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Agent skill

Adk Agent Builder

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Scaffold production-ready AI agents on Google's Agent Development Kit (ADK): ReAct-style single agents, multi-agent orchestration (Sequential/Parallel/Loop), tool wiring, evaluation, and optional…

MITAuto-check passedDevelopment

Install Adk Agent Builder

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill adk-agent-builder -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace adk-agent-builder --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/adk-agent-builder .claude/skills/adk-agent-builder && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
adk-agent-builder
GitHub stars
2.8k
Token cost
~960 tokens
SKILL.md length
364 words
Files
6 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Scaffold production-ready AI agents on Google's Agent Development Kit (ADK): ReAct-style single agents, multi-agent orchestration (Sequential/Parallel/Loop), tool wiring, evaluation, and optional…

  • Works in 6 steps: Confirm scope: local-only agent scaffold… → Choose an architecture → Define the tool surface (built-in ADK… → …
  • Deploying ADK agents on Google Cloud
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Adk Agent Builder is an agent skill from jeremylongshore/tons-of-skills-marketplace. Scaffold production-ready AI agents on Google's Agent Development Kit (ADK): ReAct-style single agents, multi-agent orchestration (Sequential/Parallel/Loop), tool wiring, evaluation, and optional Vertex AI Agent Engine deployment. Use when building, scaffolding, or deploying ADK agents on Google Cloud, or when wiring ADK tools and orchestration patterns. Trigger with "build an ADK agent", "scaffold an agent on ADK", or "deploy to Agent Engine".

Its SKILL.md is about 960 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `ARD.md`, `PRD.md` and `references/errors.md`). Compatibility notes: Designed for Claude Code

It sits in Development, covering Building AI agents, Project scaffolding and Multi-agent orchestration. It works with Vertex AI, React and Google Cloud. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Deploying ADK agents on Google Cloud
  • Wiring ADK tools and orchestration patterns
  • With build an ADK agent
  • Scaffold an agent on ADK

Example prompts

  • “build an ADK agent”
  • “scaffold an agent on ADK”
  • “deploy to Agent Engine”
  • “/adk-agent-builder”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Bash(cmd:*)

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Confirm scope: local-only agent scaffold vs Vertex AI Agent Engine deployment.
  2. Choose an architecture
  3. Define the tool surface (built-in ADK tools + any custom tools you need) and required credentials.
  4. Scaffold the project
  5. Implement the minimum viable agent and a smoke test prompt; add regression tests for tool failures.
  6. If deploying, produce an adk deploy ... command and a post-deploy validation checklist (AgentCard/task endpoints, permissions, logs).

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Grep
    • Bash(cmd:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Adk Agent Builder loads about 960 tokens when it runs, and up to ~3.9k if it reads all its reference files. Until then it costs about 117 tokens; SKILL.md has 364 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~117
When it runs · the whole SKILL.md, loaded when a task matches
~960
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 364 words, ~960 tokens.

Download SKILL.mdSave it as .claude/skills/adk-agent-builder/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
adk-agent-builder
description
Scaffold production-ready AI agents on Google's Agent Development Kit (ADK): ReAct-style single agents, multi-agent orchestration (Sequential/Parallel/Loop), tool wiring, evaluation, and optional Vertex AI Agent Engine deployment. Use when building, scaffolding, or deploying ADK agents on Google Cloud, or when wiring ADK tools and orchestration patterns. Trigger with "build an ADK agent", "scaffold an agent on ADK", or "deploy to Agent Engine".
allowed-tools
Read, Write, Edit, Grep, Bash(cmd:*)
compatibility
Designed for Claude Code
version
2.2.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
google-adk, react, adk-agent

ADK Agent Builder

Build production-ready agents with Google’s Agent Development Kit (ADK): scaffolding, tool wiring, orchestration patterns, testing, and optional deployment to Vertex AI Agent Engine.

Overview

  • Creates a minimal, production-oriented ADK scaffold (agent entrypoint, tool registry, config, and tests).
  • Supports single-agent ReAct-style workflows and multi-agent orchestration (Sequential/Parallel/Loop).
  • Produces a validation checklist suitable for CI (lint/tests/smoke prompts) and optional Agent Engine deployment verification.

Prerequisites

  • Python runtime compatible with your project (often Python 3.10+)
  • google-adk installed and importable
  • If deploying: access to a Google Cloud project with Vertex AI enabled and permissions to deploy Agent Engine runtimes
  • Secrets available via environment variables or a secret manager (never hardcoded)

Instructions

  1. Confirm scope: local-only agent scaffold vs Vertex AI Agent Engine deployment.
  2. Choose an architecture:
    • Single agent (ReAct) for adaptive tool-driven tasks
    • Multi-agent system (specialists + orchestrator) for complex, multi-step workflows
  3. Define the tool surface (built-in ADK tools + any custom tools you need) and required credentials.
  4. Scaffold the project:
    • src/agents/, src/tools/, tests/, and a dependency file (pyproject.toml or requirements.txt)
  5. Implement the minimum viable agent and a smoke test prompt; add regression tests for tool failures.
  6. If deploying, produce an adk deploy ... command and a post-deploy validation checklist (AgentCard/task endpoints, permissions, logs).
Show full SKILL.md (161 more words)Show less

Output

  • A repo-ready ADK scaffold (files and directories) plus starter agent code
  • Tool stubs and wiring points (where to add new tools safely)
  • A test + validation plan (unit tests and a minimal smoke prompt)
  • Optional: deployment commands and verification steps for Agent Engine

Error Handling

  • Dependency/runtime issues: provide pinned install commands and validate imports.
  • Auth/permission failures: identify the missing role/API and propose least-privilege fixes.
  • Tool failures/rate limits: add retries/backoff guidance and a regression test to prevent recurrence.

