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

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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.