🧠
DevOpsTeX

Ray Train

by Orchestra-Research

Ray Train is a DevOps skill for Claude Code, published by Orchestra-Research in AI-Research-SKILLs.

11.6K stars844 forkson Orchestra-Research/AI-Research-SKILLsAdded 2026/08/12+1% in starsRepository updated 2026/06/16
View source on GitHubDownload repo ZIP
aiai-researchclaudeclaude-codeclaude-skillscodexgeminigpt-5grpohuggingfacemachine-leanringmegatronskillsvllm
Install in seconds
Install Ray Train
Copy Ray Train into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/08-distributed-training/ray-train ~/.claude/skills/ray-train

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Orchestra-Research/AI-Research-SKILLs.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
08-distributed-training/ray-train/SKILL.md in Orchestra-Research/AI-Research-SKILLs
Installs to
~/.claude/skills/ray-train
Collection
One of 50 skills cataloged from this repository
Category
DevOps — 798 skills

What Ray Train does

Ray Train orchestrates distributed machine learning training across single-GPU and multi-node clusters. Use it to scale PyTorch, TensorFlow, or HuggingFace training and run hyperparameter sweeps with fault tolerance.

Ray Train is cataloged under DevOps on DirSkills. Ray Train comes from a repository tagged ai, ai-research, claude, claude-code and claude-skills.

Frequently asked about Ray Train

  • What else does Orchestra-Research publish alongside Ray Train?

    Ray Train is one of 50 skills that DirSkills catalogs from Orchestra-Research/AI-Research-SKILLs, the repository it ships in. Its siblings there include AWQ Quantization, Autoresearch and Axolotl. Each one is a separate skill with its own page in this directory, installs the same way Ray Train does, and is maintained by Orchestra-Research in that same repository. The rest of the collection is listed on the Orchestra-Research/AI-Research-SKILLs page.

  • How does Ray Train compare to other DevOps skills?

    Ray Train ranks #92 by stars among the 798 DevOps skills in this catalog. The most-starred ones next to it are Backend Patterns, API Connector Builder and Migration. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Ray Train against them. Open each page to compare what they document and how they install.

More from Orchestra-Research/AI-Research-SKILLs

Ray Train is one of 50 skills cataloged on DirSkills from Orchestra-Research/AI-Research-SKILLs.

See all 50 skills →
⚙️
3w ago

AWQ Quantization

AWQ Quantization compresses large language models to 4-bit with activation-aware weight selection. Use it to deploy 7B-70B models on limited GPU memory while keeping accuracy loss low.
AI Engineering
11.6K844
🔬
2026/07/19

Autoresearch

Orchestrates end-to-end autonomous AI research projects using a two-loop architecture for rapid experiment iteration and synthesis. Routes to domain-specific skills, supports continuous operation, and produces research presentations and papers.
AI Engineering
11.6K838
🧠
2026/07/19

Axolotl

Comprehensive guidance for fine-tuning LLMs using Axolotl, including YAML configuration, 100+ model support, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, and multimodal training.
AI Engineering
11.6K838
🧪
3w ago

BigCode Evaluation Harness

BigCode Evaluation Harness evaluates code generation models on HumanEval, MBPP, MultiPL-E, and other benchmarks with pass@k metrics. Use it to benchmark coding ability, compare models, and measure multi-language code generation quality.
Quality
11.6K844
🧮
3w ago

Bitsandbytes Model Quantization

Bitsandbytes Model Quantization loads LLMs in 8-bit or 4-bit to cut GPU memory use and fit larger models. Use it for Hugging Face Transformers inference, QLoRA fine-tuning, or 8-bit optimizers when VRAM is limited.
AI Engineering
11.6K844
🛡️
3w ago

Constitutional AI

Constitutional AI trains models with self-critique, revision, and AI feedback to reduce harmful outputs without human labels. Use it when you need safety alignment or a clear set of principles for model behavior.
AI Engineering
11.6K844

More DevOps skills

Ray Train is one of 798 DevOps skills cataloged on DirSkills, ranked #92 by stars among them.

Browse all DevOps skills →
⚙️
3w ago

Backend Patterns

Backend Patterns covers backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes. Use when building or reviewing Node.js, Express, or Next.js API routes and their data access.
DevOps
239.8K36.4K
🔌
3w ago

API Connector Builder

API Connector Builder builds a new API connector or provider by matching an existing integration pattern in the codebase exactly. Use it when adding a new integration to a project without introducing a second architecture.
DevOps
239.8K36.4K
🔄
3w ago

Migration

Migration implements reversible compatibility-safe transitions for schema, data, API, protocol, configuration, or dependency changes. Use it when rollback and preservation proof are required.
DevOps
97.8K5.6K