cutedsl
CommunityWrite, debug, and optimize GPU kernels with CuTe.
AuthorShekswess
Version1.0.0
Installs0
System Documentation
What problem does it solve?
NVIDIA CuTe DSL enables writing CUTLASS-grade GPU kernels in Python. It compiles through AST rewrite + tracing → MLIR → ptxas, delivering the same PTX/SASS quality as C++ CUTLASS with dramatically faster compilation.
Core Features & Use Cases
- Guides users on how to approach CuTe DSL tasks — the decision sequences, workflow, and judgment calls, not just the API surface.
- Points to architecture-specific code patterns and API details in the official references, including references/api_reference.md and references/kernel_patterns.md.
- Helps with porting C++ CUTLASS kernels to Python CuTe DSL, debugging, and optimizing kernels.
Quick Start
Provide a CuTe DSL kernel outline or review a CuTe DSL snippet and suggest improvements.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: cutedsl Download link: https://github.com/Shekswess/gpu-kernel-skills/archive/main.zip#cutedsl Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.