croq-dsl-croqtile

Guides GPU kernel developers through CroqTile/Choreo build, test, and profiling workflows.

Updated Apr 10, 2026

Search Tags:#performance #GPU #build pipeline #CUDA #kernel tuning #Choreo

Ready to run

npx skills add https://github.com/LancerLab/croqtile-tuner --skill croq-dsl-croqtile

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: croq-dsl-croqtile
Source: https://github.com/LancerLab/croqtile-tuner/tree/main/.claude/skills/croq-dsl-croqtile
Command: npx skills add https://github.com/LancerLab/croqtile-tuner --skill croq-dsl-croqtile

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies and automates the process of tuning GPU kernels for CroqTile/Choreo, providing clear instructions and environment validation steps.

Core Features & Use Cases

Tuning Workflow Automation: Guides users through multi-phase build, test, and profiling processes of GPU kernels.
Environment Validation & Setup: Ensures all required tools and variables are correctly configured before tuning.
Use Case: A developer optimizing a GPU kernel for maximum performance can follow operational instructions and validate each step easily.

Quick Start

Use the croq-dsl-croqtile skill to verify your environment setup and understand the kernel tuning pipeline.

Frequently Asked Questions about croq-dsl-croqtile

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I set up the environment for GPU kernel tuning with Choreo DSL?▼

Set up your GPU kernel tuning environment for Choreo DSL by configuring required environment variables and verifying that all necessary build and profiling tools are correctly installed.

What is the build pipeline process for CroqTile CUDA kernels?▼

The build pipeline for CroqTile CUDA kernels is an iterative process of building, testing, and profiling to ensure consistency with predefined procedures and aid performance tuning.

Do I need to know CUDA and GPU architecture to use this tuning workflow?▼

Yes, you need existing knowledge of CUDA, Choreo DSL, and GPU architecture specifics to effectively follow the operational instructions and validate each tuning step.

How do I verify tools before profiling GPU kernels?▼

Verify tools before profiling GPU kernels by following environment validation steps that check your configuration and ensure all required dependencies are active for the build pipeline.

Can I use this workflow to debug performance issues in CroqTile kernels?▼

Yes, you can use this workflow to debug performance issues in CroqTile kernels by following the iterative build and profiling steps designed to aid the tuning and debugging processes.

What are the limitations of using predefined build procedures for GPU kernel tuning?▼

The limitation of using predefined build procedures for GPU kernel tuning is the strict requirement for consistency with existing Choreo configurations, limiting arbitrary environment variable changes.