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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.

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

Lingam

Most recent maintenance signal among this shortlist.

SignalLingam

Python package for causal discovery based on LiNGAM.

Dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Pytorch Lightning

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

Keras

Deep Learning for humans

Quality
84/100
Strong
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
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.

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.

Adoption495 stars
0 installs
8.2K stars
0 installs
31K stars
0 installs
64K stars
0 installs
FreshnessJun 18, 2026Jun 16, 2026Jun 10, 2026Jun 12, 2026
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Coding agentsGitHub automationTesting and QA
Coding agentsGitHub automationRAG and knowledge
Sports analyticsGitHub automationCoding agents
Stack fit
Content growth agentCoding review agent
Coding review agentContent growth agent
Coding review agentContent growth agent
Content growth agentCoding review 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 OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · builders willing to evaluate younger projectsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsSports analytics 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 cdt15/lingam
$ npx skills add py-why/dowhy
$ npx skills add Lightning-AI/pytorch-lightning
$ npx skills add keras-team/keras