ray-data
ray-data is a Data pipelines & ETL skill for AI agents, published by davila7 in the claude-code-templates repository on GitHub. Skillspace rates ray-data B (85/100) and it passed the safety scan; a judge model has also reviewed it.
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.
- Grade
- B
- Quality
- 85 / 100
- Safety
- Passed
- GitHub stars
- 30,694
Placed #6 of 6 in the judged category final for Data pipelines & ETL.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 97 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #6 of 6 in the judged category final for Data pipelines & ETL.
- Trigger
78 78 - Instructions
55 55 - Specificity
60 60 - Safety
65 65 - Disclosure
50 50 - Maintenance
50 50
A wide, useful code-snippet catalog that mostly restates library documentation rather than adding opinionated workflow or gotchas.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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