Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Ultralytics is the strongest overall pick here because it has a 100/100 readiness score and fits Multimodal media.
Strongest overall
Ultralytics
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Ultralytics
Best first install candidate based on install readiness and adoption.
Freshest repo
Ultralytics
Most recent maintenance signal among this shortlist.
| Signal | Mish Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020] | Notebooks A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL. | Ultralytics Ultralytics YOLO 🚀 | Pytorch Grad Cam Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more. |
|---|---|---|---|---|
| Quality | 99/100 Excellent | 100/100 Excellent | 100/100 Excellent | 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. | 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 | 1.3K stars 0 installs | 9.5K stars 0 installs | 58K stars 0 installs | 13K stars 0 installs |
| Freshness | Jun 13, 2026 | May 21, 2026 | Jun 16, 2026 | Jun 14, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Jupyter Notebook, Computer Vision, Claude Code | Jupyter Notebook, Machine Learning, Claude Code | Python, Machine Learning, Claude Code | Python, Machine Learning, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Multimodal media workflows · Claude Code teams · teams that value GitHub adoption signals | Multimodal media workflows · Claude Code teams · teams that value GitHub adoption signals | Multimodal media 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 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 | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add digantamisra98/Mish | $ npx skills add roboflow/notebooks | $ npx skills add ultralytics/ultralytics | $ npx skills add jacobgil/pytorch-grad-cam |