Evidence Planning
Structures validation plans to test root-cause hypotheses, diagnostic claims, and intervention decisions with empirical evidence.
The Evidence Planning skill establishes rigorous validation plans when diagnosing complex technical, data, organizational, or process challenges. By explicitly categorizing knowledge into facts, interpretations, hypotheses, and recommendations, this skill prevents premature conclusions based on anecdotes or incomplete data. It guides Claude to identify targeted evidence sources—such as system logs, data lineage, interviews, and before/after metrics—and prioritizing the minimum sufficient evidence required to confirm or disconfirm a decision before committing resources.
主な機能
01Prioritizes minimal viable evidence sets proportionate to risk and operational urgency
02Identifies both confirming and disconfirming evidence to prevent confirmation bias
03Differentiates rigorously between known facts, interpretations, and hypotheses
04Maps optimal evidence sources across logs, metrics, data lineage, and stakeholder interviews
05Generates structured evidence matrices tracking sources, owners, confidence impact, and priority
060 GitHub stars
ユースケース
01Separating assumptions from verifiable facts during organizational and process audits
02Designing empirical proof points before executing high-risk architecture or workflow changes
03Validating root-cause hypotheses during complex system outages or technical incident investigations