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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 1 skill

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

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Decision summary

Machine Learning For Good is the strongest overall pick here because it has a 39/100 readiness score and fits Data analysis.

Strongest overall

Machine Learning For Good

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

Fastest prototype

Machine Learning For Good

Best first install candidate based on install readiness and adoption.

Freshest repo

Machine Learning For Good

Most recent maintenance signal among this shortlist.

SignalMachine Learning For Good

Machine learning fundamentals lesson in interactive notebooks

Quality
49/100
Needs review
Decision verdict
39/100
Needs manual review

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

Adoption181 stars
0 installs
FreshnessMar 30, 2021
Use-case fit
Data analysisGitHub automationCoding agents
Workflow fit
Content growth agentCoding review agent
Platform hintsJupyter Notebook, Data Analysis, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
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The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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PrivacyBuilt for agent-native discovery
Best forData analysis workflows · Claude Code teams · builders willing to evaluate younger projects
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add DeltaAnalytics/machine_learning_for_good