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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.

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Decision summary

Openstreetmap Ng is the strongest overall pick here because it has a 77/100 readiness score and fits GitHub automation.

Strongest overall

Openstreetmap Ng

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

Fastest prototype

Openstreetmap Ng

Best first install candidate based on install readiness and adoption.

Freshest repo

Openstreetmap Ng

Most recent maintenance signal among this shortlist.

SignalOpenstreetmap Ng

🗺️ The Next Generation of OpenStreetMap — in Python!

Quality
78/100
Strong
Decision verdict
77/100
Strong shortlist

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

Adoption247 stars
0 installs
FreshnessJun 15, 2026
Use-case fit
GitHub automationCoding agentsRAG and knowledge
Workflow fit
Content growth agentCoding review agent
Platform hintsPython, GIS, Claude Code
WarningsNo OpenAgentSkill engagement data yet
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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 · 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 openstreetmap-ng/openstreetmap-ng