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.

Add more skills

Decision summary

Generative AI For Beginners is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.

Strongest overall

Generative AI For Beginners

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

Fastest prototype

Generative AI For Beginners

Best first install candidate based on install readiness and adoption.

Freshest repo

Cognee

Most recent maintenance signal among this shortlist.

SignalKnowledgeRAG GZHU

​​KnowledgeRAG-GZHU​​ 是一个面向智能知识管理的检索增强生成(RAG)系统,集成文档解析、知识库管理、知识图谱生成、向量检索、Ollama模型服务及智能问答核心功能。前端基于 ​​Vue3 + TypeScript​​ 构建交互框架,实现知识组织与问答可视化;后端采用 ​​FastAPI​​ 架构提供高性能服务支持。该系统通过本地知识库与大语言模型协同推理,显著缓解大模型幻觉问题,提升领域知识问答的精确性与可靠性。

WeKnora

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

Cognee

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

Generative AI For Beginners

21 Lessons, Get Started Building with Generative AI

Quality
64/100
Promising
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
63/100
Prototype first

Prototype with this skill first; keep a fallback candidate ready.

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.

Adoption141 stars
Verified outcomes are shown on each skill page
16K stars
Verified outcomes are shown on each skill page
30K stars
Verified outcomes are shown on each skill page
112K stars
Verified outcomes are shown on each skill page
FreshnessMar 29, 2026Jun 18, 2026Aug 23, 2026Jun 21, 2026
Use-case fit
Workflow fit
Platform hintsVue, RAG, Claude CodeGo, Semantic Search, Claude CodePython, Vector Search, Claude CodeJupyter Notebook, Semantic Search, Claude Code, OpenAI Agents
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forRAG and knowledge workflows · Claude Code teams · builders willing to evaluate younger projectsRAG 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 engagement0 views
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Install
$ npx skills add Zhongye1/KnowledgeRAG-GZHU
$ npx skills add Tencent/WeKnora
$ npx skills add topoteretes/cognee
$ npx skills add microsoft/generative-ai-for-beginners