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pixi-make-cu-build-env

Configure CUDA build environments for Pixi projects with CMake and nvcc.

7|1|Updated Jul 10, 2025
Search Tags:#cmake#toolchain#cuda#pixi#nvcc#ninja#build-env
One-click install
npx skills add https://github.com/igamenovoer/magic-context --skill pixi-make-cu-build-env
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pixi-make-cu-build-env
Source: https://github.com/igamenovoer/magic-context/tree/main/skills/tools/pixi/pixi-make-cu-build-env
Command: npx skills add https://github.com/igamenovoer/magic-context --skill pixi-make-cu-build-env

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the setup of a CUDA build environment for Pixi projects by ensuring the correct compilers, toolkits, and CMake configurations are in place to build .cu code reliably.

Core Features & Use Cases

  • Detects the project context (pixi.toml or pyproject.toml) and selects the target environment.
  • Installs or configures essential build tools (cmake, ninja, C++ compiler) and CUDA toolchain (cuda-toolkit, nvcc) in an isolated Pixi environment.
  • Adds a standard build task workflow and provides a verification path using the included demo-code to ensure CUDA build viability.

Quick Start

  • Configure the current Pixi project for CUDA builds and verify the environment by running the demo-code check.

Frequently Asked Questions about pixi-make-cu-build-env

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

FAQPage Schema
How do I configure a Pixi project to build CUDA code?▼

Configuring a Pixi project to build CUDA code requires setting up compilers, the CUDA toolkit, and CMake. This skill automates that environment configuration by detecting your project context and installing the necessary build tools.

What tools are needed for a Pixi CUDA build environment?▼

A Pixi CUDA build environment requires cmake, ninja, a C++ compiler, and the CUDA toolchain including nvcc. This skill ensures these specific tools are installed and configured in an isolated environment for your project.

Does this skill work with pyproject.toml or only pixi.toml?▼

This skill works with both pixi.toml and pyproject.toml files. It automatically detects the available project context file to select the target environment and apply the CUDA build configurations.

Can I use this to verify if my CUDA build setup is working correctly?▼

Yes, you can verify your CUDA build setup using this skill. It adds a standard build task workflow and provides a verification path using included demo-code to ensure your CUDA build environment is fully viable.

How do I isolate nvcc and CMake toolchains for different Pixi projects?▼

You can isolate nvcc and CMake toolchains by configuring them within a dedicated Pixi environment for each project. This skill automates installing the CUDA toolkit and build tools per project to maintain isolation across local or CI workflows.

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