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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

Auto Assign Action is the strongest overall pick here because it has a 79/100 readiness score and fits Coding agents.

Strongest overall

Auto Assign Action

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

Fastest prototype

Auto Assign Action

Best first install candidate based on install readiness and adoption.

Freshest repo

Auto Assign Action

Most recent maintenance signal among this shortlist.

SignalAuto Assign Action

An action which adds reviewers to the pull request when the pull request is opened.

Quality
80/100
Strong
Decision verdict
79/100
Strong shortlist

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

Adoption395 stars
0 installs
FreshnessJun 12, 2026
Use-case fit
Coding agentsGitHub automationRAG and knowledge
Workflow fit
Coding review agentContent growth agent
Platform hintsTypeScript, GitHub, 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.

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DocsAbout OpenAgentSkillAPIllms.txtOpenAPICLICreator KitX Growth KitSubmitBlogGuidesActivity
OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Coding agents 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 kentaro-m/auto-assign-action