wrap

What problem does it solve?

This Skill automates the crucial end-of-session review process, ensuring that learnings, corrections, and new facts are systematically captured and integrated into the AI's knowledge base and operational rules.

Core Features & Use Cases

• Self-Correction: Identifies and logs mistakes, failed approaches, and areas where user input was repeated or unclear.
• Contextual Learning: Analyzes the session for missing context and successful patterns.
• Memory Management: Routes identified updates to the correct scope (global, project-specific, vault) and formats them for persistence.
• Use Case: After a complex coding session where the AI made a few errors and had to be redirected, running this skill will generate a concise debrief, propose specific rule updates (e.g., "when X, do Y instead of Z"), and extract key facts to update the AI's memory for future sessions.

Quick Start

Run the wrap skill to review the last session and update memory.