Skill comparison
Compare agent skills before installing.
Comparing 4 skills
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
CV
Most recent maintenance signal among this shortlist.
| Signal | CV ✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】 | Haystack Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems. | SurfSense An open source, privacy focused alternative to NotebookLM for teams with no data limits. Join our Discord: https://discord.gg/ejRNvftDp9 | Happy Llm 📚 从零开始构建大模型 |
|---|---|---|---|---|
| Quality | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent | 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. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 23K stars Verified outcomes are shown on each skill page | 26K stars Verified outcomes are shown on each skill page | 15K stars Verified outcomes are shown on each skill page | 32K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 30, 2026 | Jun 12, 2026 | Jun 27, 2026 | May 6, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Jupyter Notebook, RAG, Claude Code | MDX, RAG, Claude Code, OpenAI Agents | Python, RAG, Claude Code, LangChain | Jupyter Notebook, RAG, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | 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 | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add AccumulateMore/CV | $ npx skills add deepset-ai/haystack | $ npx skills add MODSetter/SurfSense | $ npx skills add datawhalechina/happy-llm |