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Agent skill

Use Pixi

by moeru-ai in moeru-ai/auv

A skill your agent uses when explaining, creating, or changing a Pixi workspace, including manifests, dependencies, platforms, targets, features, environments, tasks, lockfiles, editable Python…

Apache-2.0Auto-check passedDevelopment

Install Use Pixi

skills CLI
$ npx skills add moeru-ai/auv --skill use-pixi -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install moeru-ai/auv use-pixi --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/moeru-ai/auv.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/use-pixi .claude/skills/use-pixi && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
use-pixi
GitHub stars
100
Token cost
~1.3k tokens
SKILL.md length
639 words
Files
2
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when explaining, creating, or changing a Pixi workspace, including manifests, dependencies, platforms, targets, features, environments, tasks, lockfiles, editable Python…

  • Works in 4 steps: Run pixi --version, pixi info, and pixi… → Locate both pixi.toml and… → Read the selected manifest, its… → …
  • Changing a Pixi workspace
  • SKILL.md covers Inspect before editing, Choose the dependency owner, Understand the model and Make and verify changes, plus 3 more sections
  • Calls pip

What it does

Use Pixi is an agent skill from moeru-ai/auv. Use when explaining, creating, or changing a Pixi workspace, including manifests, dependencies, platforms, targets, features, environments, tasks, lockfiles, editable Python packages, CI commands, or IDE interpreter setup.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Development, covering Dependency management. It works with Python. The repository describes itself as: 📱🐭 No we are not computer use, it's Application Use Via... a unified orchestration layer of OS automation, 0 token cost. The licence is Apache-2.0.

When your agent uses it

  • Changing a Pixi workspace
  • Including manifests
  • Editable Python packages
  • IDE interpreter setup

Example prompts

  • “/use-pixi”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Run pixi --version, pixi info, and pixi task list when available.
  2. Locate both pixi.toml and pyproject.toml. Pixi discovers an explicit --manifest-path first, then a local pixi.toml, then a local…
  3. Read the selected manifest, its workspace.platforms, targets, features, environments, tasks, and editable path dependencies.
  4. Read pixi.lock when reproducibility or CI behavior matters. Do not hand-edit the lockfile.

What it can do on your machine

Read from SKILL.md and the folder at commit 4042350. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Use Pixi loads about 1.3k tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 639 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from moeru-ai/auv at commit 4042350, republished under its Apache-2.0 licence (© moeru-ai). 639 words, ~1,274 tokens.

Download SKILL.mdSave it as .claude/skills/use-pixi/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
use-pixi
description
Use when explaining, creating, or changing a Pixi workspace, including manifests, dependencies, platforms, targets, features, environments, tasks, lockfiles, editable Python packages, CI commands, or IDE interpreter setup.

Use Pixi

Use Pixi as the command and environment boundary for this repository.

Inspect before editing

  1. Run pixi --version, pixi info, and pixi task list when available.
  2. Locate both pixi.toml and pyproject.toml. Pixi discovers an explicit --manifest-path first, then a local pixi.toml, then a local pyproject.toml, then parent manifests. A sibling pixi.toml therefore wins over pyproject.toml.
  3. Read the selected manifest, its workspace.platforms, targets, features, environments, tasks, and editable path dependencies.
  4. Read pixi.lock when reproducibility or CI behavior matters. Do not hand-edit the lockfile.

Choose the dependency owner

  • Put Python itself and command-line/system packages supplied by conda-forge under Pixi dependencies.
  • Put Python distributions resolved from PyPI under pypi-dependencies or [project.dependencies], according to the repository's existing ownership boundary.
  • Represent a local Python project as { path = ".", editable = true } or another relative editable path in Pixi.
  • Use target.<platform> for dependencies limited to one supported platform.
  • Use a feature when a dependency set is optional and reusable; compose features into named environments.
  • Do not use bare pip install inside a Pixi-managed repository. Use pixi add, a manifest edit, and a new lock instead.

Understand the model

  • A workspace declares channels and every platform solved into pixi.lock.
  • A target narrows configuration to a platform such as linux-64, win-64, or osx-arm64.
  • A feature groups optional dependencies, tasks, activation, and targets.
  • An environment selects features and produces an installable prefix under .pixi/envs/ by default; named or detached configuration may select another prefix.
  • A task is a reproducible command executed inside an environment.
  • The lockfile records exact conda and PyPI resolutions for every declared platform.

Make and verify changes

Use the smallest applicable commands:

bash
pixi add PACKAGE
pixi add --pypi PACKAGE
pixi remove PACKAGE
pixi remove --pypi PACKAGE
pixi update PACKAGE
pixi install
pixi run TASK
pixi shell  # interactive use only
pixi task list
pixi lock --check

When adding or removing a dependency, use --feature FEATURE for a named feature and --platform PLATFORM for a platform-specific table. Combine the selectors only when both scopes apply.

