Agent skill

Google Adk Python

by majiayu000 in majiayu000/claude-skill-registry

Build AI agents with Google ADK Python. An agent skill from majiayu000/claude-skill-registry.

Apache-2.0Auto-check passedAgent Workflows

Install Google Adk Python

skills CLI
$ npx skills add majiayu000/claude-skill-registry --skill google-adk-python -a claude-code

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

GitHub CLI
$ gh skill install majiayu000/claude-skill-registry google-adk-python --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/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent/google-adk-python-nammdev-goads-krea .claude/skills/google-adk-python && 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
google-adk-python
GitHub stars
666
Used in
1 other repo
Token cost
~1.2k tokens
SKILL.md length
340 words
Files
2
Skills in repo
1,273
Repo updated
First seen
Licence
Apache-2.0

At a glance

Build AI agents with Google ADK Python. An agent skill from majiayu000/claude-skill-registry.

  • Works in 7 steps: Code-first — define agents in Python for… → Agent convention — always use root_agent… → Modular agents — specialize per domain,… → …
  • Tasks that involve MCP servers
  • SKILL.md covers When to Activate, Agent Structure Convention…, Quick Start and App Pattern (Production), plus 7 more sections
  • Calls pip and uv

What it does

Google Adk Python is an agent skill from majiayu000/claude-skill-registry. Build AI agents with Google ADK Python. Multi-agent systems, A2A protocol, MCP tools, workflow agents, state/memory, callbacks/plugins, Vertex AI deployment, evaluation.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).

It sits in Agent Workflows, covering MCP servers. It works with Python, Agent2Agent Protocol and Vertex AI. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve MCP servers

Example prompts

  • “/google-adk-python”

Requirements

  • Python 3

Workflow steps

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

  1. Code-first — define agents in Python for version control and testing
  2. Agent convention — always use root_agent or app variable in agent.py
  3. Modular agents — specialize per domain, compose via sub_agents
  4. Workflow selection — workflow agents for predictable, LlmAgent for dynamic
  5. State — ToolContext.state for ephemeral, MemoryService for long-term
  6. Safety — callbacks for guardrails, tool confirmation for sensitive ops
  7. Evaluate — test with adk eval + evalset JSON before deployment

What it can do on your machine

Read from SKILL.md and the folder at commit 2d14a69. 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
    • uv

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

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com
    • google.github.io
    • raw.githubusercontent.com

    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

Google Adk Python loads about 1.2k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 340 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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 majiayu000/claude-skill-registry at commit 2d14a69, republished under its Apache-2.0 licence (© majiayu000). 340 words, ~1,207 tokens.

Download SKILL.mdSave it as .claude/skills/google-adk-python/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
google-adk-python
description
Build AI agents with Google ADK Python. Multi-agent systems, A2A protocol, MCP tools, workflow agents, state/memory, callbacks/plugins, Vertex AI deployment, evaluation.
license
Apache-2.0
version
2.0.0

Google ADK Python Skill

Expert guide for Google's Agent Development Kit (ADK) Python — open-source, code-first toolkit for building, evaluating, and deploying AI agents. Optimized for Gemini, model-agnostic by design.

When to Activate

  • Build single or multi-agent systems with tool integration
  • Implement A2A protocol for remote agent communication
  • Integrate MCP servers as agent tools
  • Use workflow agents (sequential, parallel, loop) for pipelines
  • Manage sessions, state, memory, and artifacts
  • Add callbacks, plugins, or observability hooks
  • Deploy to Cloud Run, Vertex AI Agent Engine, or GKE
  • Evaluate agents with adk eval framework

Agent Structure Convention (Required)

my_agent/
├── __init__.py   # MUST: from . import agent
└── agent.py      # MUST: root_agent = Agent(...) OR app = App(...)

Quick Start

bash
pip install google-adk          # stable (weekly releases)
uv sync --all-extras            # dev setup (uv required, Python 3.10+, 3.11+ recommended)
python
from google.adk import Agent

root_agent = Agent(
    name="assistant",
    model="gemini-2.5-flash",
    instruction="You are a helpful assistant.",
    description="General assistant agent.",
    tools=[get_weather],
)

App Pattern (Production)

python
from google.adk import Agent
from google.adk.apps import App
from google.adk.apps.app import EventsCompactionConfig
from google.adk.plugins.save_files_as_artifacts_plugin import SaveFilesAsArtifactsPlugin

app = App(
    name="my_app",
    root_agent=Agent(name="my_agent", model="gemini-2.5-flash", ...),
    plugins=[SaveFilesAsArtifactsPlugin()],
    events_compaction_config=EventsCompactionConfig(compaction_interval=2),
)

Use App when needing plugins, event compaction, or custom lifecycle management.

