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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 1 skill

Use this as a shortlist, then open the skill detail page before adopting.

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Decision summary

Ragbase is the strongest overall pick here because it has a 37/100 readiness score and fits RAG and knowledge.

Strongest overall

Ragbase

Do a manual repository review before adding this to an agent workflow.

Fastest prototype

Ragbase

Best first install candidate based on install readiness and adoption.

Freshest repo

Ragbase

Most recent maintenance signal among this shortlist.

SignalRagbase

Completely local RAG. Chat with your PDF documents (with open LLM) and UI to that uses LangChain, Streamlit, Ollama (Llama 3.1), Qdrant and advanced methods like reranking and semantic chunking.

Quality
47/100
Needs review
Decision verdict
37/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

Adoption128 stars
0 installs
FreshnessJul 26, 2024
Use-case fit
RAG and knowledgeDocument processingCoding agents
Stack fit
RAG knowledge baseContent growth agent
Platform hintsPython, RAG, Claude Code, LangChain
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forRAG and knowledge workflows · Claude Code teams · builders willing to evaluate younger projects
OpenAgentSkill

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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DocsAbout OpenAgentSkillAPIllms.txtOpenAPICLICreator KitX Growth KitSubmitBlogGuidesActivity
OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add curiousily/ragbase