c358047-6c0a-4f70-958c-fffa366e91a2/result.json",
|
|
||||||
"stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/3c358047-6c0a-4f70-958c-fffa366e91a2/stdout.log",
|
|
||||||
"stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/3c358047-6c0a-4f70-958c-fffa366e91a2/stderr.log",
|
|
||||||
"transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/3c358047-6c0a-4f70-958c-fffa366e91a2/transcript.log",
|
|
||||||
"systemPromptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/3c358047-6c0a-4f70-958c-fffa366e91a2/system-prompt.md"
|
|
||||||
}
|
|
||||||
@@ -1,37 +0,0 @@
|
|||||||
{
|
|
||||||
"runId": "3c358047-6c0a-4f70-958c-fffa366e91a2",
|
|
||||||
"mode": "parallel",
|
|
||||||
"taskIndex": 0,
|
|
||||||
"agent": "scout",
|
|
||||||
"agentSource": "builtin",
|
|
||||||
"task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Use any relevant skills in this directory that match the task. User request: \"Please review this checkout flow for UX problems, but also flag accessibility and performance issues before we ship.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
|
|
||||||
"cwd": "/home/alex/.pi/agent/skills/frontend",
|
|
||||||
"requestedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"resolvedModel": "gpt-5-mini",
|
|
||||||
"sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/3c358047-6c0a-4f70-958c-fffa366e91a2/child-session.jsonl",
|
|
||||||
"startedAt": "2026-04-11T21:04:22.307Z",
|
|
||||||
"finishedAt": "2026-04-11T21:06:21.070Z",
|
|
||||||
"exitCode": 0,
|
|
||||||
"stopReason": "stop",
|
|
||||||
"rawStopReason": "stop",
|
|
||||||
"finalText": "Skills: caveman, frontend-design, teach-impeccable, critique, audit\nOrder: caveman → frontend-design (run teach-impeccable if no Design Context) → critique → audit\nWhy: caveman for terse reporting; frontend-design+teach-impeccable to capture context and avoid AI-slop; critique for UX checkout review; audit for accessibility + performance diagnostics.",
|
|
||||||
"usage": {
|
|
||||||
"input": 11505,
|
|
||||||
"output": 1041,
|
|
||||||
"cacheRead": 2816,
|
|
||||||
"cacheWrite": 0,
|
|
||||||
"totalTokens": 15362,
|
|
||||||
"cost": {
|
|
||||||
"input": 0,
|
|
||||||
"output": 0,
|
|
||||||
"cacheRead": 0,
|
|
||||||
"cacheWrite": 0,
|
|
||||||
"total": 0
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/3c358047-6c0a-4f70-958c-fffa366e91a2/stdout.log",
|
|
||||||
"stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/3c358047-6c0a-4f70-958c-fffa366e91a2/stderr.log",
|
|
||||||
"resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/3c358047-6c0a-4f70-958c-fffa366e91a2/result.json",
|
|
||||||
"eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/3c358047-6c0a-4f70-958c-fffa366e91a2/events.jsonl",
|
|
||||||
"transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/3c358047-6c0a-4f70-958c-fffa366e91a2/transcript.log"
|
|
||||||
}
|
|
||||||
File diff suppressed because one or more lines are too long
@@ -1 +0,0 @@
|
|||||||
You are a scout. Explore quickly, summarize clearly, and avoid implementation.
|
|
||||||
@@ -1,29 +0,0 @@
|
|||||||
=== subagent ===
|
|
||||||
Agent: scout
|
|
||||||
Task: IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Use any relevant skills in this directory that match the task. User request: "Please review this checkout flow for UX problems, but also flag accessibility and performance issues before we ship." Return exactly three lines: Skills: ...\nOrder: ...\nWhy: ...
|
|
||||||
CWD: /home/alex/.pi/agent/skills/frontend
|
|
||||||
Requested model: github-copilot/gpt-5-mini
|
|
||||||
Resolved model: github-copilot/gpt-5-mini
|
|
||||||
Session: /home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/3c358047-6c0a-4f70-958c-fffa366e91a2/child-session.jsonl
|
|
||||||
---------------------
|
|
||||||
(no assistant text)
|
|
||||||
→ find {"pattern":"**/SKILL.md","path":"/home/alex/.pi/agent/skills/frontend","limit":100}
|
|
||||||
✓ find done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"audit/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"frontend-design/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"critique/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"teach-impeccable/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ find {"pattern":".impeccable.md","path":"/home/alex","limit":20}
|
|
||||||
✓ find done
|
|
||||||
Skills: caveman, frontend-design, teach-impeccable, critique, audit
|
|
||||||
Order: caveman → frontend-design (run teach-impeccable if no Design Context) → critique → audit
|
|
||||||
Why: caveman for terse reporting; frontend-design+teach-impeccable to capture context and avoid AI-slop; critique for UX checkout review; audit for accessibility + performance diagnostics.
