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{"type":"tool_call","toolName":"read","args":{"path":"/home/alex/.pi/agent/skills/frontend/audit/SKILL.md"}}
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{"type":"tool_call","toolName":"read","args":{"path":"/home/alex/.pi/agent/skills/frontend/frontend-design/SKILL.md"}}
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{"type":"tool_call","toolName":"read","args":{"path":"/home/alex/.pi/agent/skills/frontend/teach-impeccable/SKILL.md"}}
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{"type":"tool_call","toolName":"read","args":{"path":"/home/alex/.pi/agent/skills/frontend/extract/SKILL.md"}}
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{"type":"tool_result","toolName":"read","isError":false}
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{"type":"tool_call","toolName":"read","args":{"path":"/home/alex/.pi/agent/skills/frontend/normalize/SKILL.md"}}
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{"type":"tool_result","toolName":"read","isError":false}
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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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