Name: google-agents-cli-adk-code
Author: google

This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management", or needs ADK (Agent Development Kit) Python API patterns and code examples. Part of the Google ADK skills suite. It provides a

ADK Code Reference Activate /google agents cli workflow first for required development phases and scaffolding steps. 1. Study Recipes (No Project Needed) Python — read the topic index in references/recipes.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. Go — read the upstream [ examples/ ](https://github.com/google/adk go/tree/main/examples). clone the repo and read the one matching the capability you need before implementing it. 2. Prerequisites for Writing Code Do NOT write agent code until a project is scaffolded. 1. Verify project: run agents cli info (proceed if config exists). 2. New project: run agents cli scaffold create <name agent adk python deployment target <target — use agent adk go for Go. 3. Existing code: run agents cli scaffold enhance . . Quick Reference — Most Common Patterns See references/adk python.md and references/adk go.md for Python and Go code examples, respectively. References Use the cheatsheets for common patterns. For deep knowledge, fetch the docs index or inspect the installed package. Reference Language When to read references/recipes.md Python 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 Python 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 python workflows.md Python Graph based Workflow API (ADK Python 2.0): nodes, edges, fan out/fan in, HITL, parallel processing. Use when you need explicit graph topology. references/adk python live.md Python Live and voice agents: Runner.run live , LiveRequestQueue , model and regional availability, voice/ speech config , VAD, session limits, /run live serving. Use for real time voice or video agents. references/adk go.md Go Core ADK Go API: llmagent , tools, callbacks, plugins, state, artifacts, multi agent systems, sequential/parallel/loop agents, custom agents, the runner, serving over HTTP, A2A protocol, and ambient triggers. Default for most agents. references/adk go workflows.md Go Graph based Workflow API: nodes, edges, fan out/fan in, HITL, parallel processing. Use when you need explicit graph topology. [ examples/ ](https://github.com/google/adk go/tree/main/examples) Go Runnable upstream programs — the closest thing to a recipe catalog for Go. curl https://adk.dev/llms.txt Python Docs index (every page title + URL). Fetch it, then WebFetch the specific page for anything beyond the cheatsheets. Installed ADK package Python 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