A2ui Python Development
a2ui-project/a2ui
Grounding, architectural standards, Python best practices, package facade conventions, testing, and verification workflows for developing any Python code across the entire A2UI repository (core…
Creates a new sample agent in the ADK Python repository — the sample directory, its agent.py, and its README.md — following the conventions the existing samples already use.
$ npx skills add google/adk-python --skill adk-sample-creator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install google/adk-python adk-sample-creator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/google/adk-python.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/adk-sample-creator .claude/skills/adk-sample-creator && rm -rf skills-srcUse ~/.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/
Install the "adk-sample-creator" agent skill from https://github.com/google/adk-python/tree/main/.agents/skills/adk-sample-creator into .claude/skills/adk-sample-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adk-sample-creator", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/google/adk-python/tree/main/.agents/skills/adk-sample-creatorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add google/adk-python --skill adk-sample-creator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install google/adk-python adk-sample-creator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google/adk-python.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/adk-sample-creator .agents/skills/adk-sample-creator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "adk-sample-creator" agent skill from https://github.com/google/adk-python/tree/main/.agents/skills/adk-sample-creator into .agents/skills/adk-sample-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adk-sample-creator", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add google/adk-python --skill adk-sample-creator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install google/adk-python adk-sample-creator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google/adk-python.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/adk-sample-creator .cursor/skills/adk-sample-creator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "adk-sample-creator" agent skill from https://github.com/google/adk-python/tree/main/.agents/skills/adk-sample-creator into .cursor/skills/adk-sample-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adk-sample-creator", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/google/adk-python.git --path .agents/skills/adk-sample-creator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add google/adk-python --skill adk-sample-creator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install google/adk-python adk-sample-creator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google/adk-python.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/adk-sample-creator .gemini/skills/adk-sample-creator && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "adk-sample-creator" agent skill from https://github.com/google/adk-python/tree/main/.agents/skills/adk-sample-creator into .gemini/skills/adk-sample-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adk-sample-creator", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install google/adk-python adk-sample-creatorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add google/adk-python --skill adk-sample-creator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/google/adk-python.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/adk-sample-creator .github/skills/adk-sample-creator && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "adk-sample-creator" agent skill from https://github.com/google/adk-python/tree/main/.agents/skills/adk-sample-creator into .github/skills/adk-sample-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adk-sample-creator", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add google/adk-python --skill adk-sample-creator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install google/adk-python adk-sample-creator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google/adk-python.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/adk-sample-creator .opencode/skills/adk-sample-creator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "adk-sample-creator" agent skill from https://github.com/google/adk-python/tree/main/.agents/skills/adk-sample-creator into .opencode/skills/adk-sample-creator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adk-sample-creator", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
adk-sample-creatorCreates a new sample agent in the ADK Python repository — the sample directory, its agent.py, and its README.md — following the conventions the existing samples already use.
Adk Sample Creator is an agent skill from google/adk-python, published by the product's own GitHub organization. Creates a new sample agent in the ADK Python repository — the sample directory, its agent.py, and its README.md — following the conventions the existing samples already use. Use when the user wants to add a sample or example demonstrating a feature or agent pattern (dynamic nodes, fan-out/fan-in, a standalone tool-using agent), asks where a new sample belongs under contributing/samples/, or wants an existing sample's README brought up to the standard structure. Don't use for building a real working agent for the…
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, including reference files (for example `references/readme-template.md`).
It sits in Development, covering Technical documentation and Building AI agents. It works with Python. 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.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 666c26d. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python and bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Adk Sample Creator loads about 1.3k tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 171 tokens; SKILL.md has 462 words of instructions outside code blocks.
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.
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.
The full file from google/adk-python at commit 666c26d, republished under its Apache-2.0 licence (© google). 462 words, ~1,323 tokens.
.claude/skills/adk-sample-creator/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Creates samples under contributing/samples/. These are deliberately minimal
agents that each exercise one or two features — distinct from the adk-samples
repository, which hosts full end-to-end applications.
Read the adk-style skill first for ADK 2.0 conventions if you have not
already.
Almost every sample lives at
contributing/samples/{category}/{sample_name}/. List the categories and
confirm with the user which one the sample belongs in before creating
anything — a workflow sample landing outside workflows/ is the usual mistake.
ls contributing/samples/Categories include workflows, patterns, core, multi_agent, tools,
models, live, mcp, a2a, evaluation, and plugins. A handful of
samples nest one level further when a single feature needs several variants, as
plugins/plugin_reflect_tool_retry/basic/ does.
Name the sample directory in snake_case after the feature it demonstrates:
dynamic_nodes, fan_out_fan_in, streaming_tool_events.
Do not add an _agent suffix, and do not repeat the category as a prefix —
every sample is an agent, and the category is already in the path. Many existing
directories still carry both; do not copy them.
agent.pyContents of a sample directory:
| File | Required | Purpose |
|---|---|---|
agent.py | yes | The agent or workflow. Must expose root_agent. |
README.md | yes | See readme-template.md. |
__init__.py | sometimes | Present when the sample is imported as a package. |
tests/*.json | no | Recorded sessions used as eval sets. |
Use absolute imports so the file can be run and imported directly.
Do not set model= on Agent instances. Samples inherit the
system-configured model, which keeps them working when the default model
changes; hardcoding model="gemini-2.5-flash" pins the sample to a model that
will be retired. Set it only when the user explicitly asks for a specific model.
Then pick one of the two shapes.
Use when the sample needs multiple nodes, routing, or parallel execution.
from google.adk import Agent
from google.adk import Context
from google.adk import Event
from google.adk import Workflow
from google.adk.workflow import JoinNode
from google.adk.workflow import nodeImport Workflow from google.adk, not from a private
google.adk.workflow._* module.
my_agent = Agent(name="my_agent", instruction="...")
