What problem does it solve? Reverse engineering insights from analysis sessions, articles, and personal notes are easily lost; this Skill turns them into sanitized, deduplicated, properly categorized experience entries that persist in the skill library or as public GitHub issues. ## Core Features & Use Cases - Three-source collection: Gathers lessons from session retrospectives, article scraping (Kanxue threads and WeChat articles via bin/wxsource.mjs), and manual user notes. - Distillation and sanitization: Formats each lesson as phenomenon/cause/countermeasure and enforces privacy redaction rules that remove company, product, and project identifiers before storage. - Three-tier disposition: Neutrally asks the user to choose between publishing a GitHub issue (via gh CLI), committing locally to a skill's references/experience.md with npm test validation, or discarding. - Use Case: After a malware analysis session, invoke this Skill to distill the pitfalls encountered, classify them to the right skill domain (e.g., re-malware), deduplicate against existing entries, and archive them locally. ## Quick Start Ask the AI to run a session retrospective and distill this analysis session's lessons into the appropriate skill's experience file.
