What problem does it solve? Developers using AI coding assistants accumulate learnings and corrections across sessions but have no visibility into whether those patterns are improving, stagnating, or being forgotten. This Skill turns raw session history and project memory into actionable analytics. ## Core Features & Use Cases - Session Summary: Reports duration, files modified, corrections applied, learnings captured, and context usage for the current session. - Learning Analytics: Breaks down learnings by category, ranks most-applied patterns, and flags stale learnings never used. - Correction Heatmap: Visualizes correction counts by category and highlights recurring corrections that should become permanent rules. - Productivity Metrics: Tracks average session length, edits per session, correction rate trends, and learning capture rate over recent sessions. - Use Case: After a week of coding sessions, ask for a stats dashboard to discover that testing-related corrections dominate your history, prompting you to convert a repeated correction into a permanent rule. ## Quick Start Ask the assistant to show my session stats and learning analytics dashboard.
