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

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

Strongest overall

Llm App

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

Fastest prototype

Llm App

Best first install candidate based on install readiness and adoption.

Freshest repo

Awesome Opensource AI

Most recent maintenance signal among this shortlist.

SignalRAGHub

A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.

Awesome Opensource AI

Curated list of the best truly open-source AI projects, models, tools, and infrastructure.

Sim

Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.

Llm App

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

Quality
98/100
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.

Adoption1.9K stars
Verified outcomes are shown on each skill page
4.6K stars
Verified outcomes are shown on each skill page
29K stars
Verified outcomes are shown on each skill page
59K stars
Verified outcomes are shown on each skill page
FreshnessJun 20, 2026Aug 18, 2026Jul 18, 2026Jun 10, 2026
Use-case fit
Workflow fit
Platform hintsRAG, Claude CodePython, RAG, Claude CodeTypeScript, RAG, Claude CodeJupyter 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 engagement3 views
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Install
$ npx skills add Andrew-Jang/RAGHub
$ npx skills add alvinreal/awesome-opensource-ai
$ npx skills add simstudioai/sim
$ npx skills add pathwaycom/llm-app