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alex wiesner
2026-04-11 23:16:38 +01:00
parent 2d64d79206
commit 1f0df3ed0d
191 changed files with 24371 additions and 63 deletions
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{"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}}}

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frontend/.pi/subagents/runs/157966fa-d9a8-4c70-b1bb-64c13960f646/meta.json Normal file
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{
"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"
}

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{
"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": {
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"output": 1566,
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"cacheWrite": 0,
"totalTokens": 5125,
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}
},
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}

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frontend/.pi/subagents/runs/157966fa-d9a8-4c70-b1bb-64c13960f646/system-prompt.md Normal file
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You are a scout. Explore quickly, summarize clearly, and avoid implementation.

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=== 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.