Comprehensive pixi package manager skill for all pixi operations from beginner to advanced. Use for initializing projects, managing dependencies, configuring environments, multi-environment setups, workspace composition, system requirements (CUDA/glibc), task workflows, CI/CD integration, or any pixi.toml/pyproject.toml configuration—e.g., "pixi init", "pixi add numpy", "setup multi-environment project", "configure CUDA", "monorepo workspace", "pixi.lock issues", "Docker with pixi", "GitHub Actions pixi".
98
100%
Does it follow best practices?
Impact
92%
1.19xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Multi-environment project configuration
pyproject.toml format
70%
100%
Features used
100%
100%
Environments composed from features
100%
100%
Solve group present
100%
100%
All environments share solve group
38%
100%
.pixi/ ignored
100%
100%
pixi.lock NOT ignored
100%
100%
Test tooling in feature
100%
100%
Lint tooling in feature
100%
100%
Tasks defined in features
100%
100%
Docker and GitHub Actions integration
Pixi builder image
100%
100%
Multi-stage build
100%
100%
Shell-hook entrypoint
0%
100%
exec in entrypoint
0%
100%
Locked install in Docker
100%
100%
setup-pixi action used
100%
100%
Cache enabled
100%
100%
Pixi version pinned
100%
100%
pixi run in CI
100%
100%
Env copied to runtime
100%
100%
CUDA and legacy system requirements
Old Linux kernel requirement
0%
100%
Old glibc requirement
100%
100%
Feature-level CUDA requirement
100%
100%
CPU and GPU environments
100%
100%
Environments share solve group
0%
0%
CONDA_OVERRIDE_CUDA used
100%
100%
GPU feature platform restricted
0%
0%
Environments composed from features
100%
100%
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Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.