Skill comparison
Compare agent skills before installing.
Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.
Comparing 1 skill
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Happy Llm is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Happy Llm
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Happy Llm
Best first install candidate based on install readiness and adoption.
Freshest repo
Happy Llm
Most recent maintenance signal among this shortlist.
| Signal | Happy Llm 📚 从零开始构建大模型 |
|---|---|
| Quality | 100/100 Excellent |
| Decision verdict | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 32K stars 0 installs |
| Freshness | May 6, 2026 |
| Use-case fit | |
| Stack fit | |
| Platform hints | Jupyter Notebook, RAG, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add datawhalechina/happy-llm |