ADK Code Reference
SkillAI & modelsThis skill turns your coding assistant into an expert at building AI agents on Google Cloud. Once added, it can help you create agents, check how well they work, and deploy them to Google Cloud. It includes Google's agents command line tool to support that work.
Use ADK Code Reference in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add ADK Code Reference and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the ADK Code Reference skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
After adding it, ask your coding assistant to build and test a first agent, then deploy it to Google Cloud. The underlying project lives at github.com/google/agents-cli.
What your AI can do with it
- Create AI agents with expert-level guidance
- Evaluate agents to see how well they perform
- Deploy finished agents to Google Cloud
- Work with Google's agents command line tool
What this skill tells your AI
The instructions your AI receives, as published by google/agents-cli in skills/google-agents-cli-adk-code/SKILL.md and read by Ahel’s review.
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.
- Verify project: run
agents-cli info(proceed if config exists). - New project: run
agents-cli scaffold create <name>— add--agent adk_gofor Go. - 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/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 withagents-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
Signals
- GitHub stars
- 6k
- Forks
- 687
- Last commit
- Sep 2026
- Installs
- 481k installs
Ahel review
K1binfo
installs-packages (in references/adk-python.md)
Automated review, not a security audit. Ruleset v1+k2.
Others that do the same job
Advanced
- Item type
- skill
- Key
google-agents-cli-adk-code- Source
- github.com/google/agents-cli