|
|
||||||
File diff suppressed because one or more lines are too long
@@ -1,28 +0,0 @@
|
|||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":2664,"output":140,"cacheRead":0,"cacheWrite":0,"totalTokens":2804,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"ls","args":{"path":".","limit":500}}
|
|
||||||
{"type":"tool_result","toolName":"ls","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":394,"output":763,"cacheRead":2560,"cacheWrite":0,"totalTokens":3717,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"onboard/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":3207,"output":229,"cacheRead":2560,"cacheWrite":0,"totalTokens":5996,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"frontend-design/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":5294,"output":76,"cacheRead":3456,"cacheWrite":0,"totalTokens":8826,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"../.impeccable.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":true}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":156,"output":254,"cacheRead":8704,"cacheWrite":0,"totalTokens":9114,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"find","args":{"pattern":".impeccable.md","path":"..","limit":100}}
|
|
||||||
{"type":"tool_result","toolName":"find","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":6566,"output":336,"cacheRead":2560,"cacheWrite":0,"totalTokens":9462,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"ls","args":{"path":"..","limit":200}}
|
|
||||||
{"type":"tool_result","toolName":"ls","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":6931,"output":58,"cacheRead":2560,"cacheWrite":0,"totalTokens":9549,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"ls","args":{"path":"../..","limit":200}}
|
|
||||||
{"type":"tool_result","toolName":"ls","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":9587,"output":366,"cacheRead":0,"cacheWrite":0,"totalTokens":9953,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"delight/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":9527,"output":173,"cacheRead":2560,"cacheWrite":0,"totalTokens":12260,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"polish/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"Skills: caveman, frontend-design, onboard, delight\nOrder: caveman -> frontend-design -> onboard -> delight\nWhy: frontend-design enforces the Context Gathering Protocol and prevents AI‑slop; onboard designs the first-run flow to reach the \"aha\" moment; delight adds tasteful micro‑interactions and polished moments that elevate without distracting.","model":"gpt-5-mini","stopReason":"stop","rawStopReason":"stop","usage":{"input":11557,"output":4148,"cacheRead":2560,"cacheWrite":0,"totalTokens":18265,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
@@ -1,26 +0,0 @@
|
|||||||
{
|
|
||||||
"mode": "parallel",
|
|
||||||
"taskIndex": 1,
|
|
||||||
"agent": "scout",
|
|
||||||
"agentSource": "builtin",
|
|
||||||
"task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Inspect the skill folders if needed. User request: \"Build a distinctive onboarding experience for first-time users. It should feel polished and not like generic AI UI.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
|
|
||||||
"cwd": "/home/alex/.pi/agent/skills/frontend",
|
|
||||||
"requestedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"resolvedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"systemPrompt": "You are a scout. Explore quickly, summarize clearly, and avoid implementation.",
|
|
||||||
"tools": [
|
|
||||||
"read",
|
|
||||||
"grep",
|
|
||||||
"find",
|
|
||||||
"ls",
|
|
||||||
"bash"
|
|
||||||
],
|
|
||||||
"runId": "46b91b10-9cd3-4387-91fd-ace42ad654db",
|
|
||||||
"sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/46b91b10-9cd3-4387-91fd-ace42ad654db/child-session.jsonl",
|
|
||||||
"eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/46b91b10-9cd3-4387-91fd-ace42ad654db/events.jsonl",
|
|
||||||
"resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/46b91b10-9cd3-4387-91fd-ace42ad654db/result.json",
|
|
||||||
"stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/46b91b10-9cd3-4387-91fd-ace42ad654db/stdout.log",
|
|
||||||
"stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/46b91b10-9cd3-4387-91fd-ace42ad654db/stderr.log",
|
|
||||||
"transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/46b91b10-9cd3-4387-91fd-ace42ad654db/transcript.log",
|
|
||||||
"systemPromptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/46b91b10-9cd3-4387-91fd-ace42ad654db/system-prompt.md"
|
|
||||||
}
|
|
||||||
@@ -1,37 +0,0 @@
|
|||||||
{
|
|
||||||
"runId": "46b91b10-9cd3-4387-91fd-ace42ad654db",
|
|
||||||
"mode": "parallel",
|
|
||||||
"taskIndex": 1,
|
|
||||||
"agent": "scout",
|
|
||||||
"agentSource": "builtin",
|
|
||||||
"task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Inspect the skill folders if needed. User request: \"Build a distinctive onboarding experience for first-time users. It should feel polished and not like generic AI UI.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
|
|
||||||
"cwd": "/home/alex/.pi/agent/skills/frontend",
|
|
||||||
"requestedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"resolvedModel": "gpt-5-mini",
|
|
||||||
"sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/46b91b10-9cd3-4387-91fd-ace42ad654db/child-session.jsonl",
|
|
||||||
"startedAt": "2026-04-11T20:56:08.742Z",
|
|
||||||
"finishedAt": "2026-04-11T20:59:02.430Z",
|
|
||||||
"exitCode": 0,
|
|
||||||
"stopReason": "stop",
|
|
||||||
"rawStopReason": "stop",
|
|
||||||
"finalText": "Skills: caveman, frontend-design, onboard, delight\nOrder: caveman -> frontend-design -> onboard -> delight\nWhy: frontend-design enforces the Context Gathering Protocol and prevents AI‑slop; onboard designs the first-run flow to reach the \"aha\" moment; delight adds tasteful micro‑interactions and polished moments that elevate without distracting.",
|
|
||||||
"usage": {
|
|
||||||
"input": 11557,
|
|
||||||
"output": 4148,
|
|
||||||
"cacheRead": 2560,
|
|
||||||
"cacheWrite": 0,
|
|
||||||
"totalTokens": 18265,
|
|
||||||
"cost": {
|
|
||||||
"input": 0,
|
|
||||||
"output": 0,
|
|
||||||
"cacheRead": 0,
|
|
||||||
"cacheWrite": 0,
|
|
||||||
"total": 0
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/46b91b10-9cd3-4387-91fd-ace42ad654db/stdout.log",
|
|
||||||
"stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/46b91b10-9cd3-4387-91fd-ace42ad654db/stderr.log",
|
|
||||||
"resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/46b91b10-9cd3-4387-91fd-ace42ad654db/result.json",
|
|
||||||
"eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/46b91b10-9cd3-4387-91fd-ace42ad654db/events.jsonl",
|
|
||||||
"transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/46b91b10-9cd3-4387-91fd-ace42ad654db/transcript.log"
|
|
||||||
}
|
|
||||||
File diff suppressed because one or more lines are too long
@@ -1 +0,0 @@
|
|||||||
You are a scout. Explore quickly, summarize clearly, and avoid implementation.