CLI Tools

CommandPurpose
adk web <agents_dir>Dev UI (recommended for development)
adk run <agent_dir>Interactive CLI testing
adk api_server <agents_dir>FastAPI production server
adk eval <agent> <evalset.json>Run evaluation suite

Agent Types

TypeUse Case
Agent / LlmAgentDynamic routing, tool use, reasoning
SequentialAgentFixed-order pipeline
ParallelAgentConcurrent execution
LoopAgentIterative processing
RemoteA2aAgentRemote agent via A2A protocol

Key APIs

FeatureAPI
Statetool_context.state[key] = value
Artifactstool_context.save_artifact(name, part)
Callbacksbefore_agent_callback, after_model_callback, etc.
MCP ToolsMCPToolset(connection_params=StdioConnectionParams(...))
Sub-agentsAgent(..., sub_agents=[agent1, agent2])
Human-in-loopLongRunningFunctionTool(func=my_func)
PluginsApp(..., plugins=[MyPlugin()])

Model Support

Latest: gemini-2.5-flash (default), gemini-2.5-pro, gemini-2.0-flash (sunsets Mar 2026) Preview: gemini-3-flash-preview, gemini-3-pro-preview Also: Anthropic Claude, Ollama, LiteLLM, vLLM, Model Garden

Best Practices

  1. Code-first — define agents in Python for version control and testing
  2. Agent convention — always use root_agent or app variable in agent.py
  3. Modular agents — specialize per domain, compose via sub_agents
  4. Workflow selection — workflow agents for predictable, LlmAgent for dynamic
  5. State — ToolContext.state for ephemeral, MemoryService for long-term
  6. Safety — callbacks for guardrails, tool confirmation for sensitive ops
  7. Evaluate — test with adk eval + evalset JSON before deployment

References

Detailed guides (load as needed):

  • references/agent-types-and-architecture.md — Agent types, workflows, custom agents
  • references/tools-and-mcp-integration.md — Custom tools, MCP, tool filtering
  • references/multi-agent-and-a2a-protocol.md — Sub-agents, A2A, coordinator patterns
  • references/sessions-state-memory-artifacts.md — State, artifacts, sessions, memory
  • references/callbacks-plugins-observability.md — Lifecycle hooks, plugins, tracing
  • references/evaluation-testing-cli.md — adk eval, CLI, evalset format
  • references/deployment-cloud-run-vertex-gke.md — Cloud Run, Vertex AI, GKE

External Resources

© majiayu000, 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 skills/agent/google-adk-python-nammdev-goads-krea of majiayu000/claude-skill-registry.

  • SKILL.md
  • metadata.json

Open the folder on GitHubat commit 2d14a69

Used in 1 other repository

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Google Adk Python 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.

Google Adk Python compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Google Adk Python this skillmajiayu000/claude-skill-registry6661 repos~1.2kAutomated safety check: PassApache-2.0
Vertex Engine Inspectorjeremylongshore/tons-of-skills-marketplace2.8k—~1.7kAutomated safety check: PassMIT
MCP Server Builderanthropics/skills180k64 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k5 repos~1.2kAutomated safety check: PassMIT
Fastmcp Client CLIPrefectHQ/fastmcp28k1 repos~823Automated safety check: PassApache-2.0
MemPalace Setup and OperationMemPalace/mempalace59k—~2.2kAutomated safety check: PassMIT

Similar skills

  • Vertex Engine Inspector

    jeremylongshore/tons-of-skills-marketplace

    Inspect and validate Vertex AI Agent Engine deployments including Code Execution Sandbox, Memory Bank, A2A protocol compliance, and security posture.

    2.8k GitHub stars~1.7k tokensUpdated today
    DevOps & CloudAuto-check passed
  • MCP Server Builder

    anthropics/skills

    Official

    Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.

