Repository
yoloshii/ClawMem agent skills
- skill
- 1
- GitHub stars
- 210
GitHub description: “On-device memory layer for AI agents. Claude Code, OpenClaw and Hermes. Hooks + MCP server + hybrid RAG search.”
- Stars
- 210 (38 forks)
- Licence
- MIT
- Last push
- Oct 2026
- Created
- Feb 2026
- ai-agent-memory
- ai-agents
- bun
- claude-code
- embeddings
- hybrid-search
- llama-cpp
- local-first
- mcp-server
- mcp-tools
- model-context-protocol
- rag
- retrieval-augmented-generation
- sqlite
- typescript
- vector-search
Install all skills
npx skills add yoloshii/ClawMemAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in yoloshii/ClawMem, ranked
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | 1.Clawmem ClawMem operational reference for agents at query time — the 3-rule escalation gate, MCP tool routing, the 4 query-optimization levers, pipeline behavior (query vs intentsearch), composite scoring… | yoloshii/ | 210 | — | ~7.5k | Automated safety check: Pass | MIT | 4 days ago |
Questions, answered from the data.
What is the best skill in yoloshii/ClawMem?
Clawmem from yoloshii/ClawMem ranks first of the 1 skills in yoloshii/ClawMem listed here, with the highest score: its repository has 210 GitHub stars, its SKILL.md loads about 7.5k tokens and it passes the automated safety check with no findings.
Are the skills in yoloshii/ClawMem official?
None yet. All 1 skills in yoloshii/ClawMem listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from yoloshii/ClawMem?
Run npx skills add yoloshii/ClawMem in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.