What problem does it solve? Valuable lessons learned during a working session — debugging fixes, data quirks, useful doc links — are usually lost when the session ends. This Skill captures those learnings and folds them back into your team's skill files so institutional knowledge accumulates instead of evaporating. ## Core Features & Use Cases - Session Learning Extraction: Scans the conversation for new error patterns, schema surprises, query techniques, and configuration quirks worth preserving. - Lean, Targeted Updates: Reads each relevant SKILL.md first, avoids duplication, and appends only minimal additions such as a bullet point or a short code snippet. - Approval-Gated Edits: Presents a summary of proposed changes per skill and waits for user approval before modifying any files. - Use Case: After a long session debugging a dlt pipeline pagination issue, run this Skill to add the root cause, the diagnostic MCP tool used, and an essential docs link to the relevant skill so the next session starts smarter. ## Quick Start Ask the agent to review this session and update the relevant skills with anything new we learned.