    180k GitHub starsUsed in 64 repos~2.3k tokens
    Agent WorkflowsAuto-check passed
  • MCP Server Builder

    shareAI-lab/learn-claude-code

    Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.

    78k GitHub starsUsed in 5 repos~1.2k tokens
    Agent WorkflowsAuto-check passed
  • Fastmcp Client CLI

    PrefectHQ/fastmcp

    Query and invoke tools on MCP servers using fastmcp list and fastmcp call.

    28k GitHub starsUsed in 1 repo~823 tokens
    Agent WorkflowsAuto-check passed
  • Installs and configures MemPalace as a private local palace, a shared-brain hub or a client of an existing hub, including MCP registration and version-correct initialization.

    59k GitHub stars~2.2k tokensUpdated today
    Agent WorkflowsAuto-check passed
  • Fastmcp

    Tommy-yw/RunbookHermes

    Build, test, inspect, install, and deploy MCP servers with FastMCP in Python.

    546 GitHub starsUsed in 4 repos~2.1k tokens
    Agent WorkflowsAuto-check passed

More from majiayu000/claude-skill-registry

All 1,273 skills in this repo
  • Deep Research

    majiayu000/claude-skill-registry

    Multi-source deep research using firecrawl and exa MCPs. An agent skill from majiayu000/claude-skill-registry.

    666 GitHub starsUsed in 6 repos~1.1k tokens
    Auto-check passed
  • Exa Search

    majiayu000/claude-skill-registry

    Neural search via Exa MCP for web, code, and company research.

    666 GitHub starsUsed in 5 repos~856 tokens
    Auto-check passed
  • Fal AI Media

    majiayu000/claude-skill-registry

    Unified media generation via fal.ai MCP — image, video, and audio.

    666 GitHub starsUsed in 5 repos~1.7k tokens
    Auto-check passed
  • Pyzotero

    majiayu000/claude-skill-registry

    Interact with Zotero reference management libraries using the pyzotero Python client.

    666 GitHub starsUsed in 5 repos~1.6k tokens
    Auto-check: notes
  • Bgpt Paper Search

    majiayu000/claude-skill-registry

    Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server.

    666 GitHub starsUsed in 4 repos~619 tokens
    Auto-check: notes
  • Bio Alignment Pairwise

    majiayu000/claude-skill-registry

    Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner.

    666 GitHub starsUsed in 4 repos~1.7k tokens
    Auto-check passed

Categories

Questions about Google Adk Python

What does Google Adk Python do?

Build AI agents with Google ADK Python. An agent skill from majiayu000/claude-skill-registry. Google Adk Python is an agent skill from majiayu000/claude-skill-registry. Build AI agents with Google ADK Python.

When should I use Google Adk Python?

Google Adk Python fits situations like: tasks that involve MCP servers.

How do I install Google Adk Python in Claude Code?

Run `npx skills add majiayu000/claude-skill-registry --skill google-adk-python -a claude-code`. Or copy the skill folder (skills/agent/google-adk-python-nammdev-goads-krea in majiayu000/claude-skill-registry) into .claude/skills/google-adk-python in your project. Claude Code loads it when a task matches its description.

How do I install Google Adk Python in Codex?

Run `npx skills add majiayu000/claude-skill-registry --skill google-adk-python -a codex`. Or copy the skill folder (skills/agent/google-adk-python-nammdev-goads-krea in majiayu000/claude-skill-registry) into .agents/skills/google-adk-python in your project. Codex loads it when a task matches its description.

Can I use Google Adk Python 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 majiayu000/claude-skill-registry --skill google-adk-python -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/google-adk-python, .gemini/skills/google-adk-python, .github/skills/google-adk-python and .opencode/skills/google-adk-python in your project.

What does Google Adk Python need to run?

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

Does Google Adk Python access the network?

SKILL.md names 3 domains. As links in the text: github.com, google.github.io and raw.githubusercontent.com. This is read from the text; nothing was executed.

Is Google Adk Python 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 Google Adk Python use?

Google Adk Python is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Google Adk Python use?

About 1.2k tokens (SKILL.md is roughly 4.8k 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 Google Adk Python?

Skills that share tags, products or a category with Google Adk Python: Vertex Engine Inspector (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars) and Fastmcp Client CLI (PrefectHQ/fastmcp, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Google Adk Python?

majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.

Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.