google-agents-cli-adk-code

ADK Code Reference

Before using this skill, activate /google-agents-cli-workflow first — it contains the required development phases and scaffolding steps.

Prerequisites

1. Run agents-cli info — if it shows project config, skip to the reference below
2. If no project exists: run agents-cli scaffold create <name>
3. If user has existing code: run agents-cli scaffold enhance .

Do NOT write agent code until a project is scaffolded.

Python only for now. This reference currently covers the Python ADK SDK. Support for other languages is 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-flash-latest",
    instruction="You are a helpful assistant that ...",
    tools=[get_weather],
)

---

References

The first two are cheatsheets for common patterns; for broad or deep knowledge, go to the source (docs index or installed package).

Reference	When to read
references/adk-python.md	Core ADK API: Agent, tools, callbacks, plugins, state, artifacts, multi-agent systems, SequentialAgent / ParallelAgent / LoopAgent, custom BaseAgent, 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