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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":"Skills: frontend-design, extract, normalize\nOrder: frontend-design → extract → normalize\nWhy: frontend-design gathers design context & brand colors (run teach-impeccable if missing); extract finds/repackages repeated card patterns and token candidates; normalize replaces hard-coded values with tokens, consolidates components, and aligns the UI with the design system.","model":"gpt-5-mini","stopReason":"stop","rawStopReason":"stop","usage":{"input":10392,"output":2136,"cacheRead":2560,"cacheWrite":0,"totalTokens":15088,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}}}

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frontend/.pi/subagents/runs/acf2b1ee-f6c1-4ebd-9fa1-a3e7d700028e/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. Inspect the skill folders if needed. 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.",
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{
"runId": "acf2b1ee-f6c1-4ebd-9fa1-a3e7d700028e",
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"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: \"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",
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"finalText": "Skills: frontend-design, extract, normalize\nOrder: frontend-design → extract → normalize\nWhy: frontend-design gathers design context & brand colors (run teach-impeccable if missing); extract finds/repackages repeated card patterns and token candidates; normalize replaces hard-coded values with tokens, consolidates components, and aligns the UI with the design system.",
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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. Inspect the skill folders if needed. 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/acf2b1ee-f6c1-4ebd-9fa1-a3e7d700028e/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/audit/SKILL.md"}
✓ read done
(no assistant text)
→ read {"path":"/home/alex/.pi/agent/skills/frontend/frontend-design/SKILL.md"}
✓ read done
(no assistant text)
→ read {"path":"/home/alex/.pi/agent/skills/frontend/teach-impeccable/SKILL.md"}
✓ read done
(no assistant text)
→ read {"path":"/home/alex/.pi/agent/skills/frontend/extract/SKILL.md"}
✓ read done
(no assistant text)
→ read {"path":"/home/alex/.pi/agent/skills/frontend/normalize/SKILL.md"}
✓ read done
(no assistant text)
→ read {"path":"/home/alex/.pi/agent/skills/frontend/colorize/SKILL.md"}
✓ read done
Skills: frontend-design, extract, normalize
Order: frontend-design → extract → normalize
Why: frontend-design gathers design context & brand colors (run teach-impeccable if missing); extract finds/repackages repeated card patterns and token candidates; normalize replaces hard-coded values with tokens, consolidates components, and aligns the UI with the design system.