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.

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Decision summary

Scikit Learn is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.

Strongest overall

Scikit Learn

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

Fastest prototype

Scikit Learn

Best first install candidate based on install readiness and adoption.

Freshest repo

Scikit Learn

Most recent maintenance signal among this shortlist.

SignalDataball

Betting on the NBA with data

Nautilus Trader

Production-grade Rust-native trading engine with deterministic event-driven architecture

Handson Ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

Scikit Learn

scikit-learn: machine learning in Python

Quality
48/100
Needs review
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
38/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

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.

Adoption150 stars
Verified outcomes are shown on each skill page
23K stars
Verified outcomes are shown on each skill page
26K stars
Verified outcomes are shown on each skill page
66K stars
Verified outcomes are shown on each skill page
FreshnessJan 1, 2025Jun 14, 2026May 19, 2026Jun 17, 2026
Use-case fit
Sports analyticsCoding agentsRAG and knowledge
Finance and quantSports analyticsGitHub automation
Coding agentsRAG and knowledgeWorkflow automation
GitHub automationData analysisCoding agents
Workflow fit
Content growth agentCoding review agent
Content growth agentCoding review agent
Content growth agentCoding review agent
Coding review agentContent growth agent
Platform hintsJupyter Notebook, Sports Analytics, Claude CodeRust, Sports Analytics, Claude CodeJupyter Notebook, Machine Learning, Claude CodePython, Data Analysis, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forSports analytics workflows · Claude Code teams · builders willing to evaluate younger projectsFinance and quant 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 signals
Not ideal forteams that require actively maintained dependencies · production agents without a repository 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 klane/databall
$ npx skills add nautechsystems/nautilus_trader
$ npx skills add ageron/handson-ml
$ npx skills add scikit-learn/scikit-learn