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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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frontend/.pi/subagents/runs/76fc24cd-2d30-4bdd-b9d4-b20f16421fed/child-session.jsonl Normal file
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frontend/.pi/subagents/runs/76fc24cd-2d30-4bdd-b9d4-b20f16421fed/events.jsonl Normal file
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{"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}}}

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frontend/.pi/subagents/runs/76fc24cd-2d30-4bdd-b9d4-b20f16421fed/meta.json Normal file
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{
"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"
}

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{
"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"
}

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frontend/.pi/subagents/runs/76fc24cd-2d30-4bdd-b9d4-b20f16421fed/system-prompt.md Normal file
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You are a scout. Explore quickly, summarize clearly, and avoid implementation.

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frontend/.pi/subagents/runs/76fc24cd-2d30-4bdd-b9d4-b20f16421fed/transcript.log Normal file
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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/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.