Examples

Example: Scaffold a single ReAct agent

  • Request: “Create an ADK agent that summarizes PRs and proposes test updates.”
  • Result: agent entrypoint + tool registry + a smoke test command for local verification.

Example: Multi-agent orchestrator

  • Request: “Build a supervisor + deployer + verifier team and deploy to Agent Engine.”
  • Result: orchestrator skeleton, per-agent responsibilities, and adk deploy ... + post-deploy health checks.

Resources

  • Implementation patterns (scaffolds, tool wiring, orchestration): ${CLAUDE_SKILL_DIR}/references/implementation.md
  • Worked examples (single-agent + multi-agent): ${CLAUDE_SKILL_DIR}/references/examples.md
  • Error-handling and recovery patterns: ${CLAUDE_SKILL_DIR}/references/errors.md
  • Product / architecture context: ${CLAUDE_SKILL_DIR}/PRD.md, ${CLAUDE_SKILL_DIR}/ARD.md
  • ADK / Agent Engine docs:

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (references) in skills/.curated/adk-agent-builder of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • ARD.md
  • PRD.md
  • references/errors.md
  • references/examples.md
  • references/implementation.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Adk Agent Builder next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Adk Agent Builder compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Adk Agent Builder this skilljeremylongshore/tons-of-skills-marketplace2.8k—~960Automated safety check: PassMIT
Google Agents CLI Scaffoldpifferologo/cloud-agents-cli1291 repos~2.9kAutomated safety check: NotesApache-2.0
Agent App CreatorCraftOS-dev/CraftBot392—~4.8kAutomated safety check: PassMIT
Google Agents CLI Adk Codepifferologo/cloud-agents-cli1291 repos~768Automated safety check: PassApache-2.0
Omnigent Agent Builderomnigent-ai/omnigent11k—~2.1kAutomated safety check: PassApache-2.0
Google Agents CLI Workflowpifferologo/cloud-agents-cli1291 repos~5.6kAutomated safety check: NotesApache-2.0

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Works with

Categories

Questions about Adk Agent Builder

What does Adk Agent Builder do?

Scaffold production-ready AI agents on Google's Agent Development Kit (ADK): ReAct-style single agents, multi-agent orchestration (Sequential/Parallel/Loop), tool wiring, evaluation, and optional…. Adk Agent Builder is an agent skill from jeremylongshore/tons-of-skills-marketplace. Scaffold production-ready AI agents on Google's Agent Development Kit (ADK): ReAct-style single agents, multi-agent orchestration (Sequential/Parallel/Loop), tool wiring, evaluation, and optional Vertex AI Agent Engine deployment.

When should I use Adk Agent Builder?

Adk Agent Builder fits situations like: deploying ADK agents on Google Cloud; wiring ADK tools and orchestration patterns; with build an ADK agent; scaffold an agent on ADK.

How do I install Adk Agent Builder in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill adk-agent-builder -a claude-code`. Or copy the skill folder (skills/.curated/adk-agent-builder in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/adk-agent-builder in your project. Claude Code loads it when a task matches its description.

How do I install Adk Agent Builder in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill adk-agent-builder -a codex`. Or copy the skill folder (skills/.curated/adk-agent-builder in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/adk-agent-builder in your project. Codex loads it when a task matches its description.

Can I use Adk Agent Builder in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill adk-agent-builder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/adk-agent-builder, .gemini/skills/adk-agent-builder, .github/skills/adk-agent-builder and .opencode/skills/adk-agent-builder in your project.

What does Adk Agent Builder need to run?

SKILL.md names no scripts, command-line tools or credentials: Adk Agent Builder is instructions for the agent only. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Bash(cmd:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Adk Agent Builder access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Adk Agent Builder safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Adk Agent Builder use?

Adk Agent Builder is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Adk Agent Builder use?

About 960 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.9k tokens, read only when the agent opens those files.

What are the alternatives to Adk Agent Builder?

Skills that share tags, products or a category with Adk Agent Builder: Google Agents CLI Scaffold (pifferologo/cloud-agents-cli, 129 stars), Agent App Creator (CraftOS-dev/CraftBot, 392 stars), Google Agents CLI Adk Code (pifferologo/cloud-agents-cli, 129 stars) and Omnigent Agent Builder (omnigent-ai/omnigent, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Adk Agent Builder?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.