@node()
async def my_node(node_input: str) -> str:
return "result"
root_agent = Workflow(
name="root_agent",
edges=[("START", my_node)],
)A plain function can be used as a node directly in edges; reach for the
@node(...) decorator when you need one of its options, such as
rerun_on_resume=True for a node that calls ctx.run_node.
Use when there is no graph and the agent drives its own loop.
from google.adk import Agent
from google.adk.tools import google_search
root_agent = Agent(
name="standalone_assistant",
instruction="You are a helpful assistant.",
description="An assistant that can help with queries.",
tools=[google_search],
)README.mdFollow readme-template.md — section order,
prompt formatting, the Mermaid topology rules, and the relative link depth for
docs/guides/.
Read these two before writing a new Pattern A sample — one dynamic graph, one static one.
contributing/samples/workflows/dynamic_nodes/agent.py — a Python node
driving a while loop with ctx.run_node, so the number of agent calls is
decided at runtime rather than by the edges.
@node(rerun_on_resume=True)
async def orchestrate(ctx: Context, node_input: str) -> str:
yield Event(state={"topic": node_input})
while True:
headline = await ctx.run_node(generate_headline)
# ...contributing/samples/workflows/fan_out_fan_in/agent.py — three functions
run in parallel from START, collected by a JoinNode, then aggregated.
join_node = JoinNode(name="join_for_results")
root_agent = Workflow(
name="root_agent",
edges=[(
"START",
(make_uppercase, count_characters, reverse_string),
join_node,
aggregate,
)],
)© 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
SKILL.md and 1 other file (references) in .agents/skills/adk-sample-creator of google/adk-python.
Open the folder on GitHubat commit 666c26d
Adk Sample Creator 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Adk Sample Creator this skillgoogle/adk-python | 22k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| A2ui Python Developmenta2ui-project/a2ui | 17k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Glossarylightly-ai/lightly-studio | 896 | — | ~482 | Automated safety check: Pass | Apache-2.0 | |
| Docstring Deep Divealbumentations-team/AlbumentationsX | 566 | — | ~534 | Automated safety check: Pass | AGPL-3.0 | |
| Swarmauri Add Community Standaloneswarmauri/swarmauri-sdk | 104 | — | ~387 | Automated safety check: Pass | Apache-2.0 | |
| Phoenix Docs Gap AuditArize-ai/phoenix | 12k | — | ~4.8k | Automated safety check: Pass | Custom licence |
a2ui-project/a2ui
Grounding, architectural standards, Python best practices, package facade conventions, testing, and verification workflows for developing any Python code across the entire A2UI repository (core…
lightly-ai/lightly-studio
Read when naming anything user-facing - GUI text, docs, public Python API names, arguments, docstrings, or error messages.
albumentations-team/AlbumentationsX
Review public AlbumentationsX docstrings for useful descriptions, runnable examples, parameter semantics, and related transforms.
swarmauri/swarmauri-sdk
Add a second-class standalone Swarmauri package under pkgs/community.
Arize-ai/phoenix
Audit documentation gaps across the Phoenix repo by analyzing recent commits to main (default: last 7 days).
swarmauri/swarmauri-sdk
Add an experimental standalone Swarmauri package under pkgs/experimental.
google/adk-python
Checks that every Python code block in a Markdown file actually compiles and runs, by extracting each block to a temporary file, executing it in an isolated subprocess, and writing a pass/fail…
google/adk-python
Writes a hands-on developer guide for one ADK code unit — a minimal runnable example, how it works, a configuration-option table, advanced uses, limitations, and links to related samples — to…
google/adk-python
Writes commit messages and pull request descriptions for the adk-python repository: Conventional Commits types and scopes, subject lines that say why a change was made, and the linked-issue and…
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…
google/adk-python
Builds ADK (Agent Development Kit) Python agents: LLM agents with tools, graph workflows of function and agent nodes, conditional routing, fan-out and join, schema-validated delegation between…
google/adk-python
Explains how the ADK runtime fits together: the node and graph execution model, Context and Event flow, checkpoint and resume, tracing, and the rules governing the public API surface.
Works with
Creates a new sample agent in the ADK Python repository — the sample directory, its agent.py, and its README.md — following the conventions the existing samples already use. Adk Sample Creator is an agent skill from google/adk-python, published by the product's own GitHub organization.md — following the conventions the existing samples already use.
Adk Sample Creator fits situations like: the user wants to add a sample; example demonstrating a feature; agent pattern (dynamic nodes; A standalone tool-using agent).
Run `npx skills add google/adk-python --skill adk-sample-creator -a claude-code`. Or copy the skill folder (.agents/skills/adk-sample-creator in google/adk-python) into .claude/skills/adk-sample-creator in your project. Claude Code loads it when a task matches its description.
Run `npx skills add google/adk-python --skill adk-sample-creator -a codex`. Or copy the skill folder (.agents/skills/adk-sample-creator in google/adk-python) into .agents/skills/adk-sample-creator in your project. Codex loads it when a task matches its description.
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-sample-creator -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-sample-creator, .gemini/skills/adk-sample-creator, .github/skills/adk-sample-creator and .opencode/skills/adk-sample-creator in your project.
SKILL.md names no scripts, command-line tools or credentials: Adk Sample Creator is instructions for the agent only. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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.
Adk Sample Creator 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.
About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 497 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Adk Sample Creator: A2ui Python Development (a2ui-project/a2ui, 17k stars), Glossary (lightly-ai/lightly-studio, 896 stars), Docstring Deep Dive (albumentations-team/AlbumentationsX, 566 stars) and Swarmauri Add Community Standalone (swarmauri/swarmauri-sdk, 104 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.