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 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Haystack is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Haystack
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Haystack
Best first install candidate based on install readiness and adoption.
Freshest repo
Haystack
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. | Sidekick A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing any other software. Powered by llama.cpp. | 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】 |
|---|---|---|---|---|
| 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 0 installs | 26K stars 0 installs | 3.3K stars 0 installs | 22K stars 0 installs |
| Freshness | Jun 10, 2026 | Jun 12, 2026 | May 24, 2026 | Apr 27, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Jupyter Notebook, RAG, Claude Code | MDX, RAG, Claude Code, OpenAI Agents | Swift, RAG, Claude Code | Jupyter Notebook, RAG, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No major risk signals from current metadata | No major risk signals from current metadata | No major risk signals from current metadata |
| 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 | 2 views 0 install copies | 3 views 0 install copies | 1 views 0 install copies |
| Install | $ npx skills add GiovanniPasq/agentic-rag-for-dummies | $ npx skills add deepset-ai/haystack | $ npx skills add johnbean393/Sidekick | $ npx skills add AccumulateMore/CV |