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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

Must Read Papers For Ml is the strongest overall pick here because it has a 74/100 readiness score and fits GitHub automation.

Strongest overall

Must Read Papers For Ml

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

Fastest prototype

Must Read Papers For Ml

Best first install candidate based on install readiness and adoption.

Freshest repo

Must Read Papers For Ml

Most recent maintenance signal among this shortlist.

SignalMust Read Papers For Ml

Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

Quality
72/100
Strong
Decision verdict
74/100
Strong shortlist

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

Adoption1.4K stars
0 installs
FreshnessDec 2, 2023
Use-case fit
GitHub automationData analysisCoding agents
Stack fit
Content growth agentCoding review agent
Platform hintsData Analysis, 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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DocsAbout OpenAgentSkillAPIllms.txtOpenAPICLICreator KitX Growth KitSubmitBlogGuidesActivity
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 hurshd0/must-read-papers-for-ml