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

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

Add more skills

Decision summary

Keras is the strongest overall pick here because it has a 100/100 readiness score and fits Sports analytics.

Strongest overall

Keras

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

Fastest prototype

Keras

Best first install candidate based on install readiness and adoption.

Freshest repo

Ray

Most recent maintenance signal among this shortlist.

SignalProbability

Probabilistic reasoning and statistical analysis in TensorFlow

Keras

Deep Learning for humans

Ray

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

Pytorch Lightning

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

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.

Adoption4.4K stars
Verified outcomes are shown on each skill page
64K stars
Verified outcomes are shown on each skill page
43K stars
Verified outcomes are shown on each skill page
31K stars
Verified outcomes are shown on each skill page
FreshnessMay 12, 2026Jun 12, 2026Jun 16, 2026Jun 10, 2026
Use-case fit
GitHub automationCoding agentsRAG and knowledge
Sports analyticsGitHub automationCoding agents
RAG and knowledgeGitHub automationCoding agents
Coding agentsGitHub automationRAG and knowledge
Workflow fit
Content growth agentCoding review agent
Content growth agentCoding review agent
RAG knowledge baseContent growth agent
Coding review agentContent growth agent
Platform hintsJupyter Notebook, 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 major risk signals from current metadataNo OpenAgentSkill engagement data yet
Best forGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signalsSports analytics workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents 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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Install
$ npx skills add tensorflow/probability
$ npx skills add keras-team/keras
$ npx skills add ray-project/ray
$ npx skills add Lightning-AI/pytorch-lightning