OpenAgentSkill Registry Manifest
Skill: ray-data
Slug: openraiser-ray-data
Category: research
Description: 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.

Agent fit:
- Decision: 93/100 Production-ready
- Primary fit: Multimodal media
- Role: Primary pick

Supply profile:
- Track: Research and knowledge work
- Scenario: RAG and knowledge
- Applicable agents: CLI, Codex, Claude Code, Cursor
- Maintenance: 14d since push
- Risk: Needs review

Trust:
- Trust score: 80/100 Strong shortlist
- Audit: 85/100 Needs review

Attribution:
- Status: Registry indexed
- Source: github fast track
- Creator: Orchestra Research
- Claim URL: https://www.openagentskill.com/skills/openraiser-ray-data#claim-this-skill

Install:
npx skills add OpenRaiser/NanoResearch --skill ray-data

URLs:
- Web: https://www.openagentskill.com/skills/openraiser-ray-data
- API: https://www.openagentskill.com/api/agent/skills/openraiser-ray-data
- Install API: https://www.openagentskill.com/api/skills/openraiser-ray-data/install
- Repository: https://github.com/OpenRaiser/NanoResearch/tree/main/skills/vendor-ai-research/ray-data