Star200+

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

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Decision summary

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

Strongest overall

Ray

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

Fastest prototype

Ray

Best first install candidate based on install readiness and adoption.

Freshest repo

Featuretools

Most recent maintenance signal among this shortlist.

SignalAutogluon

Fast and Accurate ML in 3 Lines of Code

Ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

Featuretools

An open source python library for automated feature engineering

Ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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.

Adoption10K stars
Verified outcomes are shown on each skill page
12K stars
Verified outcomes are shown on each skill page
7.7K stars
Verified outcomes are shown on each skill page
43K stars
Verified outcomes are shown on each skill page
FreshnessJun 15, 2026Jun 15, 2026Jul 27, 2026Jun 16, 2026
Use-case fit
Coding agentsGitHub automationRAG and knowledge
Coding agentsGitHub automationRAG and knowledge
GitHub automationCoding agentsRAG and knowledge
RAG and knowledgeGitHub automationCoding agents
Workflow fit
Coding review agentContent growth agent
Coding review agentContent growth agent
Content growth agentCoding review agent
RAG knowledge baseContent growth agent
Platform hintsPython, Machine Learning, Claude CodePython, Machine Learning, Claude CodePython, Machine Learning, Claude CodePython, Machine Learning, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo major risk signals from current metadata
Best forCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsGitHub automation 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
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1 install copies
Install
$ npx skills add autogluon/autogluon
$ npx skills add ludwig-ai/ludwig
$ npx skills add alteryx/featuretools
$ npx skills add ray-project/ray