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google-agents-cli-adk-code

google-agents-cli-adk-code

github.com/googleAgent workflows6.2k520.2k installsUpdated 1d ago
Repository

About google-agents-cli-adk-code

A reference skill for developers building agents with ADK in Python or Go. It directs users to relevant recipes and API guides, and requires scaffolding before code is written.

Key features

  1. 01Topic-indexed Python recipes
  2. 02Python and Go API references
  3. 03Guidance on project scaffolding
  4. 04Links to related development skills

Use cases

  1. 01Find an ADK recipe for a capability
  2. 02Check Python or Go API patterns
  3. 03Prepare a project before writing agent code

Install

Copy the command and run it in a terminal.

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

After installing, type/google-agents-cli-adk-codein Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
adk-go-workflows.md
adk-go.md
adk-python-live.md
adk-python-workflows.md
adk-python.md
samples.md

Details

From the project README

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> --agent adk --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.

ReferenceLanguageWhen to read
references/samples.mdPythonTopic-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.mdPythonCore 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.mdPythonGraph-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.mdPythonLive 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.mdGoCore 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.mdGoGraph-based Workflow API: nodes, edges, fan-out/fan-in, HITL, parallel processing. Use when you need explicit graph topology.
examples/GoRunnable upstream programs — the closest thing to a recipe catalog for Go.
curl https://adk.dev/llms.txtPythonDocs index (every page title + URL). Fetch it, then WebFetch the specific page for anything beyond the cheatsheets.
Installed ADK packagePythonExact 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

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