What problem does it solve? In long-running projects, past decisions get revisited repeatedly, contradict each other, or are silently overturned, causing circular discussions. This Skill audits the validity of past decisions by reading primary resources and chronological logs, then pins the resulting knowledge to the right place so the same debate never repeats. ## Core Features & Use Cases - Trigger-based activation: Fires on self-detected signals (e.g., a third policy change under the same tag, a bug seen twice, a previously rejected proposal resurfacing) or user phrases like "didn't we already decide this?" - Seven-step audit process: Documents the trigger, fixes scope to one subject, fetches decisions and supersedes chains, reads related logs chronologically, maps the evolution of the issue, and analyzes structural causes of context gaps. - Knowledge pinning matrix: Routes findings to the correct destination (tag notes, habits, anchors, materials, or decision revision proposals) with clear rules for autonomous execution versus user approval. - Use Case: When you notice the same design topic being debated for the third time, the audit reconstructs the full decision timeline, identifies why the judgment drifted, and records an audit material with a completion marker to prevent duplicate audits within 24 hours. ## Quick Start Tell the AI "this feels like something we decided before — audit the past decisions on this topic" and it will reconstruct the decision history and propose where to pin the corrective knowledge.