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Google ADK Project Scaffolder

Cloud / Infra

Scaffolds Google ADK agent projects with the right architecture and flags and produces a reasoned setup report.

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About the skill

Google ADK Project Scaffolder

Scaffolds a new agent project from scratch with the Google Agent Development Kit (ADK) agents-cli tool, or enriches an existing project with deployment, CI/CD, and infrastructure layers. It clarifies what kind of agent the user wants (RAG, A2A, standard ADK), the session storage, and the deployment target; then maps those choices to the correct agents-cli scaffold create / enhance / upgrade flags.

When to use it: When you say "start a new ADK project", "create an agent project", "add deployment/CI-CD to my project", or "upgrade my project". Separate skills exist for writing the agent code itself (google-agents-cli-adk-code) and for live deployment operations (google-agents-cli-deploy).

What it produces: A structured Markdown setup report containing the command to run, a reasoned flag mapping for the chosen architecture, the generated project directory tree, the mandatory datastore provisioning sequence for RAG, and the next steps. It recommends a "prototype-first" approach: iterate quickly first with --prototype, then add deployment later with enhance.

Critical rules are embedded: do not mkdir the project directory in advance, clear session_type for the agent_runtime target, do not change the model, do not choose the CI/CD runner and Git repository without asking the user. The output is a Turkish report; the commands and code blocks are kept in their original form.

How do I use this skill?

You don't "run" a skill — after installing it you just tell the agent your task (e.g. ask for the relevant job), and the skill kicks in by itself when its description matches.

Upload the google-agents-cli-scaffold.zip you downloaded as-is — no packaging needed, the format is already correct (folder at root).

  1. Open Settings → Customize → Skills
  2. Upload → select the google-agents-cli-scaffold.zip you downloaded
  3. Claude reads SKILL.md; the name + description appear. Ready ✅

Scripts run in Anthropic's code-execution environment (sandbox) — not on your machine.