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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

Minimal Hand is the strongest overall pick here because it has a 72/100 readiness score and fits Sports analytics.

Strongest overall

Minimal Hand

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

Fastest prototype

Minimal Hand

Best first install candidate based on install readiness and adoption.

Freshest repo

Minimal Hand

Most recent maintenance signal among this shortlist.

SignalMinimal Hand

A minimal solution to hand motion capture from a single color camera at over 100fps. Easy to use, plug to run.

Quality
70/100
Strong
Decision verdict
72/100
Strong shortlist

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

Adoption1.0K stars
0 installs
FreshnessJan 12, 2022
Use-case fit
Sports analyticsGitHub automationCoding agents
Workflow fit
Content growth agentCoding review agent
Platform hintsPython, Computer Vision, 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
Sports analytics workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add CalciferZh/minimal-hand