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
Notebooks is the strongest overall pick here because it has a 100/100 readiness score and fits Multimodal media.
Strongest overall
Notebooks
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Notebooks
Best first install candidate based on install readiness and adoption.
Freshest repo
Smile
Most recent maintenance signal among this shortlist.
| Signal | 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. | X AnyLabeling Effortless data labeling with AI support from Segment Anything and other awesome models. | Docs TensorFlow documentation | Smile Statistical Machine Intelligence & Learning Engine |
|---|---|---|---|---|
| Quality | 100/100 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 | 9.5K stars 0 installs | 9.4K stars 0 installs | 6.3K stars 0 installs | 6.4K stars 0 installs |
| Freshness | May 21, 2026 | Jun 6, 2026 | May 12, 2026 | Jun 14, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Jupyter Notebook, Machine Learning, Claude Code | Python, OCR, Claude Code | Jupyter Notebook, Machine Learning, Claude Code | Java, Machine Learning, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No major risk signals from current metadata |
| Best for | Multimodal media workflows · Claude Code teams · teams that value GitHub adoption signals | Document processing workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation 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 | 5 views 0 install copies |
| Install | $ npx skills add roboflow/notebooks | $ npx skills add CVHub520/X-AnyLabeling | $ npx skills add tensorflow/docs | $ npx skills add haifengl/smile |