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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

Path Optimizer is the strongest overall pick here because it has a 56/100 readiness score and fits Coding agents.

Strongest overall

Path Optimizer

Do a manual repository review before adding this to an agent workflow.

Fastest prototype

Path Optimizer

Best first install candidate based on install readiness and adoption.

Freshest repo

Path Optimizer

Most recent maintenance signal among this shortlist.

SignalPath Optimizer

Optimization-based real-time path planning for vehicles.

Quality
54/100
Needs review
Decision verdict
56/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

Adoption591 stars
0 installs
FreshnessOct 24, 2023
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Workflow fit
Content growth agentCoding review agent
Platform hintsC++, Robotics, 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
Coding agents 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 LiJiangnanBit/path_optimizer