Google Agents Cli Adk Code: Install, Source and Security | FunnelSlayer

Google Agents Cli Adk Code

Published by google in agents-cli

What this skill does

Guides an agent through Google ADK development in Python or Go, including finding recipes and checking project setup before writing code. It helps produce agents that follow ADK patterns and start from a properly scaffolded project. Best for Developers building Python or Go agents with Google's Agent Development Kit.

Add Google Agents Cli Adk Code to your agent

Review the source and files first. When you are ready, copy the prompt instruction or use the CLI command supported by your environment.

Install with a prompt

Paste this into a compatible coding agent:

add this skill "google-agents-cli-adk-code" from https://github.com/google/agents-cli

Install with the CLI

Run this command in a controlled environment after reviewing the repository:

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

Skill instructions

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.


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

Files included

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

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