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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

Lidar Obstacle Detector is the strongest overall pick here because it has a 42/100 readiness score and fits Sports analytics.

Strongest overall

Lidar Obstacle Detector

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

Fastest prototype

Lidar Obstacle Detector

Best first install candidate based on install readiness and adoption.

Freshest repo

Lidar Obstacle Detector

Most recent maintenance signal among this shortlist.

SignalLidar Obstacle Detector

3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm

Quality
52/100
Needs review
Decision verdict
42/100
Needs manual review

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

Adoption400 stars
0 installs
FreshnessMar 20, 2024
Use-case fit
Sports analyticsCoding agentsRAG and knowledge
Stack 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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PrivacyBuilt for agent-native discovery
Sports analytics workflows · Claude Code teams · builders willing to evaluate younger projects
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add SS47816/lidar_obstacle_detector