SkillCheatSheet
ray-train
An AI agent skill from Orchestra-Research/AI-Research-SKILLs, scored 63 out of 100 by code.
Code score by group
It loses the most points in Description (12), the group that checks whether the description says what the skill does and when to use it.
What the author says it does
Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with Ray Tune, fault tolerance, elastic scaling. Use when training massive models across multiple machines or running distributed hyperparameter sweeps.
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- Orchestra-Research/AI-Research-SKILLs
- Folder
- 08-distributed-training/ray-train
- License
- MIT
- GitHub stars
- 14,480
- SKILL.md lines
- 407
- Other files
- 1
Add ray-train to your agent
npx skills add Orchestra-Research/AI-Research-SKILLs --skill ray-trainThe command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.
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All skills in Orchestra-Research/AI-Research-SKILLs
Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.