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.

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Decision summary

Onyx is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.

Strongest overall

Onyx

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Onyx

Best first install candidate based on install readiness and adoption.

Freshest repo

CV

Most recent maintenance signal among this shortlist.

SignalBeir

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

Onyx

Open Source AI Platform - AI Chat with advanced features that works with every LLM

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】

Quality
87/100
Excellent
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
92/100
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.

Adoption2.2K stars
Verified outcomes are shown on each skill page
30K 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
FreshnessOct 16, 2025Jun 13, 2026Jun 12, 2026Jun 30, 2026
Use-case fit
Workflow fit
Platform hintsPython, RAG, Claude CodePython, RAG, Claude Code, OpenAI AgentsMDX, RAG, Claude Code, OpenAI AgentsJupyter Notebook, RAG, Claude Code
WarningsNo major risk signals from current metadataNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement5 views
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Install
$ npx skills add beir-cellar/beir
$ npx skills add onyx-dot-app/onyx
$ npx skills add deepset-ai/haystack
$ npx skills add AccumulateMore/CV