|
|
||||||
@@ -1,38 +0,0 @@
|
|||||||
=== subagent ===
|
|
||||||
Agent: scout
|
|
||||||
Task: IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Inspect the skill folders if needed. User request: "Build a distinctive onboarding experience for first-time users. It should feel polished and not like generic AI UI." Return exactly three lines: Skills: ...\nOrder: ...\nWhy: ...
|
|
||||||
CWD: /home/alex/.pi/agent/skills/frontend
|
|
||||||
Requested model: github-copilot/gpt-5-mini
|
|
||||||
Resolved model: github-copilot/gpt-5-mini
|
|
||||||
Session: /home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/46b91b10-9cd3-4387-91fd-ace42ad654db/child-session.jsonl
|
|
||||||
---------------------
|
|
||||||
(no assistant text)
|
|
||||||
→ ls {"path":".","limit":500}
|
|
||||||
✓ ls done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"onboard/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"frontend-design/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"../.impeccable.md"}
|
|
||||||
✗ read failed
|
|
||||||
(no assistant text)
|
|
||||||
→ find {"pattern":".impeccable.md","path":"..","limit":100}
|
|
||||||
✓ find done
|
|
||||||
(no assistant text)
|
|
||||||
→ ls {"path":"..","limit":200}
|
|
||||||
✓ ls done
|
|
||||||
(no assistant text)
|
|
||||||
→ ls {"path":"../..","limit":200}
|
|
||||||
✓ ls done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"delight/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"polish/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
Skills: caveman, frontend-design, onboard, delight
|
|
||||||
Order: caveman -> frontend-design -> onboard -> delight
|
|
||||||
Why: frontend-design enforces the Context Gathering Protocol and prevents AI‑slop; onboard designs the first-run flow to reach the "aha" moment; delight adds tasteful micro‑interactions and polished moments that elevate without distracting.
|
|
||||||
File diff suppressed because one or more lines are too long
@@ -1,4 +0,0 @@
|
|||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":769,"output":215,"cacheRead":2176,"cacheWrite":0,"totalTokens":3160,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"ls","args":{"path":".","limit":500}}
|
|
||||||
{"type":"tool_result","toolName":"ls","isError":false}
|
|
||||||
{"type":"assistant_text","text":"Skills: caveman, critique, audit\nOrder: caveman -> critique -> audit\nWhy: caveman enforces concise output; critique targets UX/checkout flow friction and heuristics; audit surfaces accessibility and performance issues to fix before ship.","model":"gpt-5-mini","stopReason":"stop","rawStopReason":"stop","usage":{"input":440,"output":1893,"cacheRead":2816,"cacheWrite":0,"totalTokens":5149,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
@@ -1,26 +0,0 @@
|
|||||||
{
|
|
||||||
"mode": "parallel",
|
|
||||||
"taskIndex": 0,
|
|
||||||
"agent": "scout",
|
|
||||||
"agentSource": "builtin",
|
|
||||||
"task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Use any relevant skills in this directory that match the task. User request: \"Please review this checkout flow for UX problems, but also flag accessibility and performance issues before we ship.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
|
|
||||||
"cwd": "/home/alex/.pi/agent/skills/frontend",
|
|
||||||
"requestedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"resolvedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"systemPrompt": "You are a scout. Explore quickly, summarize clearly, and avoid implementation.",
|
|
||||||
"tools": [
|
|
||||||
"read",
|
|
||||||
"grep",
|
|
||||||
"find",
|
|
||||||
"ls",
|
|
||||||
"bash"
|
|
||||||
],
|
|
||||||
"runId": "494f50f6-a7de-4cf2-85b1-df1735f78473",
|
|
||||||
"sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/494f50f6-a7de-4cf2-85b1-df1735f78473/child-session.jsonl",
|
|
||||||
"eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/494f50f6-a7de-4cf2-85b1-df1735f78473/events.jsonl",
|
|
||||||
"resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/494f50f6-a7de-4cf2-85b1-df1735f78473/result.json",
|
|
||||||
"stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/494f50f6-a7de-4cf2-85b1-df1735f78473/stdout.log",
|
|
||||||
"stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/494f50f6-a7de-4cf2-85b1-df1735f78473/stderr.log",
|
|
||||||
"transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/494f50f6-a7de-4cf2-85b1-df1735f78473/transcript.log",
|
|
||||||
"systemPromptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/494f50f6-a7de-4cf2-85b1-df1735f78473/system-prompt.md"
|
|
||||||
}
|
|
||||||
@@ -1,37 +0,0 @@
|
|||||||
{
|
|
||||||
"runId": "494f50f6-a7de-4cf2-85b1-df1735f78473",
|
|
||||||
"mode": "parallel",
|
|
||||||
"taskIndex": 0,
|
|
||||||
"agent": "scout",
|
|
||||||
"agentSource": "builtin",
|
|
||||||
"task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Use any relevant skills in this directory that match the task. User request: \"Please review this checkout flow for UX problems, but also flag accessibility and performance issues before we ship.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
