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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

MachineLearningWithMe is the strongest overall pick here because it has a 73/100 readiness score and fits GitHub automation.

Strongest overall

MachineLearningWithMe

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

Fastest prototype

MachineLearningWithMe

Best first install candidate based on install readiness and adoption.

Freshest repo

MachineLearningWithMe

Most recent maintenance signal among this shortlist.

SignalMachineLearningWithMe

A repository contains more than 12 common statistical machine learning algorithm implementations. 常见10余种机器学习算法原理与实现及视频讲解。@月来客栈 出品

Quality
74/100
Strong
Decision verdict
73/100
Strong shortlist

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

Adoption284 stars
0 installs
FreshnessJun 15, 2026
Use-case fit
GitHub automationCoding agentsRAG and knowledge
Stack fit
Coding review agentContent growth agent
Platform hintsJupyter Notebook, Machine Learning, Claude Code
WarningsNo OpenAgentSkill engagement data yet
Best for
OpenAgentSkill

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

GitHubX

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DocsAbout OpenAgentSkillAPIllms.txtOpenAPICLICreator KitX Growth KitSubmitBlogGuidesActivity
OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
GitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add mlwithme/MachineLearningWithMe