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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

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

Strongest overall

MAP

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

Fastest prototype

MAP

Best first install candidate based on install readiness and adoption.

Freshest repo

MAP

Most recent maintenance signal among this shortlist.

SignalMAP

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

Quality
75/100
Strong
Decision verdict
79/100
Strong shortlist

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

Adoption3.0K stars
0 installs
FreshnessAug 15, 2024
Use-case fit
Coding agentsGitHub automationRAG and knowledge
Stack fit
Coding review agentContent growth agent
Platform hintsPython, Computer Vision, Claude Code
WarningsRepository looks stale
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 engagement4 views
0 install copies
Install
$ npx skills add Cartucho/mAP