|
|
||||||
"cwd": "/home/alex/.pi/agent/skills/frontend",
|
|
||||||
"requestedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"resolvedModel": "gpt-5-mini",
|
|
||||||
"sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/494f50f6-a7de-4cf2-85b1-df1735f78473/child-session.jsonl",
|
|
||||||
"startedAt": "2026-04-11T21:01:20.966Z",
|
|
||||||
"finishedAt": "2026-04-11T21:02:07.529Z",
|
|
||||||
"exitCode": 0,
|
|
||||||
"stopReason": "stop",
|
|
||||||
"rawStopReason": "stop",
|
|
||||||
"finalText": "Skills: caveman, critique, audit\nOrder: caveman -> critique -> audit\nWhy: caveman enforces concise output; critique targets UX/checkout flow friction and heuristics; audit surfaces accessibility and performance issues to fix before ship.",
|
|
||||||
"usage": {
|
|
||||||
"input": 440,
|
|
||||||
"output": 1893,
|
|
||||||
"cacheRead": 2816,
|
|
||||||
"cacheWrite": 0,
|
|
||||||
"totalTokens": 5149,
|
|
||||||
"cost": {
|
|
||||||
"input": 0,
|
|
||||||
"output": 0,
|
|
||||||
"cacheRead": 0,
|
|
||||||
"cacheWrite": 0,
|
|
||||||
"total": 0
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/494f50f6-a7de-4cf2-85b1-df1735f78473/stdout.log",
|
|
||||||
"stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/494f50f6-a7de-4cf2-85b1-df1735f78473/stderr.log",
|
|
||||||
"resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/494f50f6-a7de-4cf2-85b1-df1735f78473/result.json",
|
|
||||||
"eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/494f50f6-a7de-4cf2-85b1-df1735f78473/events.jsonl",
|
|
||||||
"transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/494f50f6-a7de-4cf2-85b1-df1735f78473/transcript.log"
|
|
||||||
}
|
|
||||||
File diff suppressed because one or more lines are too long
@@ -1 +0,0 @@
|
|||||||
You are a scout. Explore quickly, summarize clearly, and avoid implementation.
|
|
||||||
@@ -1,14 +0,0 @@
|
|||||||
=== subagent ===
|
|
||||||
Agent: scout
|
|
||||||
Task: IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Use any relevant skills in this directory that match the task. User request: "Please review this checkout flow for UX problems, but also flag accessibility and performance issues before we ship." Return exactly three lines: Skills: ...\nOrder: ...\nWhy: ...
|
|
||||||
CWD: /home/alex/.pi/agent/skills/frontend
|
|
||||||
Requested model: github-copilot/gpt-5-mini
|
|
||||||
Resolved model: github-copilot/gpt-5-mini
|
|
||||||
Session: /home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/494f50f6-a7de-4cf2-85b1-df1735f78473/child-session.jsonl
|
|
||||||
---------------------
|
|
||||||
(no assistant text)
|
|
||||||
→ ls {"path":".","limit":500}
|
|
||||||
✓ ls done
|
|
||||||
Skills: caveman, critique, audit
|
|
||||||
Order: caveman -> critique -> audit
|
|
||||||
Why: caveman enforces concise output; critique targets UX/checkout flow friction and heuristics; audit surfaces accessibility and performance issues to fix before ship.
|
|
||||||
File diff suppressed because one or more lines are too long
@@ -1,11 +0,0 @@
|
|||||||
{"type":"assistant_text","text":"","model":"gpt-4o","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":2256,"output":26,"cacheRead":0,"cacheWrite":0,"totalTokens":2282,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"bash","args":{"command":"ls /home/alex/.pi/agent/skills/frontend"}}
|
|
||||||
{"type":"tool_result","toolName":"bash","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-4o","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":380,"output":105,"cacheRead":2048,"cacheWrite":0,"totalTokens":2533,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"/home/alex/.pi/agent/skills/frontend/onboard/SKILL.md"}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"/home/alex/.pi/agent/skills/frontend/polish/SKILL.md"}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"/home/alex/.pi/agent/skills/frontend/delight/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"Skills: onboard, delight, polish \nOrder: onboard -> delight -> polish \nWhy: Onboard defines the structure with first-run optimization. Delight layers personality and memorable moments. Polish ensures usability/refinement to flagship quality.","model":"gpt-4o","stopReason":"stop","rawStopReason":"stop","usage":{"input":7633,"output":46,"cacheRead":2048,"cacheWrite":0,"totalTokens":9727,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
@@ -1,19 +0,0 @@
|
|||||||
{
|
|
||||||
"mode": "parallel",
|
|
||||||
"taskIndex": 1,
|
|
||||||
"agent": "worker",
|
|
||||||
"agentSource": "builtin",
|
|
||||||
"task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Inspect the skill folders if needed. User request: \"Build a distinctive onboarding experience for first-time users. It should feel polished and not like generic AI UI.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
|
|
||||||
