Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
ray-data
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
ray-data
Best first install candidate based on install readiness and adoption.
Freshest repo
ray-data
Most recent maintenance signal among this shortlist.
| Signal | ray-data Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of nodes. Use for batch inference, data preprocessing, multi-modal data loading, or distributed ETL pipelines. |
|---|---|
| Quality | 82/100 Strong |
| Decision verdict | 93/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 1.4K stars Verified outcomes are shown on each skill page |
| Freshness | Aug 25, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | General agent workflow |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | Multimodal media workflows · general agent builders · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add OpenRaiser/NanoResearch --skill ray-data |