소개
The Structured Evidence Collection skill transforms informal research into a rigorous, audit-ready data ledger for AI-augmented development. It guides users through the identification of sources, extraction of claims, and documentation of assumptions within a structured YAML framework. By enforcing a validation gate of at least five evidence objects per research pillar and requiring semantic IDs, this skill ensures that complex analysis remains grounded in verifiable facts rather than hallucinations. It is an essential tool for market research, technical feasibility studies, and any high-stakes analytical task where traceability and evidence quality are paramount.
