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 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Lightly is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Lightly
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Lightly
Best first install candidate based on install readiness and adoption.
Freshest repo
Lightly
Most recent maintenance signal among this shortlist.
| Signal | MAP mean Average Precision - This code evaluates the performance of your neural net for object recognition. | Lightly A python library for self-supervised learning on images. | Semantic Router Superfast AI decision making and intelligent processing of multi-modal data. | Raster Vision An open source library and framework for deep learning on satellite and aerial imagery. |
|---|---|---|---|---|
| Quality | 75/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 77/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 3.0K stars 0 installs | 3.8K stars 0 installs | 3.6K stars 0 installs | 2.2K stars 0 installs |
| Freshness | Aug 15, 2024 | Jun 15, 2026 | May 23, 2026 | Jun 4, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Computer Vision, Claude Code | Python, Computer Vision, Claude Code | Python, Computer Vision, Claude Code | Python, Computer Vision, Claude Code |
| Warnings | Repository looks stale | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | 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 | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 1 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add Cartucho/mAP | $ npx skills add lightly-ai/lightly | $ npx skills add aurelio-labs/semantic-router | $ npx skills add azavea/raster-vision |