Suggested location: New skill or methodology document — captures the meta-process, not the ARL content
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`
tools-only
Updated Meta-Process Capture — Expert Panel Dataset Builder by tools-only · 27f4479
npx skillmds@latest add tools-only/meta-process-capture-expert-panel-dataset-builder File contents
---name: meta-process-capture-expert-panel-dataset-builderdescription: 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`---**Suggested location**: New skill or methodology document — captures the meta-process, not the ARL content
tools-only/X-Skills/tree/main/research/2665-p1-meta-process-capture-expert-panel-dataset-builder_eceaac36 commit 27f4479141
Frequently asked questions
Run npx skillmds@latest add tools-only/meta-process-capture-expert-panel-dataset-builder in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.
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` It is listed under AI & ML on SkillMD.
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