"cwd": "/home/alex/.pi/agent/skills/frontend",
|
|
||||||
"requestedModel": "github-copilot/gpt-4o",
|
|
||||||
"resolvedModel": "github-copilot/gpt-4o",
|
|
||||||
"systemPrompt": "You are a worker. Execute the delegated task completely and report final results clearly.",
|
|
||||||
"runId": "61e6fee3-3887-4539-ba53-9370fa5b2d5a",
|
|
||||||
"sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/61e6fee3-3887-4539-ba53-9370fa5b2d5a/child-session.jsonl",
|
|
||||||
"eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/61e6fee3-3887-4539-ba53-9370fa5b2d5a/events.jsonl",
|
|
||||||
"resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/61e6fee3-3887-4539-ba53-9370fa5b2d5a/result.json",
|
|
||||||
"stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/61e6fee3-3887-4539-ba53-9370fa5b2d5a/stdout.log",
|
|
||||||
"stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/61e6fee3-3887-4539-ba53-9370fa5b2d5a/stderr.log",
|
|
||||||
"transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/61e6fee3-3887-4539-ba53-9370fa5b2d5a/transcript.log",
|
|
||||||
"systemPromptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/61e6fee3-3887-4539-ba53-9370fa5b2d5a/system-prompt.md"
|
|
||||||
}
|
|
||||||
@@ -1,37 +0,0 @@
|
|||||||
{
|
|
||||||
"runId": "61e6fee3-3887-4539-ba53-9370fa5b2d5a",
|
|
||||||
"mode": "parallel",
|
|
||||||
"taskIndex": 1,
|
|
||||||
"agent": "worker",
|
|
||||||
"agentSource": "builtin",
|
|
||||||
"task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Inspect the skill folders if needed. User request: \"Build a distinctive onboarding experience for first-time users. It should feel polished and not like generic AI UI.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
|
|
||||||
"cwd": "/home/alex/.pi/agent/skills/frontend",
|
|
||||||
"requestedModel": "github-copilot/gpt-4o",
|
|
||||||
"resolvedModel": "gpt-4o",
|
|
||||||
"sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/61e6fee3-3887-4539-ba53-9370fa5b2d5a/child-session.jsonl",
|
|
||||||
"startedAt": "2026-04-11T20:59:38.859Z",
|
|
||||||
"finishedAt": "2026-04-11T20:59:45.444Z",
|
|
||||||
"exitCode": 0,
|
|
||||||
"stopReason": "stop",
|
|
||||||
"rawStopReason": "stop",
|
|
||||||
"finalText": "Skills: onboard, delight, polish \nOrder: onboard -> delight -> polish \nWhy: Onboard defines the structure with first-run optimization. Delight layers personality and memorable moments. Polish ensures usability/refinement to flagship quality.",
|
|
||||||
"usage": {
|
|
||||||
"input": 7633,
|
|
||||||
"output": 46,
|
|
||||||
"cacheRead": 2048,
|
|
||||||
"cacheWrite": 0,
|
|
||||||
"totalTokens": 9727,
|
|
||||||
"cost": {
|
|
||||||
"input": 0,
|
|
||||||
"output": 0,
|
|
||||||
"cacheRead": 0,
|
|
||||||
"cacheWrite": 0,
|
|
||||||
"total": 0
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/61e6fee3-3887-4539-ba53-9370fa5b2d5a/stdout.log",
|
|
||||||
"stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/61e6fee3-3887-4539-ba53-9370fa5b2d5a/stderr.log",
|
|
||||||
"resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/61e6fee3-3887-4539-ba53-9370fa5b2d5a/result.json",
|
|
||||||
"eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/61e6fee3-3887-4539-ba53-9370fa5b2d5a/events.jsonl",
|
|
||||||
"transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/61e6fee3-3887-4539-ba53-9370fa5b2d5a/transcript.log"
|
|
||||||
}
|
|
||||||
File diff suppressed because one or more lines are too long
@@ -1 +0,0 @@
|
|||||||
You are a worker. Execute the delegated task completely and report final results clearly.
|
|
||||||
@@ -1,21 +0,0 @@
|
|||||||
=== subagent ===
|
|
||||||
Agent: worker
|
|
||||||
Task: IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Inspect the skill folders if needed. User request: "Build a distinctive onboarding experience for first-time users. It should feel polished and not like generic AI UI." Return exactly three lines: Skills: ...\nOrder: ...\nWhy: ...
|
|
||||||
CWD: /home/alex/.pi/agent/skills/frontend
|
|
||||||
Requested model: github-copilot/gpt-4o
|
|
||||||
Resolved model: github-copilot/gpt-4o
|
|
||||||
Session: /home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/61e6fee3-3887-4539-ba53-9370fa5b2d5a/child-session.jsonl
|
|
||||||
---------------------
|
|
||||||
(no assistant text)
|
|
||||||
$ ls /home/alex/.pi/agent/skills/frontend
|
|
||||||
✓ bash done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"/home/alex/.pi/agent/skills/frontend/onboard/SKILL.md"}
|
|
||||||
→ read {"path":"/home/alex/.pi/agent/skills/frontend/polish/SKILL.md"}
|
|
||||||
→ read {"path":"/home/alex/.pi/agent/skills/frontend/delight/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
✓ read done
|
|
||||||
✓ read done
|
|
||||||
Skills: onboard, delight, polish
|
|
||||||
Order: onboard -> delight -> polish
|
|
||||||
Why: Onboard defines the structure with first-run optimization. Delight layers personality and memorable moments. Polish ensures usability/refinement to flagship quality.
