{ "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" }