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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

TraceAnything is the strongest overall pick here because it has a 69/100 readiness score and fits Coding agents.

Strongest overall

TraceAnything

Prototype with this skill first; keep a fallback candidate ready.

Fastest prototype

TraceAnything

Best first install candidate based on install readiness and adoption.

Freshest repo

TraceAnything

Most recent maintenance signal among this shortlist.

SignalTraceAnything

[ICLR 2026] Trace Anything: Representing Any Video in 4D via Trajectory Fields

Quality
67/100
Promising
Decision verdict
69/100
Prototype first

Prototype with this skill first; keep a fallback candidate ready.

Adoption539 stars
0 installs
FreshnessOct 31, 2025
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Stack fit
Content growth agentCoding review agent
Platform hintsPython, Computer Vision, 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
Coding agents 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 ByteDance-Seed/TraceAnything