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Agent skill

Google Cloud Agent SDK Master

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

Build, evaluate, deploy, publish, or modernize Google ADK agent applications with Google's maintained agents-cli workflow.

MITAuto-check passedAI & LLM Engineering

Install Google Cloud Agent SDK Master

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill google-cloud-agent-sdk-master -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace google-cloud-agent-sdk-master --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/google-cloud-agent-sdk-master .claude/skills/google-cloud-agent-sdk-master && 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
google-cloud-agent-sdk-master
GitHub stars
2.8k
Token cost
~1.4k tokens
SKILL.md length
582 words
Files
5 (incl. scripts, references, assets)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Build, evaluate, deploy, publish, or modernize Google ADK agent applications with Google's maintained agents-cli workflow.

  • Works in 8 steps: Classify the request as build, enhance,… → Inspect the local repository before… → Verify current CLI syntax from the… → …
  • A request mentions Google Agent Development Kit
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 3 more sections
  • Calls uvx

What it does

Google Cloud Agent SDK Master is an agent skill from jeremylongshore/tons-of-skills-marketplace. Build, evaluate, deploy, publish, or modernize Google ADK agent applications with Google's maintained agents-cli workflow. Use when a request mentions Google Agent Development Kit, agents-cli, Gemini Enterprise Agent Platform, Agent Runtime, Cloud Run or GKE agent deployment, or migration from Agent Starter Pack. For Claude Code agents/.md definitions, use agent-creator instead. Trigger with "build a Google ADK agent", "deploy this ADK app", or "migrate Agent Starter Pack".

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts, reference files and assets (for example `assets/README.md`, `references/README.md` and `references/SKILL.full.md`). Compatibility notes: Designed for Claude Code and other Agent Skills clients; commands require Python 3.11+, uv, and Node.js

It sits in AI & LLM Engineering, covering Building AI agents and Deployment. It works with Google Cloud, Cloud Run and Google Kubernetes Engine. 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

  • A request mentions Google Agent Development Kit
  • Gemini Enterprise Agent Platform
  • GKE agent deployment
  • Migration from Agent Starter Pack

Example prompts

  • “build a Google ADK agent”
  • “deploy this ADK app”
  • “migrate Agent Starter Pack”
  • “/google-cloud-agent-sdk-master”

Requirements

  • Python 3
  • Node.js
  • Compatibility (from SKILL.md): Designed for Claude Code and other Agent Skills clients; commands require Python 3.11+, uv, and Node.js
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, WebFetch, WebSearch

Workflow steps

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

  1. Classify the request as build, enhance, evaluate, deploy, publish, observe, or
  2. Inspect the local repository before proposing changes. Preserve working agent
  3. Verify current CLI syntax from the installed command or official docs. Start
  4. For implementation guidance, define the ADK agent, tools, state, callbacks,
  5. Validate locally with the generated project's own commands. Current
  6. For deployment, distinguish Agent Runtime, Cloud Run, and GKE. Inspect
  7. For Gemini Enterprise registration, use the current `publish
  8. For Agent Starter Pack projects, follow Google's migration guide. Do not

What it can do on your machine

Read from SKILL.md and the folder at commit 80f86df. 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
    • Glob
    • Grep
    • WebFetch
    • WebSearch

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/, which the agent can run.

    Shell commands in SKILL.md call:

    • uvx

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

  • Network

    Links to these hosts (documentation or services it may open):

    • google.github.io
    • github.com

    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 and other Agent Skills clients; commands require Python 3.11+, uv, and Node.js

    From compatibility in the SKILL.md frontmatter.

Context cost

Google Cloud Agent SDK Master loads about 1.4k tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 127 tokens; SKILL.md has 582 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~127
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.1k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit 80f86df, republished under its MIT licence (© jeremylongshore). 582 words, ~1,443 tokens.

