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name: google-agents-cli-adk-code description: > 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" — in a project that needs ADK (Agent Development Kit) API patterns and code examples. It provides a quick reference for agent types, tool definitions, orchestration patterns, callbacks, state management, the graph Workflow API, and reference recipes to study. Do NOT use for scaffolding (use google-agents-cli-scaffold) or deployment (use google-agents-cli-deploy). metadata: author: Google license: Apache-2.0 version: 1.7.0 requires: bins: - agents-cli install: "uv tool install google-agents-cli"

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/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.

Go — read the upstream 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> — add --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.

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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/samples.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/ | 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