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
Raster Vision is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.
Strongest overall
Raster Vision
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Autodistill
Best first install candidate based on install readiness and adoption.
Freshest repo
Raster Vision
Most recent maintenance signal among this shortlist.
| Signal | TensorRT YOLO 🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️ | Zed Sdk ⚡️The spatial perception framework for rapidly building smart robots and spaces | Autodistill Images to inference with no labeling (use foundation models to train supervised models). | Raster Vision An open source library and framework for deep learning on satellite and aerial imagery. |
|---|---|---|---|---|
| Quality | 98/100 Excellent | 96/100 Excellent | 75/100 Strong | 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. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 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. |
| Adoption | 1.8K stars 0 installs | 1.2K stars 0 installs | 2.7K stars 0 installs | 2.2K stars 0 installs |
| Freshness | Mar 22, 2026 | Apr 29, 2026 | May 14, 2025 | Jun 4, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | C++, Computer Vision, Claude Code | C++, Computer Vision, Claude Code | Python, Computer Vision, Claude Code | Python, Computer Vision, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents 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 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 require actively maintained dependencies · production agents without a repository review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add laugh12321/TensorRT-YOLO | $ npx skills add stereolabs/zed-sdk | $ npx skills add autodistill/autodistill | $ npx skills add azavea/raster-vision |