Skill comparison
Compare agent skills before installing.
Comparing 1 skill
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Robosat is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Robosat
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Robosat
Best first install candidate based on install readiness and adoption.
Freshest repo
Robosat
Most recent maintenance signal among this shortlist.
| Signal | Robosat Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds |
|---|---|
| Quality | 100/100 Excellent |
| Decision verdict | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 2.1K stars 0 installs |
| Freshness | Jun 17, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, Machine Learning, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge 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 mapbox/robosat |