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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

Lleaves is the strongest overall pick here because it has a 60/100 readiness score and fits Sports analytics.

Strongest overall

Lleaves

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

Fastest prototype

Lleaves

Best first install candidate based on install readiness and adoption.

Freshest repo

Lleaves

Most recent maintenance signal among this shortlist.

SignalLleaves

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

Quality
70/100
Strong
Decision verdict
60/100
Prototype first

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

Adoption475 stars
0 installs
FreshnessJan 1, 2026
Use-case fit
Sports analyticsGitHub automationCoding agents
Stack fit
Content growth agentCoding review agent
Platform hintsPython, Machine Learning, Claude Code
WarningsNo OpenAgentSkill engagement data yet
Best forSports analytics workflows · Claude Code teams · builders willing to evaluate younger projects
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 siboehm/lleaves