What problem does it solve? Completed projects, AI collaboration sessions, and hard-won lessons often disappear into chat logs, leaving users unable to understand why decisions were made or apply the principles to new work. This Skill turns finished work into concise, self-contained learning notes that readers can understand without the original conversation. ## Core Features & Use Cases - Structured Learning Output: Produces notes following a fixed contract covering core concepts, why they matter, good and bad examples, common misconceptions, practice exercises, and evidence sources. - Five-Mode Workflow: Moves through capture, explain, connect, practice, and update stages to transform raw work records into teachable material. - Fact vs. Hypothesis Separation: Distinguishes confirmed facts, experiential lessons, and unverified hypotheses so readers know what is validated. - Use Case: After finishing a game design planning session with an AI, convert the key decisions, failures, and tool usage into a study note the user can review later and apply to the next project. ## Quick Start Turn the decisions and mistakes from my last completed work session into a learning note with practice exercises and review questions.
