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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

Visionary is the strongest overall pick here because it has a 89/100 readiness score and fits Browser automation.

Strongest overall

Visionary

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Visionary

Best first install candidate based on install readiness and adoption.

Freshest repo

Visionary

Most recent maintenance signal among this shortlist.

SignalVisionary

Visionary: The World Model Carrier Built on WebGPU-Powered Gaussian Splatting Platform

Quality
78/100
Strong
Decision verdict
89/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption509 stars
0 installs
FreshnessApr 17, 2026
Use-case fit
Browser automationCoding agentsRAG and knowledge
Stack fit
Browser QA agentContent growth agent
Platform hintsPython, Computer Vision, Claude Code
WarningsNo OpenAgentSkill engagement data yet
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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
Browser automation workflows · Claude Code teams · teams that value GitHub adoption signals
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 Visionary-Laboratory/visionary