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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

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Decision summary

Orillusion TileEarth is the strongest overall pick here because it has a 37/100 readiness score and fits GitHub automation.

Strongest overall

Orillusion TileEarth

Do a manual repository review before adding this to an agent workflow.

Fastest prototype

Orillusion TileEarth

Best first install candidate based on install readiness and adoption.

Freshest repo

Orillusion TileEarth

Most recent maintenance signal among this shortlist.

SignalOrillusion TileEarth

这是一个基于Orillusion的瓦片地球demo，有问题可以联系qq:1946475471,wx:GGBond-GIS

Quality
47/100
Needs review
Decision verdict
37/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

Adoption399 stars
0 installs
FreshnessMar 5, 2025
Use-case fit
GitHub automationCoding agentsRAG and knowledge
Workflow fit
Content growth agentCoding review agent
Platform hintsTypeScript, GIS, Claude Code
WarningsRepository looks stale · No 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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OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
GitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add GGBond-GIS/Orillusion_TileEarth