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pixi-expert

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

1.19x
Quality

100%

Does it follow best practices?

Impact

92%

1.19x

Average score across 3 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Evaluation results

100%

11%

Set Up Development Environments for a Python Scientific Library

Multi-environment project configuration

Criteria
Without context
With context

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%

100%

20%

Containerize a Python ETL Service and Add Automated CI

Docker and GitHub Actions integration

Criteria
Without context
With context

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%

76%

12%

Configure a Pixi Project for Heterogeneous HPC and GPU Workstations

CUDA and legacy system requirements

Criteria
Without context
With context

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%

Repository
jjjermiah/dotagents
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

Is this your skill?

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.