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
Lance
Most recent maintenance signal among this shortlist.
| Signal | Opencvsharp OpenCV wrapper for .NET | Machinelearning ML.NET is an open source and cross-platform machine learning framework for .NET. | Lance Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming.. | 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. |
|---|---|---|---|---|
| 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 | 6.0K stars 0 installs | 9.3K stars 0 installs | 6.7K stars 0 installs | 9.5K stars 0 installs |
| Freshness | Jun 15, 2026 | Jun 12, 2026 | Jun 14, 2026 | May 21, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | C#, Machine Learning, Claude Code | C#, Machine Learning, Claude Code | Rust, Machine Learning, Claude Code | Jupyter Notebook, 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 | Multimodal media 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 | 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 shimat/opencvsharp | $ npx skills add dotnet/machinelearning | $ npx skills add lance-format/lance | $ npx skills add roboflow/notebooks |