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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

Elm Cheat Sheet is the strongest overall pick here because it has a 58/100 readiness score and fits Coding agents.

Strongest overall

Elm Cheat Sheet

Prototype with this skill first; keep a fallback candidate ready.

Fastest prototype

Elm Cheat Sheet

Best first install candidate based on install readiness and adoption.

Freshest repo

Elm Cheat Sheet

Most recent maintenance signal among this shortlist.

SignalElm Cheat Sheet

An overview of Elm syntax and features

Quality
56/100
Promising
Decision verdict
58/100
Prototype first

Prototype with this skill first; keep a fallback candidate ready.

Adoption948 stars
0 installs
FreshnessApr 27, 2018
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Stack fit
Content growth agentCoding review agent
Platform hintsElm, Education, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · teams that value GitHub adoption signals
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
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add izdi/elm-cheat-sheet