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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 is the strongest overall pick here because it has a 79/100 readiness score and fits GitHub automation.

Strongest overall

Machine Learning

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

Fastest prototype

Machine Learning

Best first install candidate based on install readiness and adoption.

Freshest repo

Machine Learning

Most recent maintenance signal among this shortlist.

SignalMachine Learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

Quality
77/100
Strong
Decision verdict
79/100
Strong shortlist

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

Adoption10K stars
0 installs
FreshnessJul 12, 2024
Use-case fit
GitHub automationCoding agentsRAG and knowledge
Workflow fit
Content growth agentCoding review agent
Platform hintsPython, Machine Learning, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
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OpenAgentSkill

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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OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add Jack-Cherish/Machine-Learning