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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

LLMCompiler is the strongest overall pick here because it has a 75/100 readiness score and fits GitHub automation.

Strongest overall

LLMCompiler

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

Fastest prototype

LLMCompiler

Best first install candidate based on install readiness and adoption.

Freshest repo

LLMCompiler

Most recent maintenance signal among this shortlist.

SignalLLMCompiler

[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling

Quality
73/100
Strong
Decision verdict
75/100
Strong shortlist

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

Adoption1.9K stars
0 installs
FreshnessJul 10, 2024
Use-case fit
GitHub automationCoding agentsSports analytics
Stack fit
Coding review agentContent growth agent
Platform hintsPython, LLM, 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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DocsAbout OpenAgentSkillAPIllms.txtOpenAPICLICreator KitX Growth KitSubmitBlogGuidesActivity
OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
GitHub automation 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 SqueezeAILab/LLMCompiler