What problem does it solve? After a coding session, it is hard to know why the AI agent struggled, made mistakes, or wasted tool calls. This Skill reviews session logs and turns those observations into concrete improvement proposals for the agent's environment. ## Core Features & Use Cases - Session Analysis: Reads primary sources and session logs for a specified session, defaulting to the current one. - Improvement Categories: Evaluates navigation, automated checks, coding standards, AGENTS.md size, tool economy, no-op instructions, and information access. - Prioritized Output: Presents improvement candidates ordered by severity, following the writing-for-agents style guide. - Use Case: After a long debugging session where the agent repeatedly failed to find a config file, run a retrospective to get a recommendation for adding a navigation pointer to AGENTS.md. ## Quick Start Ask the agent to run a retrospective on the current coding session and suggest environment improvements.