Agent skill

Adk Deployment Specialist

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

Deploy and orchestrate Vertex AI ADK agents using A2A protocol.

MITAuto-check passedDevOps & Cloud

Install Adk Deployment Specialist

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace adk-deployment-specialist --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-deployment-specialist .claude/skills/adk-deployment-specialist && 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-deployment-specialist
GitHub stars
2.8k
Token cost
~684 tokens
SKILL.md length
239 words
Files
9 (incl. scripts, references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Deploy and orchestrate Vertex AI ADK agents using A2A protocol.

  • Works in 6 steps: Confirm the desired architecture (single… → Define the AgentCard + A2A interfaces… → Implement the agent(s) with the minimum… → …
  • Asked to deploy ADK agent
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 3 more sections
  • Runs Shell and Python scripts from its folder

What it does

Adk Deployment Specialist is an agent skill from jeremylongshore/tons-of-skills-marketplace. Deploy and orchestrate Vertex AI ADK agents using A2A protocol. Manages AgentCard discovery, task submission, Code Execution Sandbox, and Memory Bank. Use when asked to "deploy ADK agent" or "orchestrate agents". Trigger with phrases like 'deploy', 'infrastructure', or 'CI/CD'.

Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `references/ARD.md`, `references/PRD.md` and `references/errors.md`). Compatibility notes: Designed for Claude Code

It sits in DevOps & Cloud, covering Deployment, Agent memory and CI/CD. It works with Vertex AI and Agent2Agent Protocol. 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

  • Asked to deploy ADK agent
  • Orchestrate agents
  • With phrases like deploy

Example prompts

  • “deploy ADK agent”
  • “orchestrate agents”
  • “deploy”
  • “/adk-deployment-specialist”

Requirements

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

Workflow steps

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

  1. Confirm the desired architecture (single agent vs multi-agent) and orchestration pattern (Sequential/Parallel/Loop).
  2. Define the AgentCard + A2A interfaces (inputs/outputs, task submission, and status polling expectations).
  3. Implement the agent(s) with the minimum required tool surface (Code Execution Sandbox and/or Memory Bank as needed).
  4. Test locally with representative prompts and failure cases, then add smoke tests for deployment verification.
  5. Deploy to Vertex AI Agent Engine and validate the generated endpoints (/.well-known/agent-card, task send/status APIs).
  6. Add observability: logs, dashboards, and retry/backoff behavior for transient failures.

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
    • Glob
    • Bash(cmd:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Shell and Python), which the agent can run.

    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):

    • cloud.google.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

    From compatibility in the SKILL.md frontmatter.

Context cost

Adk Deployment Specialist loads about 684 tokens when it runs, and up to ~7.8k if it reads all its reference files. Until then it costs about 76 tokens; SKILL.md has 239 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~684
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.8k

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 cfae287, republished under its MIT licence (© jeremylongshore). 239 words, ~684 tokens.

Download SKILL.mdSave it as .claude/skills/adk-deployment-specialist/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
adk-deployment-specialist
description
Deploy and orchestrate Vertex AI ADK agents using A2A protocol. Manages AgentCard discovery, task submission, Code Execution Sandbox, and Memory Bank. Use when asked to "deploy ADK agent" or "orchestrate agents". Trigger with phrases like 'deploy', 'infrastructure', or 'CI/CD'.
allowed-tools
Read, Write, Edit, Grep, Glob, Bash(cmd:*)
compatibility
Designed for Claude Code
version
2.29.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
effort
high
argument-hint
<agent-name or project-id>
tags
ai, deployment, ci-cd

Adk Deployment Specialist

Overview

Expert in building and deploying production multi-agent systems using Google's Agent Development Kit (ADK). Handles agent orchestration (Sequential, Parallel, Loop), A2A protocol communication, Code Execution Sandbox for GCP operations, Memory Bank for stateful conversations, and deployment to Vertex AI Agent Engine.

