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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 4 skills

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

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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

Ray

Most recent maintenance signal among this shortlist.

SignalLudwig

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

Autogluon

Fast and Accurate ML in 3 Lines of Code

D2l En

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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
81/100
Strong
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.

83/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

100/100
Production-ready

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

Adoption12K stars
0 installs
10K stars
0 installs
29K stars
0 installs
43K stars
0 installs
FreshnessJun 15, 2026Jun 15, 2026Aug 18, 2024Jun 16, 2026
Use-case fit
Coding agentsGitHub automationRAG and knowledge
Coding agentsGitHub automationRAG and knowledge
Coding agentsGitHub automationRAG and knowledge
RAG and knowledgeGitHub automationCoding agents
Stack fit
Coding review agentContent growth agent
Coding review agentContent growth agent
Coding review agentContent growth 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 yetRepository looks stale · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents 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 require actively maintained dependencies · production agents without a repository reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
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Install
$ npx skills add ludwig-ai/ludwig
$ npx skills add autogluon/autogluon
$ npx skills add d2l-ai/d2l-en
$ npx skills add ray-project/ray