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Official agent skill

Adk Setup

by google in google/adk-python

Sets up a local ADK Python development environment in a git clone of the open-source adk-python repository: a uv virtual environment, all dependency extras, pre-commit hooks, and a first unit-test…

OfficialApache-2.0Auto-check: notesDevelopment

Install Adk Setup

skills CLI
$ npx skills add google/adk-python --skill adk-setup -a claude-code

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

GitHub CLI
$ gh skill install google/adk-python adk-setup --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/google/adk-python.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/adk-setup .claude/skills/adk-setup && 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
adk-setup
GitHub stars
22k
Token cost
~993 tokens
SKILL.md length
313 words
Files
1
Skills in repo
13
Repo updated
First seen
Licence
Apache-2.0

At a glance

Sets up a local ADK Python development environment in a git clone of the open-source adk-python repository: a uv virtual environment, all dependency extras, pre-commit hooks, and a first unit-test…

  • Works in 2 steps: Python. ADK supports 3.11 through 3.14… → uv. Dependencies are declared in…
  • Asked to set up
  • SKILL.md covers Prerequisites, Setup and Key commands
  • Calls uv, pytest and python3; reaches astral.sh

What it does

Adk Setup is an agent skill from google/adk-python, published by the product's own GitHub organization. Sets up a local ADK Python development environment in a git clone of the open-source adk-python repository: a uv virtual environment, all dependency extras, pre-commit hooks, and a first unit-test run. Runs only when explicitly requested, never on its own. Use when asked to set up, bootstrap, or repair a development checkout, install project dependencies, fix a missing or broken .venv, or prepare a machine for contributing a pull request. Don't use for debugging a running agent (use adk-debug), for commit and…

Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Unit testing, Linting and formatting and Pull requests. It works with Python, Git and pytest. The repository describes itself as: An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control. The licence is Apache-2.0.

When your agent uses it

  • Asked to set up
  • Repair a development checkout
  • Install project dependencies
  • Prepare a machine for contributing a pull request

Example prompts

  • “/adk-setup”

Requirements

  • Python 3

Workflow steps

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

  1. Python. ADK supports 3.11 through 3.14 (requires-python = ">=3.11" in
  2. uv. Dependencies are declared in pyproject.toml. The uv sync step

What it can do on your machine

Read from SKILL.md and the folder at commit 666c26d. 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:

    • uv
    • pytest
    • python3
    • curl
    • sh
    • go

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • astral.sh

    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

Adk Setup loads about 993 tokens when it runs. Until then it costs about 165 tokens; SKILL.md has 313 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~165
When it runs · the whole SKILL.md, loaded when a task matches
~993

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePipes a well-known installer script into a shellSKILL.md:42
    curl -LsSf https://astral.sh/uv/install.sh | sh

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 google/adk-python at commit 666c26d, republished under its Apache-2.0 licence (© google). 313 words, ~993 tokens.

Download SKILL.mdSave it as .claude/skills/adk-setup/SKILL.md (or your agent's skills folder).
name
adk-setup
description
Sets up a local ADK Python development environment in a git clone of the open-source adk-python repository: a uv virtual environment, all dependency extras, pre-commit hooks, and a first unit-test run. Runs only when explicitly requested, never on its own. Use when asked to set up, bootstrap, or repair a development checkout, install project dependencies, fix a missing or broken .venv, or prepare a machine for contributing a pull request. Don't use for debugging a running agent (use adk-debug), for commit and pull-request mechanics (use adk-git), or for re-running formatters on a checkout that is already set up (pre-commit run --all-files).
disable-model-invocation
true

ADK Python Development Setup

Set up a working adk-python checkout: a uv-managed virtual environment with every dependency extra, pre-commit hooks, and a green unit-test run.

Prerequisites

  1. Python. ADK supports 3.11 through 3.14 (requires-python = ">=3.11" in pyproject.toml). These steps use 3.11, the version the repo's own tooling defaults to.

    bash
    python3 --version

  2. uv. Dependencies are declared in pyproject.toml. The uv sync step below creates a local uv.lock, which this repository ignores. Run that step before tox, whose lock runner requires the file.

    bash
    uv --version

    Install it if missing:

    bash
    curl -LsSf https://astral.sh/uv/install.sh | sh

Setup

Run these from the repository root.

  1. Create and activate the virtual environment:

    bash
    uv venv --python "python3.11" ".venv"
source .venv/bin/activate

  2. Install every dependency extra:

    bash
    uv sync --all-extras

    --all-extras is what pulls in the test and dev extras. Syncing only the default dependencies leaves pytest and the linters uninstalled.

