What problem does it solve? Teams repeat the same mistakes because insights from past work are never captured in a structured, reusable form. This Skill turns analyzed work context into specific, actionable lessons that prevent future errors. ## Core Features & Use Cases - Lesson Extraction: Identifies mistake patterns, correction moments, and surprises from context analysis output and converts them into structured lessons with Insight, Trigger, and Context fields. - Deduplication: Uses ca search to check for duplicate lessons before storing new ones. - Parallel Extraction: Spawns opus subagents to extract lessons from different domain areas in parallel when many corrections exist. - Use Case: After a debugging session where a misconfigured permission caused repeated failures, run this Skill to capture the lesson "verify permission scopes before deployment" with its trigger conditions, then share it with pattern-matcher and solution-writer agents for classification and storage. ## Quick Start Ask the agent to extract actionable lessons from the current work context analysis and share them with the pattern-matcher and solution-writer teammates.