Prerequisites

  • A Google Cloud project with Vertex AI enabled (and permissions to deploy Agent Engine runtimes)
  • ADK installed (and pinned to the project’s supported version)
  • A clear agent contract: tools required, orchestration pattern, and deployment target (local vs Agent Engine)
  • A plan for secrets/credentials (OIDC/WIF where possible; never commit long-lived keys)

Instructions

  1. Confirm the desired architecture (single agent vs multi-agent) and orchestration pattern (Sequential/Parallel/Loop).
  2. Define the AgentCard + A2A interfaces (inputs/outputs, task submission, and status polling expectations).
  3. Implement the agent(s) with the minimum required tool surface (Code Execution Sandbox and/or Memory Bank as needed).
  4. Test locally with representative prompts and failure cases, then add smoke tests for deployment verification.
  5. Deploy to Vertex AI Agent Engine and validate the generated endpoints (/.well-known/agent-card, task send/status APIs).
  6. Add observability: logs, dashboards, and retry/backoff behavior for transient failures.

Output

  • Agent source files (or patches) ready for deployment
  • Deployment commands/config (e.g., vertexai.Client.agent_engines.create() invocation + required parameters)
  • A verification checklist for Agent Engine endpoints (AgentCard + task APIs) and security posture

Error Handling

See ${CLAUDE_SKILL_DIR}/references/errors.md for comprehensive error handling.

Examples

See ${CLAUDE_SKILL_DIR}/references/examples.md for detailed examples.

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 8 other files (scripts, references) in skills/.curated/adk-deployment-specialist of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/ARD.md
  • references/PRD.md
  • references/errors.md
  • references/examples.md
  • references/how-it-works.md
  • references/workflow-examples.md
  • scripts/deploy-agent.sh
  • scripts/test-a2a-protocol.py

Open the folder on GitHubat commit cfae287

Compare with similar skills

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Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit2606 repos~1.1kAutomated safety check: NotesCustom licence
AI News RadarLearnPrompt/ai-news-radar1.8k—~2.5kAutomated safety check: NotesMIT
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Prepare Cloudflare Production DeploymentLubomirGeorgiev/cloudflare-workers-nextjs-saas-template786—~5.9kAutomated safety check: NotesMIT

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Categories

Questions about Adk Deployment Specialist

What does Adk Deployment Specialist do?

Deploy and orchestrate Vertex AI ADK agents using A2A protocol. Adk Deployment Specialist is an agent skill from jeremylongshore/tons-of-skills-marketplace. Deploy and orchestrate Vertex AI ADK agents using A2A protocol.

When should I use Adk Deployment Specialist?

Adk Deployment Specialist fits situations like: asked to deploy ADK agent; orchestrate agents; with phrases like deploy.

How do I install Adk Deployment Specialist in Claude Code?

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

How do I install Adk Deployment Specialist in Codex?

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

Can I use Adk Deployment Specialist 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-deployment-specialist -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-deployment-specialist, .gemini/skills/adk-deployment-specialist, .github/skills/adk-deployment-specialist and .opencode/skills/adk-deployment-specialist in your project.

What does Adk Deployment Specialist need to run?

Going by SKILL.md and its folder, Adk Deployment Specialist needs a shell and Python for the scripts in its folder. Our summary lists: Python 3; A Bash shell. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash(cmd:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Adk Deployment Specialist access the network?

SKILL.md names 1 domain. As links in the text: cloud.google.com. This is read from the text; nothing was executed.

Is Adk Deployment Specialist 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 Adk Deployment Specialist use?

Adk Deployment Specialist 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 Deployment Specialist use?

About 684 tokens (SKILL.md is roughly 2.7k 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 7.1k tokens, read only when the agent opens those files.

What are the alternatives to Adk Deployment Specialist?

Skills that share tags, products or a category with Adk Deployment Specialist: Google Agents CLI Scaffold (pifferologo/cloud-agents-cli, 129 stars), Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), AI News Radar (LearnPrompt/ai-news-radar, 1.8k stars) and Use Vercel Action (amondnet/vercel-action, 764 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Adk Deployment Specialist?

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.