|
|
||||||
File diff suppressed because one or more lines are too long
@@ -1,19 +0,0 @@
|
|||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":776,"output":193,"cacheRead":2176,"cacheWrite":0,"totalTokens":3145,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"find","args":{"pattern":"**/SKILL.md","path":"/home/alex/.pi/agent/skills/frontend","limit":1000}}
|
|
||||||
{"type":"tool_result","toolName":"find","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":1294,"output":624,"cacheRead":2176,"cacheWrite":0,"totalTokens":4094,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"extract/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":2113,"output":21,"cacheRead":2816,"cacheWrite":0,"totalTokens":4950,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"normalize/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":3080,"output":21,"cacheRead":2816,"cacheWrite":0,"totalTokens":5917,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"audit/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":5431,"output":60,"cacheRead":2816,"cacheWrite":0,"totalTokens":8307,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"frontend-design/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":6856,"output":169,"cacheRead":3712,"cacheWrite":0,"totalTokens":10737,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"ls","args":{"path":".","limit":500}}
|
|
||||||
{"type":"tool_result","toolName":"ls","isError":false}
|
|
||||||
{"type":"assistant_text","text":"Skills: frontend-design, extract, normalize\nOrder: frontend-design -> extract -> normalize\nWhy: frontend-design first to gather context (and run /teach-impeccable if missing); extract to consolidate the repeated card pattern into shared components and canonical tokens; normalize to replace hard-coded values, migrate usages, and realign the UI with the design system.","model":"gpt-5-mini","stopReason":"stop","rawStopReason":"stop","usage":{"input":7101,"output":2806,"cacheRead":3712,"cacheWrite":0,"totalTokens":13619,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
@@ -1,26 +0,0 @@
|
|||||||
{
|
|
||||||
"mode": "parallel",
|
|
||||||
"taskIndex": 1,
|
|
||||||
"agent": "scout",
|
|
||||||
"agentSource": "builtin",
|
|
||||||
"task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Use any relevant skills in this directory that match the task. User request: \"Our cards repeat the same pattern everywhere and the tokens drifted from the design system. Extract reusable pieces and bring things back into alignment.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
|
|
||||||
"cwd": "/home/alex/.pi/agent/skills/frontend",
|
|
||||||
"requestedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"resolvedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"systemPrompt": "You are a scout. Explore quickly, summarize clearly, and avoid implementation.",
|
|
||||||
"tools": [
|
|
||||||
"read",
|
|
||||||
"grep",
|
|
||||||
"find",
|
|
||||||
"ls",
|
|
||||||
"bash"
|
|
||||||
],
|
|
||||||
"runId": "76fc24cd-2d30-4bdd-b9d4-b20f16421fed",
|
|
||||||
"sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/76fc24cd-2d30-4bdd-b9d4-b20f16421fed/child-session.jsonl",
|
|
||||||
"eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/76fc24cd-2d30-4bdd-b9d4-b20f16421fed/events.jsonl",
|
|
||||||
"resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/76fc24cd-2d30-4bdd-b9d4-b20f16421fed/result.json",
|
|
||||||
"stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/76fc24cd-2d30-4bdd-b9d4-b20f16421fed/stdout.log",
|
|
||||||
"stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/76fc24cd-2d30-4bdd-b9d4-b20f16421fed/stderr.log",
|
|
||||||
"transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/76fc24cd-2d30-4bdd-b9d4-b20f16421fed/transcript.log",
|
|
||||||
"systemPromptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/76fc24cd-2d30-4bdd-b9d4-b20f16421fed/system-prompt.md"
|
|
||||||
}
|
|
||||||
@@ -1,37 +0,0 @@
|
|||||||
{
|
|
||||||
"runId": "76fc24cd-2d30-4bdd-b9d4-b20f16421fed",
|
|
||||||
"mode": "parallel",
|
|
||||||
"taskIndex": 1,
|
|
||||||
"agent": "scout",
|
|
||||||
"agentSource": "builtin",
|
|
||||||
"task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Use any relevant skills in this directory that match the task. User request: \"Our cards repeat the same pattern everywhere and the tokens drifted from the design system. Extract reusable pieces and bring things back into alignment.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
|
|
||||||
"cwd": "/home/alex/.pi/agent/skills/frontend",
|
|
||||||
"requestedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"resolvedModel": "gpt-5-mini",
|
|
||||||
"sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/76fc24cd-2d30-4bdd-b9d4-b20f16421fed/child-session.jsonl",
|
|
||||||
"startedAt": "2026-04-11T21:04:22.316Z",
|
|
||||||
"finishedAt": "2026-04-11T21:06:07.677Z",
|
|
||||||
"exitCode": 0,
|
|
||||||
"stopReason": "stop",
|
|
||||||
"rawStopReason": "stop",
|
|
||||||
"finalText": "Skills: frontend-design, extract, normalize\nOrder: frontend-design -> extract -> normalize\nWhy: frontend-design first to gather context (and run /teach-impeccable if missing); extract to consolidate the repeated card pattern into shared components and canonical tokens; normalize to replace hard-coded values, migrate usages, and realign the UI with the design system.",
|
|
||||||
"usage": {
|
|
||||||
"input": 7101,
|
|
||||||
"output": 2806,
|
|
||||||
"cacheRead": 3712,
|
|
||||||
"cacheWrite": 0,
|
|
||||||
"totalTokens": 13619,
|
|
||||||
"cost": {
|
|
||||||
"input": 0,
|
|
||||||
"output": 0,
|
|
||||||
"cacheRead": 0,
|
|
||||||
"cacheWrite": 0,
|
|
||||||
"total": 0
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/76fc24cd-2d30-4bdd-b9d4-b20f16421fed/stdout.log",
|
|
||||||
"stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/76fc24cd-2d30-4bdd-b9d4-b20f16421fed/stderr.log",
|
|
||||||
"resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/76fc24cd-2d30-4bdd-b9d4-b20f16421fed/result.json",
|
|
||||||
"eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/76fc24cd-2d30-4bdd-b9d4-b20f16421fed/events.jsonl",
|
|
||||||
"transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/76fc24cd-2d30-4bdd-b9d4-b20f16421fed/transcript.log"
|
|
||||||
}
|
|
||||||
File diff suppressed because one or more lines are too long
@@ -1 +0,0 @@
|
|||||||
You are a scout. Explore quickly, summarize clearly, and avoid implementation.
