croq-dsl-cute-dsl
OfficialStreamline Python JIT GPU kernel tuning workflows.
AuthorLancerLab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a structured interface and guidance for tuning CuTe DSL (Python JIT) kernels, optimizing GPU performance efficiently.
Core Features & Use Cases
- Tuning Contract Definition: Establishes environment validation, build, run, profiling, and verification templates for CuTe DSL kernels.
- Workflow Automation: Automates common steps such as build, profiling with ncu, verification, and benchmarking.
- Use Case: Enables developers to systematically optimize and validate their GPU kernels written in Python using CuTe, improving performance with minimal manual effort.
Quick Start
Load the CuTe DSL tuning skill, validate environment, compile kernels, profile with NCU, run benchmarks, and verify correctness.
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: croq-dsl-cute-dsl Download link: https://github.com/LancerLab/croqtile-tuner/archive/main.zip#croq-dsl-cute-dsl Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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