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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

Coursera ML AndrewNg Notes is the strongest overall pick here because it has a 97/100 readiness score and fits Coding agents.

Strongest overall

Coursera ML AndrewNg Notes

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

Fastest prototype

Coursera ML AndrewNg Notes

Best first install candidate based on install readiness and adoption.

Freshest repo

Coursera ML AndrewNg Notes

Most recent maintenance signal among this shortlist.

SignalCoursera ML AndrewNg Notes

吴恩达老师的机器学习课程个人笔记

Quality
95/100
Excellent
Decision verdict
97/100
Production-ready

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

Adoption37K stars
0 installs
FreshnessAug 25, 2025
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Stack fit
Content growth agentCoding review agent
Platform hintsHTML, Machine Learning, Claude Code
WarningsNo OpenAgentSkill engagement data yet
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
Best for
Coding agents 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 review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add fengdu78/Coursera-ML-AndrewNg-Notes