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
Yolov5 is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.
Strongest overall
Yolov5
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Yolov5
Best first install candidate based on install readiness and adoption.
Freshest repo
Nautilus Trader
Most recent maintenance signal among this shortlist.
| Signal | Sports Cool experiments at the intersection of Computer Vision and Sports ⚽🏃 | Nautilus Trader Production-grade Rust-native trading engine with deterministic event-driven architecture | 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. | Yolov5 Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite |
|---|---|---|---|---|
| Quality | 49/100 Needs review | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 51/100 Needs manual review Do a manual repository review before adding this to an agent workflow. | 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 | 550 stars Verified outcomes are shown on each skill page | 23K stars Verified outcomes are shown on each skill page | 9.5K stars Verified outcomes are shown on each skill page | 58K stars Verified outcomes are shown on each skill page |
| Freshness | Dec 12, 2023 | Jun 14, 2026 | May 21, 2026 | Jun 12, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Jupyter Notebook, Sports Analytics, Claude Code, OpenAI Agents | Rust, Sports Analytics, Claude Code | Jupyter Notebook, Machine Learning, Claude Code | Python, Machine Learning, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Sports analytics workflows · Claude Code teams · teams that value GitHub adoption signals | Finance and quant workflows · Claude Code teams · teams that value GitHub adoption signals | Multimodal media 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 | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add SkalskiP/sports | $ npx skills add nautechsystems/nautilus_trader | $ npx skills add roboflow/notebooks | $ npx skills add ultralytics/yolov5 |