Download SKILL.mdSave it as .claude/skills/google-cloud-agent-sdk-master/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
google-cloud-agent-sdk-master
description
Build, evaluate, deploy, publish, or modernize Google ADK agent applications with Google's maintained agents-cli workflow. Use when a request mentions Google Agent Development Kit, agents-cli, Gemini Enterprise Agent Platform, Agent Runtime, Cloud Run or GKE agent deployment, or migration from Agent Starter Pack. For Claude Code agents/*.md definitions, use agent-creator instead. Trigger with "build a Google ADK agent", "deploy this ADK app", or "migrate Agent Starter Pack".
allowed-tools
Read, Glob, Grep, WebFetch, WebSearch
compatibility
Designed for Claude Code and other Agent Skills clients; commands require Python 3.11+, uv, and Node.js
argument-hint
<build|enhance|evaluate|deploy|publish|migrate> [project-path]
version
2.26.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
google-cloud, adk, agents-cli, agent-platform
model
inherit
effort
high

Google Cloud ADK Application Workflow

Overview

Guide a Google ADK application through its current lifecycle: inspect, scaffold, run, evaluate, deploy, publish, and observe. Prefer Google's actively maintained agents-cli. Agent Starter Pack is in maintenance mode and should be treated as a migration source, not the default for new work.

This skill creates Google-hosted agent applications. It does not create Claude Code subagent definition files; route those requests to agent-creator.

Prerequisites

  • Identify whether the target is new, an existing ADK app, or an Agent Starter Pack project that needs migration.
  • Confirm the local project path and read its instructions.
  • For current-version questions, use WebFetch on official Google documentation or WebSearch restricted to official Google domains.
  • For existing code, use Glob, Grep, and Read to establish its actual framework, configuration, tests, and deployment lane before recommending work.
  • Do not require Google Cloud for local development; AI Studio credentials may support a local-only workflow. Cloud deployment does require a Google project.

Instructions

  1. Classify the request as build, enhance, evaluate, deploy, publish, observe, or migrate. State which lifecycle stage is in scope.

  2. Inspect the local repository before proposing changes. Preserve working agent code, evaluation datasets, Terraform, and CI/CD during migrations.

  3. Verify current CLI syntax from the installed command or official docs. Start from these maintained entry points:

    bash
    uvx google-agents-cli setup
agents-cli create PROJECT_NAME
agents-cli scaffold enhance
agents-cli scaffold upgrade

  4. For implementation guidance, define the ADK agent, tools, state, callbacks, error contracts, and tests before selecting infrastructure. Use the detailed lifecycle reference for current command families.

  5. Validate locally with the generated project's own commands. Current agents-cli releases expose install, lint, run, and the eval command group. Do not claim success without the actual command receipt.

  6. For deployment, distinguish Agent Runtime, Cloud Run, and GKE. Inspect agents-cli deploy --help for the installed version and present project, region, identity, secrets, APIs, quotas, and rollback before any mutation.

  7. For Gemini Enterprise registration, use the current publish gemini-enterprise workflow and require a separate approval.

  8. For Agent Starter Pack projects, follow Google's migration guide. Do not recreate removed templates or old Makefile commands.

Show full SKILL.md (243 more words)Show less

Output

  • Lifecycle stage and selected architecture
  • Source evidence: inspected files and official documentation version/date
  • Exact commands proposed or run
  • Tool, state, authentication, and secret contracts
  • Verification results from lint, smoke tests, evaluations, and deployment checks
  • Remaining risks, costs to verify, and the next approval boundary

Error Handling

FailureResponse
Request is for a Claude Code subagent fileRoute to agent-creator; do not scaffold a Google app
CLI syntax conflicts with this skillTrust installed --help and current official docs, then report the drift
Agent Starter Pack command is encounteredTreat it as legacy and use the migration guide
Authentication is absentKeep work local; explain the needed login or credential without handling secrets
Region, runtime, or feature is unavailableCite the failed target and offer a documented supported alternative
Evaluation or smoke test failsStop before deployment and preserve the failing receipt
Pricing is requestedLink current Google pricing; do not repeat cached fixed prices

Examples

  • "Create a new Google ADK support agent." Inspect prerequisites, propose agents-cli create, define the tool and evaluation contract, and wait before scaffolding.
  • "Modernize this Agent Starter Pack project." Inventory the project, follow the official migration path, preserve code and infrastructure, then run the upgraded verification lane.
  • "Deploy this ADK app." Verify local tests and evals, compare supported runtimes, show the exact deployment plan, and wait for approval.

