What problem does it solve?
This Skill provides a robust system for persisting learnings, loading previous context, and searching past decisions, ensuring knowledge compounds across sessions.
Core Features & Use Cases
- Searchable Memory: Utilizes SQLite with FTS5 for efficient, full-text searching of observations.
- Progressive Disclosure: Fetches compact search results first, allowing users to retrieve full details only for relevant items, preventing context bloat.
- Structured Learning: Encourages recording discoveries as observations (decisions, bugfixes, patterns, etc.) for future reference.
- Session Handoffs: Facilitates seamless transitions between sessions by documenting completion state, blockers, and next steps.
- Use Case: When starting a new coding task, first search memory for similar past problems or solutions to avoid redundant work. Record any new insights or solutions discovered during the session as observations.
Quick Start
Use the memory_search tool to find past solutions related to 'authentication patterns'.