For local, intentional manifest changes, run pixi lock, the relevant pixi run task, and pixi lock --check. Inspect the manifest diff and lockfile diff before reporting success.

Keep the lockfile immutable in CI:

bash
pixi install --locked
pixi run --locked TASK

--locked prevents lockfile updates; it does not make environment installation or task execution read-only. Inspect task definitions before running them in any no-write workflow.

CI must not run pixi lock, because that command mutates the lockfile.

Show full SKILL.md (273 more words)Show less

IDE boundary

Run pixi install before selecting an interpreter. In AUV, .pixi/envs/default only carries Ruff and ty; select the named environment that owns a package (under .pixi/envs/) as the VS Code python.defaultInterpreterPath folder when analyzing or debugging it. Locate named or detached environments using the prefix reported by pixi info --json, but never commit the returned absolute machine path. Documentation, automation, and terminal commands should use pixi run; Windows and POSIX interpreter paths differ.

Safeguards

  • Keep all declared platforms solvable; do not validate only the current host.
  • Do not add CUDA or another platform-only dependency to unconditional common dependencies.
  • Do not remove or regenerate unrelated environments.
  • Do not claim success until the lockfile is current and the requested task passes.

AUV workspace

  • Pixi is required only for Python or model work. Do not ask Rust, JavaScript, Protobuf, or documentation contributors to install it.
  • The root pixi.toml owns Python tooling; Rust, pnpm, and Buf keep their own toolchains. Never add them to pixi.toml.
  • Python package metadata owns runtime dependencies. Edit the package pyproject.toml, then run pixi lock.
  • Keep the default environment to Ruff and ty with no python, solvable on linux-64, osx-arm64, and win-64. Do not add a workspace-wide Python pin.
  • Give each Python package its own feature that pins python and its dependencies, and compose it into a named environment. Do not share a solve-group between packages that need different Python versions.
  • For a package on another Python version, add a directory ruff.toml that extends the root one with its own target-version, and run ty in that package's environment.
  • Run pixi run --locked check before handoff when Python files or Pixi metadata change.

© moeru-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in .agents/skills/use-pixi of moeru-ai/auv.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 4042350

Compare with similar skills

Use Pixi next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Use Pixi compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Use Pixi this skillmoeru-ai/auv100—~1.3kAutomated safety check: PassApache-2.0
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Senior Architect Toolkitmaslennikov-ig/claude-code-orchestrator-kit2608 repos~1.2kAutomated safety check: NotesCustom licence
Python Project Creatorhaddock-development/claude-reflect-system379—~1.4kAutomated safety check: NotesNone
Uv Package ManagerYikai-Liao/symusic18916 repos~4kAutomated safety check: NotesMIT
Next Python Stdlib Upgrade PickerRustPython/RustPython22k—~257Automated safety check: PassMIT

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Works with

Categories

Questions about Use Pixi

What does Use Pixi do?

A skill your agent uses when explaining, creating, or changing a Pixi workspace, including manifests, dependencies, platforms, targets, features, environments, tasks, lockfiles, editable Python…. Use Pixi is an agent skill from moeru-ai/auv. Use when explaining, creating, or changing a Pixi workspace, including manifests, dependencies, platforms, targets, features, environments, tasks, lockfiles, editable Python packages, CI commands, or IDE interpreter setup.

When should I use Use Pixi?

Use Pixi fits situations like: changing a Pixi workspace; including manifests; editable Python packages; IDE interpreter setup.

How do I install Use Pixi in Claude Code?

Run `npx skills add moeru-ai/auv --skill use-pixi -a claude-code`. Or copy the skill folder (.agents/skills/use-pixi in moeru-ai/auv) into .claude/skills/use-pixi in your project. Claude Code loads it when a task matches its description.

How do I install Use Pixi in Codex?

Run `npx skills add moeru-ai/auv --skill use-pixi -a codex`. Or copy the skill folder (.agents/skills/use-pixi in moeru-ai/auv) into .agents/skills/use-pixi in your project. Codex loads it when a task matches its description.

Can I use Use Pixi in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add moeru-ai/auv --skill use-pixi -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/use-pixi, .gemini/skills/use-pixi, .github/skills/use-pixi and .opencode/skills/use-pixi in your project.

What does Use Pixi need to run?

Going by SKILL.md and its folder, Use Pixi needs the command-line tools its instructions call (pip). Our summary lists: Python 3.

Does Use Pixi access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Use Pixi safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Use Pixi use?

Use Pixi is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Use Pixi use?

About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Use Pixi?

Skills that share tags, products or a category with Use Pixi: Merge Dependabot PRs (onyx-dot-app/onyx, 32k stars), Senior Architect Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), Python Project Creator (haddock-development/claude-reflect-system, 379 stars) and Uv Package Manager (Yikai-Liao/symusic, 189 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Use Pixi?

moeru-ai (a GitHub organization) maintains it in moeru-ai/auv, which has 100 GitHub stars. The repository was last updated on October 11, 2026.

Source: moeru-ai/auv on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.