meta-process-capture-expert-panel-dataset-builder
Document the multi-agent expert panel methodology as a reusable system for building datasets that inform skills and systems. The process — assign framework experts to repositories, ask structured questions, cross-examine, synthesize, map to requirements, validate — produced high-quality sourced findings. Capture this as a repeatable pattern. **Key elements to document**: - Expert assignment protocol (one agent per source repo, source-code-only evidence standard) - Question group design (themed questions → cross-examination → synthesis) - Cross-examination as adversarial validation (experts challenge each other's claims) - Phased output (discussion → requirement mapping → synthesis → validation) - Traceability chain (claim → expert citation → file:line evidence) - Session continuity handling (state file enables cross-session resumption) **Input artifacts**: `plugins/plugin-creator/skills/assessor/references/ARL/ARL-agent-instructions.md`, `qa-expert-panel.md`
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- 2026년 2월 27일 22:16
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