Google Agents Cli Adk Code

OrganizationPopular

google

google-agents-cli-adk-code

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).

Overview

Publisher	google
Repository	`agents-cli`
Skill name	`google-agents-cli-adk-code`
Stars	6K
Forks	664
Bundled files	5
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
5 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by google on GitHub. Read the source before you install it.

Installation

Install the Google Agents Cli Adk Code AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/google/agents-cli.git /tmp/agents-cli
mkdir -p .claude/skills
cp -r /tmp/agents-cli/skills/google-agents-cli-adk-code .claude/skills/google-agents-cli-adk-code

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Google Agents Cli Adk Code in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Google Agents Cli Adk Code on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Google Agents Cli Adk Code is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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.

Verify project: run agents-cli info (proceed if config exists).
New project: run agents-cli scaffold create <name> — add --agent adk_go for 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-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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Google Agents Cli Adk Code AI skill do?

Why use Google Agents Cli Adk Code on TypingMind?

Because you install it once and use it with any model. Google Agents Cli Adk Code is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Google Agents Cli Adk Code in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/google/agents-cli/tree/main/skills/google-agents-cli-adk-code. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Google Agents Cli Adk Code?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Google Agents Cli Adk Code?

As many as you like. As long as a model supports skills, you can use Google Agents Cli Adk Code with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Google Agents Cli Adk Code AI skill free?

Yes. It is published on GitHub by google under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

ADK Code Reference

1. Study Recipes (No Project Needed)

2. Prerequisites for Writing Code

Quick Reference — Most Common Patterns

References

Related Skills

Bundled files

Frequently asked questions

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