What problem does it solve?
This Skill prevents AI agents from repeatedly making the same mistakes by capturing corrections, preserving project context across sessions, and measuring whether remembered guidance actually changes future behavior.
Core Features & Use Cases
- Session Continuity: Load relevant project context at the beginning of a session and save summaries, decisions, and insights at the end.
- Correction Tracking: Record behavioral corrections with searchable context, severity, evidence, and outcome metrics.
- Memory Retrieval and Compounding: Search prior journals, insights, and project knowledge, then consolidate recurring lessons into reusable guidance.
- Use Case: When an agent is corrected about an implementation convention, save the correction immediately and surface it in future sessions before related work begins.
Quick Start
Use the AgentRecall skill to load the current project context, recall relevant prior guidance during work, and save a meaningful session summary before finishing.