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.
Decision summary
Loam Velodyne is the strongest overall pick here because it has a 70/100 readiness score and fits Coding agents.
Strongest overall
Loam Velodyne
Prototype with this skill first; keep a fallback candidate ready.
Fastest prototype
Loam Velodyne
Best first install candidate based on install readiness and adoption.
Freshest repo
Loam Velodyne
Most recent maintenance signal among this shortlist.
| Signal | Loam Velodyne Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar. |
|---|---|
| Quality | 68/100 Promising |
| Decision verdict | 70/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. |
| Adoption | 1.8K stars 0 installs |
| Freshness | Jun 18, 2019 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | C++, Computer Vision, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add laboshinl/loam_velodyne |