/memesh-review
Review and optimize the MeMesh memory database. Analyzes health score, finds stale/conflicting/redundant memories, shows work patterns, and suggests cleanup actions. Use when asked to "review memories", "check memory health", "clean up knowledge", or "what's in my memory".
$ npx -y skills add PCIRCLE-AI/memesh-llm-memory --skill memesh-review --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/memesh-review
Context preview
The summary Claude sees to decide when to auto-load this skill.
Review and optimize the MeMesh memory database. Analyzes health score, finds stale/conflicting/redundant memories, shows work patterns, and suggests cleanup actions. Use when asked to "review memories", "check memory health", "clean up knowledge", or "what's in my memory".
The lightest universal AI memory layer. One SQLite file, any LLM, zero cloud. MCP + HTTP + CLI. Smart Recall, Knowledge Evolution, Auto-Capture, Interactive Dashboard.
Repo: PCIRCLE-AI/memesh-llm-memory
Other skills on memesh.
- /agentic-orchestration
Experimental working-model protocol shipped with memesh v4.1. Status — protocol present + instrumented; effectiveness in real usage is being collected (see `memesh patterns`), not yet proven. Suggests a user-as-CTO / Claude-as-orchestrator / background-agents-as-engineers split.
Open skill - /memesh
Use MeMesh to remember, recall, and manage AI knowledge across sessions. Triggers when the user asks to remember something, recall past decisions, forget outdated info, learn from mistakes, or analyze work patterns. Also triggers proactively when you make important decisions,
Open skill