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
Flowise is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Flowise
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Flowise
Best first install candidate based on install readiness and adoption.
Freshest repo
CV
Most recent maintenance signal among this shortlist.
| Signal | Agentic RAG For Dummies A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes. | 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. | 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】 | Flowise Build AI Agents, Visually |
|---|---|---|---|---|
| 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 | 3.5K stars Verified outcomes are shown on each skill page | 26K stars Verified outcomes are shown on each skill page | 23K stars Verified outcomes are shown on each skill page | 54K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 10, 2026 | Jun 12, 2026 | Jun 30, 2026 | Jun 10, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Jupyter Notebook, RAG, Claude Code | MDX, RAG, Claude Code, OpenAI Agents | Jupyter Notebook, RAG, Claude Code | TypeScript, RAG, Claude Code, OpenAI Agents, LangChain |
| 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 GiovanniPasq/agentic-rag-for-dummies | $ npx skills add deepset-ai/haystack | $ npx skills add AccumulateMore/CV | $ npx skills add FlowiseAI/Flowise |