
basicmachines-co/basic-memory-skills
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Skills for AI memory management — reflection, defragmentation, and more
개요
Skills for Basic Memory — teach AI coding agents how to use Basic Memory's MCP tools effectively. Skills are markdown instruction files (SKILL.md) that AI agents load for domain-specific guidance. Each skill contains structured knowledge about when and how to use specific tools, with examples and best practices. Basic Memory provides the MCP server — tools like write_note, search_notes, and build_context for managing a local-first knowledge graph. These skills teach agents how to use those tools well: when to create tasks vs. notes, how to structure observations for searchability, when to run schema validation, and more.
README
원문 README의 일부입니다. 원문 보기.
basic-memory-skills
Skills for Basic Memory — teach AI coding agents how to use Basic Memory’s MCP tools effectively.
What Are Skills?
Skills are markdown instruction files (SKILL.md) that AI agents load for domain-specific guidance. Each skill contains structured knowledge about when and how to use specific tools, with examples and best practices.
Basic Memory provides the MCP server — tools like write_note, search_notes, and build_context for managing a local-first knowledge graph. These skills teach agents how to use those tools well: when to create tasks vs. notes, how to structure observations for searchability, when to run schema validation, and more.
Skills
| Skill | Description | When to use |
|---|---|---|
| memory-tasks | Structured task tracking that survives context compaction. Creates typed Task notes with steps, status, and context. |
Multi-step work (3+ steps), anything that might outlast a context window, or after compaction to resume. |
| memory-schema | Schema lifecycle management — discover unschemaed notes, infer schemas, create/edit definitions, validate, and detect drift. | When structured note types emerge (Task, Person, Meeting, etc.) and you want consistency. |
| memory-reflect | Sleep-time memory reflection. Reviews recent conversations and daily notes, extracts insights, consolidates into long-term memory. Inspired by sleep-time compute. | Schedule via cron (1-2x daily), trigger from heartbeat, or run on demand. |
| memory-notes | How to write well-structured notes — frontmatter, observations with semantic categories, relations with wiki-links, and best practices. | When creating or improving notes, or when you need a reference for the note format. |
| memory-metadata-search | Structured metadata search — query notes by custom frontmatter fields using equality, range, array, and nested filters. | When finding notes by status, priority, confidence, or any custom YAML field. |
| memory-defrag | Memory defragmentation — split bloated files, merge duplicates, remove stale information, restructure the hierarchy. | Run weekly/biweekly via cron, or on demand when memory feels messy. |
| memory-lifecycle | Entity lifecycle management — status transitions through folder-based organization, archiving completed work. Core principle: archive, never delete. | When marking items complete, archiving old entities, or managing folder-based status workflows. |
| memory-ingest | Process unstructured external input into structured entities. Parses meeting transcripts, conversation logs, and pasted documents. | When pasting a transcript, conversation log, or external document that should become structured knowledge. |
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설치
npx skillfish add basicmachines-co/basic-memory-skills