=== 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
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→ ls {"path":"/home/alex/.pi/agent/skills/frontend"}
✓ ls done
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→ read {"path":"/home/alex/.pi/agent/skills/frontend/audit/SKILL.md"}
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→ read {"path":"/home/alex/.pi/agent/skills/frontend/frontend-design/SKILL.md"}
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→ read {"path":"/home/alex/.pi/agent/skills/frontend/teach-impeccable/SKILL.md"}
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→ read {"path":"/home/alex/.pi/agent/skills/frontend/extract/SKILL.md"}
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→ read {"path":"/home/alex/.pi/agent/skills/frontend/normalize/SKILL.md"}
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→ read {"path":"/home/alex/.pi/agent/skills/frontend/colorize/SKILL.md"}
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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.