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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

Tapnet is the strongest overall pick here because it has a 100/100 readiness score and fits Sports analytics.

Strongest overall

Tapnet

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

Fastest prototype

Tapnet

Best first install candidate based on install readiness and adoption.

Freshest repo

Tapnet

Most recent maintenance signal among this shortlist.

SignalTapnet

Tracking Any Point (TAP)

Quality
98/100
Excellent
Decision verdict
100/100
Production-ready

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

Adoption1.9K stars
0 installs
FreshnessMar 30, 2026
Use-case fit
Sports analyticsCoding agentsRAG and knowledge
Workflow fit
Content growth agentCoding review agent
Platform hintsJupyter Notebook, Computer Vision, Claude Code
WarningsNo OpenAgentSkill engagement data yet
Best forSports analytics workflows · Claude Code teams · teams that value GitHub adoption signals
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
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 google-deepmind/tapnet