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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

Pytorch Cheatsheet is the strongest overall pick here because it has a 41/100 readiness score and fits Coding agents.

Strongest overall

Pytorch Cheatsheet

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

Fastest prototype

Pytorch Cheatsheet

Best first install candidate based on install readiness and adoption.

Freshest repo

Pytorch Cheatsheet

Most recent maintenance signal among this shortlist.

SignalPytorch Cheatsheet

Check out improved:

Quality
51/100
Needs review
Decision verdict
41/100
Needs manual review

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

Adoption299 stars
0 installs
FreshnessNov 23, 2017
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Stack fit
Content growth agentCoding review agent
Platform hintsJupyter Notebook, 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
Coding agents 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 bfortuner/pytorch-cheatsheet