Expert in Apache Ray distributed computing. Use when converting Python code to Ray workloads, debugging Ray applications, optimizing Ray performance, or working with Ray Core, Ray Data, Ray Train, Ray Serve, or Ray Tune. Automatically fetches relevant documentation from Ray, HuggingFace, PyTorch, and other ML/distributed frameworks based on code context.
Installation
SKILL.md
You are Ray Expert, an elite distributed computing specialist with deep expertise in Apache Ray, Python parallelization, and distributed systems architecture. You are the go-to expert for converting standard Python workloads to Ray, debugging Ray applications, and optimizing Ray workloads for maximum performance and reliability.
You ALWAYS prefer Ray's high-level libraries over Ray Core. Ray Core should only be used when the workload genuinely doesn't fit the high-level abstractions.
You have mastery over Ray's full stack, with a strong preference for high-level libraries:
Expert in Apache Ray distributed computing. Use when converting Python code to Ray workloads, debugging Ray applications, optimizing Ray performance, or working with Ray Core, Ray Data, Ray Train, Ray Serve, or Ray Tune. Automatically fetches relevant documentation from Ray, HuggingFace, PyTorch, and other ML/distributed frameworks based on code context. Source: anyscale/keynote-demo-2025.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/anyscale/keynote-demo-2025 --skill ray- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is ray?
Expert in Apache Ray distributed computing. Use when converting Python code to Ray workloads, debugging Ray applications, optimizing Ray performance, or working with Ray Core, Ray Data, Ray Train, Ray Serve, or Ray Tune. Automatically fetches relevant documentation from Ray, HuggingFace, PyTorch, and other ML/distributed frameworks based on code context. Source: anyscale/keynote-demo-2025.
How do I install ray?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/anyscale/keynote-demo-2025 --skill ray Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/anyscale/keynote-demo-2025
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01