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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

World In World is the strongest overall pick here because it has a 73/100 readiness score and fits Design and creative.

Strongest overall

World In World

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

Fastest prototype

World In World

Best first install candidate based on install readiness and adoption.

Freshest repo

World In World

Most recent maintenance signal among this shortlist.

SignalWorld In World

Code implementation of the paper "World-in-World: World Models in a Closed-Loop World" (ICLR'26 Oral)

Quality
74/100
Strong
Decision verdict
73/100
Strong shortlist

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

Adoption175 stars
0 installs
FreshnessApr 3, 2026
Use-case fit
Design and creativeCoding agentsMultimodal media
Stack fit
Coding review agentContent growth agent
Platform hintsPython, Video Generation, 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
Design and creative 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 World-In-World/world-in-world