|
|
||||||
@@ -1,29 +0,0 @@
|
|||||||
=== subagent ===
|
|
||||||
Agent: scout
|
|
||||||
Task: IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Use any relevant skills in this directory that match the task. User request: "Our cards repeat the same pattern everywhere and the tokens drifted from the design system. Extract reusable pieces and bring things back into alignment." Return exactly three lines: Skills: ...\nOrder: ...\nWhy: ...
|
|
||||||
CWD: /home/alex/.pi/agent/skills/frontend
|
|
||||||
Requested model: github-copilot/gpt-5-mini
|
|
||||||
Resolved model: github-copilot/gpt-5-mini
|
|
||||||
Session: /home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/76fc24cd-2d30-4bdd-b9d4-b20f16421fed/child-session.jsonl
|
|
||||||
---------------------
|
|
||||||
(no assistant text)
|
|
||||||
→ find {"pattern":"**/SKILL.md","path":"/home/alex/.pi/agent/skills/frontend","limit":1000}
|
|
||||||
✓ find done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"extract/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"normalize/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"audit/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"frontend-design/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ ls {"path":".","limit":500}
|
|
||||||
✓ ls done
|
|
||||||
Skills: frontend-design, extract, normalize
|
|
||||||
Order: frontend-design -> extract -> normalize
|
|
||||||
Why: frontend-design first to gather context (and run /teach-impeccable if missing); extract to consolidate the repeated card pattern into shared components and canonical tokens; normalize to replace hard-coded values, migrate usages, and realign the UI with the design system.
|
|
||||||
File diff suppressed because one or more lines are too long
@@ -1,25 +0,0 @@
|
|||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":2548,"output":222,"cacheRead":0,"cacheWrite":0,"totalTokens":2770,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"bash","args":{"command":"ls -la"}}
|
|
||||||
{"type":"tool_result","toolName":"bash","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":974,"output":35,"cacheRead":2432,"cacheWrite":0,"totalTokens":3441,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":2084,"output":324,"cacheRead":2432,"cacheWrite":0,"totalTokens":4840,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":".impeccable.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":true}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":4931,"output":1765,"cacheRead":0,"cacheWrite":0,"totalTokens":6696,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"teach-impeccable/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":4933,"output":48,"cacheRead":2432,"cacheWrite":0,"totalTokens":7413,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"frontend-design/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":10203,"output":51,"cacheRead":0,"cacheWrite":0,"totalTokens":10254,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"distill/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":11553,"output":22,"cacheRead":0,"cacheWrite":0,"totalTokens":11575,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"arrange/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":10705,"output":22,"cacheRead":2432,"cacheWrite":0,"totalTokens":13159,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"read","args":{"path":"quieter/SKILL.md"}}
|
|
||||||
{"type":"tool_result","toolName":"read","isError":false}
|
|
||||||
{"type":"assistant_text","text":"Skills: caveman, teach-impeccable, frontend-design, distill, arrange, quieter\nOrder: teach-impeccable → frontend-design → distill (primary) → arrange → quieter; caveman always loaded\nWhy: .impeccable.md missing so gather design context first; distill to declutter, arrange to fix spacing/hierarchy, quieter to reduce visual intensity; caveman for concise output","model":"gpt-5-mini","stopReason":"stop","rawStopReason":"stop","usage":{"input":11816,"output":1921,"cacheRead":2432,"cacheWrite":0,"totalTokens":16169,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
@@ -1,19 +0,0 @@
|
|||||||
{
|
|
||||||
"mode": "parallel",
|
|
||||||
"taskIndex": 2,
|
|
||||||
"agent": "worker",
|
|
||||||
"agentSource": "builtin",
|
|
||||||
"task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Use any relevant skills in this directory that match the task. User request: \"This settings page feels too busy and loud. Simplify it, make it calmer, and fix the spacing and hierarchy while you're at it.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
|
|
||||||
"cwd": "/home/alex/.pi/agent/skills/frontend",
|
|
||||||
"requestedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"resolvedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"systemPrompt": "You are a worker. Execute the delegated task completely and report final results clearly.",
|
|
||||||
"runId": "941513ba-7fc0-4576-843d-8fb6286767e9",
|
|
||||||
"sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/941513ba-7fc0-4576-843d-8fb6286767e9/child-session.jsonl",
|
|
||||||
"eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/941513ba-7fc0-4576-843d-8fb6286767e9/events.jsonl",
|
|
||||||
"resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/941513ba-7fc0-4576-843d-8fb6286767e9/result.json",
|
|
||||||
"stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/941513ba-7fc0-4576-843d-8fb6286767e9/stdout.log",
|
|
||||||
"stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/941513ba-7fc0-4576-843d-8fb6286767e9/stderr.log",
|
|
||||||
"transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/941513ba-7fc0-4576-843d-8fb6286767e9/transcript.log",
|
|
||||||
"systemPromptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/941513ba-7fc0-4576-843d-8fb6286767e9/system-prompt.md"
|
|
||||||
}
|
|
||||||
@@ -1,37 +0,0 @@
|
|||||||
{
|
|
||||||
"runId": "941513ba-7fc0-4576-843d-8fb6286767e9",
|
|
||||||
"mode": "parallel",
|
|
||||||
"taskIndex": 2,
|
|
||||||
"agent": "worker",
|
|
||||||
"agentSource": "builtin",
|
|
||||||
"task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Use any relevant skills in this directory that match the task. User request: \"This settings page feels too busy and loud. Simplify it, make it calmer, and fix the spacing and hierarchy while you're at it.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
|
|
||||||
"cwd": "/home/alex/.pi/agent/skills/frontend",
|
|
||||||
"requestedModel": "github-copilot/gpt-5-mini",
|
|
||||||
"resolvedModel": "gpt-5-mini",
|
|
||||||
"sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/941513ba-7fc0-4576-843d-8fb6286767e9/child-session.jsonl",
|
|
||||||
"startedAt": "2026-04-11T21:04:22.316Z",
|
|
||||||
"finishedAt": "2026-04-11T21:06:15.406Z",
|
|
||||||
"exitCode": 0,
|
|
||||||
"stopReason": "stop",
|
|
||||||
"rawStopReason": "stop",
|
|
||||||
"finalText": "Skills: caveman, teach-impeccable, frontend-design, distill, arrange, quieter\nOrder: teach-impeccable → frontend-design → distill (primary) → arrange → quieter; caveman always loaded\nWhy: .impeccable.md missing so gather design context first; distill to declutter, arrange to fix spacing/hierarchy, quieter to reduce visual intensity; caveman for concise output",
|
|
||||||
"usage": {
|
|
||||||
"input": 11816,
|
|
||||||
"output": 1921,
|
|
||||||
"cacheRead": 2432,
|
|
||||||
"cacheWrite": 0,
|
|
||||||
"totalTokens": 16169,
|
|
||||||
"cost": {
|
|
||||||
"input": 0,
|
|
||||||
"output": 0,
|
|
||||||
"cacheRead": 0,
|
|
||||||
"cacheWrite": 0,
|
|
||||||
"total": 0
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/941513ba-7fc0-4576-843d-8fb6286767e9/stdout.log",
|
|
||||||
"stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/941513ba-7fc0-4576-843d-8fb6286767e9/stderr.log",
|
|
||||||
"resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/941513ba-7fc0-4576-843d-8fb6286767e9/result.json",
|
|
||||||
"eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/941513ba-7fc0-4576-843d-8fb6286767e9/events.jsonl",
|
|
||||||
"transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/941513ba-7fc0-4576-843d-8fb6286767e9/transcript.log"
|
|
||||||
}
|
|
||||||
File diff suppressed because one or more lines are too long
@@ -1 +0,0 @@
|
|||||||
You are a worker. Execute the delegated task completely and report final results clearly.
|
|
||||||
@@ -1,35 +0,0 @@
|
|||||||
=== subagent ===
|
|
||||||
Agent: worker
|
|
||||||
Task: IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Use any relevant skills in this directory that match the task. User request: "This settings page feels too busy and loud. Simplify it, make it calmer, and fix the spacing and hierarchy while you're at it." Return exactly three lines: Skills: ...\nOrder: ...\nWhy: ...
|
|
||||||
CWD: /home/alex/.pi/agent/skills/frontend
|
|
||||||
Requested model: github-copilot/gpt-5-mini
|
|
||||||
Resolved model: github-copilot/gpt-5-mini
|
|
||||||
Session: /home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/941513ba-7fc0-4576-843d-8fb6286767e9/child-session.jsonl
|
|
||||||
---------------------
|
|
||||||
(no assistant text)
|
|
||||||
$ ls -la
|
|
||||||
✓ bash done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":".impeccable.md"}
|
|
||||||
✗ read failed
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"teach-impeccable/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"frontend-design/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"distill/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"arrange/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
(no assistant text)
|
|
||||||
→ read {"path":"quieter/SKILL.md"}
|
|
||||||
✓ read done
|
|
||||||
Skills: caveman, teach-impeccable, frontend-design, distill, arrange, quieter
|
|
||||||
Order: teach-impeccable → frontend-design → distill (primary) → arrange → quieter; caveman always loaded
|
|
||||||
Why: .impeccable.md missing so gather design context first; distill to declutter, arrange to fix spacing/hierarchy, quieter to reduce visual intensity; caveman for concise output
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|
||||||
File diff suppressed because one or more lines are too long
@@ -1,4 +0,0 @@
|
|||||||
{"type":"assistant_text","text":"","model":"gpt-5-mini","stopReason":"toolUse","rawStopReason":"toolUse","usage":{"input":2671,"output":294,"cacheRead":0,"cacheWrite":0,"totalTokens":2965,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
{"type":"tool_call","toolName":"ls","args":{"path":"/home/alex/.pi/agent/skills/frontend"}}
|
|
||||||
{"type":"tool_result","toolName":"ls","isError":false}
|
|
||||||
{"type":"assistant_text","text":"Skills: caveman, distill, quieter, arrange\nOrder: caveman → distill → quieter → arrange\nWhy: Distill prunes UI and simplifies options; Quieter mutes visual noise (color/contrast/emphasis); Arrange fixes spacing, grouping and typographic hierarchy; Caveman keeps guidance terse.","model":"gpt-5-mini","stopReason":"stop","rawStopReason":"stop","usage":{"input":2767,"output":2398,"cacheRead":0,"cacheWrite":0,"totalTokens":5165,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}
|
|
||||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user