Resources

© 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 4 other files (scripts, references, assets) in skills/.curated/google-cloud-agent-sdk-master of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • assets/README.md
  • references/README.md
  • references/SKILL.full.md
  • scripts/README.md

Open the folder on GitHubat commit 80f86df

Compare with similar skills

Google Cloud Agent SDK Master 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.

Google Cloud Agent SDK Master compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Google Cloud Agent SDK Master this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.4kAutomated safety check: PassMIT
Google Cloud Solution Guided Gke AI Migrationgoogle/skills21k—~8.3kAutomated safety check: PassApache-2.0
Google Agents CLI Publishpifferologo/cloud-agents-cli1291 repos~2.4kAutomated safety check: PassApache-2.0
DeployingGoogleCloudPlatform/race-condition234—~3kAutomated safety check: PassCustom licence
Ak Inityaalalabs/agent-kernel192—~2.8kAutomated safety check: PassApache-2.0
Google AdkMindrally/skills269—~2.5kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Google Cloud Agent SDK Master

What does Google Cloud Agent SDK Master do?

Build, evaluate, deploy, publish, or modernize Google ADK agent applications with Google's maintained agents-cli workflow. Google Cloud Agent SDK Master is an agent skill from jeremylongshore/tons-of-skills-marketplace. Build, evaluate, deploy, publish, or modernize Google ADK agent applications with Google's maintained agents-cli workflow.

When should I use Google Cloud Agent SDK Master?

Google Cloud Agent SDK Master fits situations like: A request mentions Google Agent Development Kit; gemini Enterprise Agent Platform; GKE agent deployment; migration from Agent Starter Pack.

How do I install Google Cloud Agent SDK Master in Claude Code?

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

How do I install Google Cloud Agent SDK Master in Codex?

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

Can I use Google Cloud Agent SDK Master 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 google-cloud-agent-sdk-master -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/google-cloud-agent-sdk-master, .gemini/skills/google-cloud-agent-sdk-master, .github/skills/google-cloud-agent-sdk-master and .opencode/skills/google-cloud-agent-sdk-master in your project.

What does Google Cloud Agent SDK Master need to run?

Going by SKILL.md and its folder, Google Cloud Agent SDK Master needs the command-line tools its instructions call (uvx). Our summary lists: Python 3; Node.js. Its frontmatter pre-approves these tools: Read, Glob, Grep, WebFetch, WebSearch. Compatibility (from SKILL.md): Designed for Claude Code and other Agent Skills clients; commands require Python 3.11+, uv, and Node.js.

Does Google Cloud Agent SDK Master access the network?

SKILL.md names 2 domains. As links in the text: google.github.io and github.com. This is read from the text; nothing was executed.

Is Google Cloud Agent SDK Master 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Google Cloud Agent SDK Master use?

Google Cloud Agent SDK Master 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 Google Cloud Agent SDK Master use?

About 1.4k tokens (SKILL.md is roughly 5.8k 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 1.6k tokens, read only when the agent opens those files.

What are the alternatives to Google Cloud Agent SDK Master?

Skills that share tags, products or a category with Google Cloud Agent SDK Master: Google Cloud Solution Guided Gke AI Migration (google/skills, 21k stars), Google Agents CLI Publish (pifferologo/cloud-agents-cli, 129 stars), Deploying (GoogleCloudPlatform/race-condition, 234 stars) and Ak Init (yaalalabs/agent-kernel, 192 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Google Cloud Agent SDK Master?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,825 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 9, 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.