google-agents-cli-adk-code

作者： google

当用户想要“编写智能体代码”、“使用ADK构建智能体”、“添加工具”、“创建回调”、“定义智能体”、“使用状态管理”，或需要ADK（智能体开发工具包）Python API模式和代码示例时，应使用此技能。属于Google ADK技能套件的一部分。它提供智能体类型、工具定义、编排模式、回调和状态管理的快速参考。请勿用于创建新项目（应使用google-agents-cli-scaffold）或部署...

npx skills add https://github.com/google/agents-cli --skill google-agents-cli-adk-code

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ADK Code Reference

Activate /google-agents-cli-workflow first for required development phases and scaffolding steps.

1. Study Recipes (No Project Needed)

Read the topic index in references/samples.md before answering "how do I build X". Worked implementations exist for: sandboxed/per-user code execution, agent-loadable SKILL.md skills, cross-session memory, approval gates before risky actions, tool guardrails, per-user credentials, and scheduled/event-driven runs.

The index only gives you a name; the recipe is the code. Clone it and read its AGENTS.md before you implement anything it covers. Hand-writing a Docker or E2B sandbox wrapper, a skill loader, a moderation callback or a memory store — for a capability the index lists — means you stopped at the name.

2. Prerequisites for Writing Code

Do NOT write agent code until a project is scaffolded.

Verify project: run agents-cli info (proceed if config exists).
New project: run agents-cli scaffold create <name>.
Existing code: run agents-cli scaffold enhance ..

Language Support: This reference covers the Python ADK SDK. Support for other languages coming soon.

Quick Reference — Most Common Patterns

from google.adk.agents import Agent

def get_weather(city: str) -> dict:
    """Get current weather for a city."""
    return {"city": city, "temp": "22°C", "condition": "sunny"}

root_agent = Agent(
    name="my_agent",
    model="gemini-3.7-flash",
    instruction="You are a helpful assistant that ...",
    tools=[get_weather],
)

References

Use cheatsheets for common patterns. For deep knowledge, fetch the docs index or inspect the installed package.

Reference	When to read
`references/samples.md`	Topic-indexed catalog of ADK reference recipes. Read in workflow Phase 1 — before scaffolding and before writing code — maps a capability to the recipe that implements it.
`references/adk-python.md`	Core ADK API: `Agent`, tools, callbacks, plugins, state, artifacts, multi-agent systems, `SequentialAgent` / `ParallelAgent` / `LoopAgent`, custom `BaseAgent`, `ManagedAgent` (server-hosted first-party agents), A2A protocol, A2UI. Default for most agents.
`references/adk-workflows.md`	Graph-based Workflow API (ADK 2.0): nodes, edges, fan-out/fan-in, HITL, parallel processing. Use when you need explicit graph topology.
`curl https://adk.dev/llms.txt`	Docs index (every page title + URL). Fetch it, then `WebFetch` the specific page for anything beyond the cheatsheets.
Installed ADK package	Exact signatures and symbols — inspect the source (see "Inspecting ADK Source Code" in `references/adk-python.md`).

Related Skills

/google-agents-cli-workflow — Development workflow, coding guidelines, and operational rules
/google-agents-cli-scaffold — Project creation and enhancement with agents-cli scaffold create / scaffold enhance
/google-agents-cli-eval — Evaluation methodology, dataset schema, and the eval-fix loop
/google-agents-cli-deploy — Deployment targets, CI/CD pipelines, and production workflows