  3. Install pre-commit and tox as standalone tools:

    bash
    uv tool install pre-commit
uv tool install tox --with tox-uv

    Both are also in the dev extra; installing them as uv tools puts them on PATH so the git hook and multi-version test runs work without an activated venv.

  4. Install addlicense (optional, requires Go):

    bash
    go install github.com/google/addlicense@latest

    Without it the pre-commit hook prints Warning: addlicense not installed, skipping and passes, so a missing Go toolchain does not block setup — CI catches missing license headers instead.

  5. Install the git hooks:

    bash
    pre-commit install

    On each commit the hooks auto-format with isort, pyink, and mdformat, then run ruff, addlicense, codespell, and the repo's own compliance checks.

  6. Verify the environment:

    bash
    pytest tests/unittests -n auto

    A green run here is the success criterion for setup. -n auto needs pytest-xdist, which arrives with the test extra in step 2.

Show full SKILL.md (64 more words)Show less

Key commands

TaskCommand
Run unit testspytest tests/unittests
Run unit tests in parallelpytest tests/unittests -n auto
Run one test filepytest tests/unittests/agents/test_base_agent.py
Run tests on every supported Pythontox (uv downloads any missing interpreters)
Format and lint everythingpre-commit run --all-files
Launch the web UIadk web {agents_dir}
Run an agent from the CLIadk run {agent_dir}
Build the wheeluv build

© google, 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

Just SKILL.md in .agents/skills/adk-setup of google/adk-python.

Open the folder on GitHubat commit 666c26d

Compare with similar skills

Adk Setup 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.

Adk Setup compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Adk Setup this skillgoogle/adk-python22k—~993Automated safety check: NotesApache-2.0
Kedro Babysitkedro-org/kedro11k—~4kAutomated safety check: PassCustom licence
Modern Pythonantoinebou12/uml-mcp105—~1kAutomated safety check: PassMIT
Flowfile Debugging PlaybookEdwardvaneechoud/Flowfile370—~6.3kAutomated safety check: PassMIT
Specx Project Toolingmaksimzayats/specx202—~965Automated safety check: PassMIT
Pythonalinaqi/maggy707—~1.1kAutomated safety check: PassMIT

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Works with

Categories

Questions about Adk Setup

What does Adk Setup do?

Sets up a local ADK Python development environment in a git clone of the open-source adk-python repository: a uv virtual environment, all dependency extras, pre-commit hooks, and a first unit-test…. Adk Setup is an agent skill from google/adk-python, published by the product's own GitHub organization. Sets up a local ADK Python development environment in a git clone of the open-source adk-python repository: a uv virtual environment, all dependency extras, pre-commit hooks, and a first unit-test run.

When should I use Adk Setup?

Adk Setup fits situations like: asked to set up; repair a development checkout; install project dependencies; prepare a machine for contributing a pull request.

How do I install Adk Setup in Claude Code?

Run `npx skills add google/adk-python --skill adk-setup -a claude-code`. Or copy the skill folder (.agents/skills/adk-setup in google/adk-python) into .claude/skills/adk-setup in your project. Claude Code loads it when a task matches its description.

How do I install Adk Setup in Codex?

Run `npx skills add google/adk-python --skill adk-setup -a codex`. Or copy the skill folder (.agents/skills/adk-setup in google/adk-python) into .agents/skills/adk-setup in your project. Codex loads it when a task matches its description.

Can I use Adk Setup 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 google/adk-python --skill adk-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/adk-setup, .gemini/skills/adk-setup, .github/skills/adk-setup and .opencode/skills/adk-setup in your project.

What does Adk Setup need to run?

Going by SKILL.md and its folder, Adk Setup needs the command-line tools its instructions call (uv, pytest, python3, curl, sh and go). Our summary lists: Python 3.

Does Adk Setup access the network?

SKILL.md names 1 domain. In commands or code: astral.sh; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Adk Setup safe to install?

Our automated static check of SKILL.md found notes only (pipes a well-known installer script into a shell), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Adk Setup use?

Adk Setup 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 Adk Setup use?

About 993 tokens (SKILL.md is roughly 4k 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 Adk Setup?

Skills that share tags, products or a category with Adk Setup: Kedro Babysit (kedro-org/kedro, 11k stars), Modern Python (antoinebou12/uml-mcp, 105 stars), Flowfile Debugging Playbook (Edwardvaneechoud/Flowfile, 370 stars) and Specx Project Tooling (maksimzayats/specx, 202 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Adk Setup?

google (a GitHub organization, an official publisher) maintains it in google/adk-python, which has 21,729 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 7, 2026.

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