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
Lidar Slam Ros2 is the strongest overall pick here because it has a 94/100 readiness score and fits Coding agents.
Strongest overall
Lidar Slam Ros2
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Lidar Slam Ros2
Best first install candidate based on install readiness and adoption.
Freshest repo
Lidar Slam Ros2
Most recent maintenance signal among this shortlist.
| Signal | Lidar Slam Ros2 ROS 2 LiDAR SLAM for pointcloud-map authoring, benchmarking, and Autoware-compatible map workflows. |
|---|---|
| Quality | 83/100 Strong |
| Decision verdict | 94/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 823 stars 0 installs |
| Freshness | Jun 16, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | HTML, Robotics, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add rsasaki0109/lidar_slam_ros2 |