Agent skill · google
google-agents-cli-scaffold
This skill should be used when the user wants to "create an agent project", "start a new ADK project", "build me a new agent", "add CI/CD to my project", "add deployment", "enhance my project", or "upgrade my project". Part of the agents-cli skills suite. Covers `agents-cli scaffold create`, `scaffold enhance`, and `scaffold upgrade` commands, template options, deployment targets, and the prototype-first workflow. Do NOT use for writing agent code (ADK projects: use google-agents-cli-adk-code) or deployment operations (use google-agents-cli-deploy).
What it needs
About 6k tokens when loaded.
What this skill does
Project Scaffolding Guide Requires: agents-cli (uv tool install google-agents-cli) — install uv first if needed. Use the agents-cli CLI to create new agent projects or enhance existing ones with deployment, CI/CD, and infrastructure scaffolding. --- Prerequisite: Clarify Requirements (MANDATORY for new projects) Before scaffolding a new project, load /google-agents-cli-workflow and complete Phase 0 — clarify the user's requirements before running any scaffold create command. Ask what the agent should do, what tools/APIs it needs, and whether they want a prototype or full deployment. --- Step 1: Choose Architecture Mapping user choices to CLI flags: Choice CLI flag -------- ---------- Retrieval/RAG, sandboxed execution, cross-session memory, OAuth consent, guardrails, scheduled runs No flag — these come from clone-and-study recipes. ADK: see the topic index in /google-agents-cli-adk-code → references/samples.md; on other frameworks, see the sample index the framework template ships A2A protocol built into the scaffolded app — scaffold normally (ADK: --agent adk, the default) Prototype (no deployment) --prototype Deployment target --deployment-target <agentruntime\ cloudrun\ gke> CI/CD runner --cicd-runner <githubactions\ googlecloudbuild> Session storage --session-type <inmemory\ cloudsql\ agentplatformsessions> Product name mapping Older names → CLI values (vertexai SDK package name unchanged): Agent Engine / Vertex AI Agent Engine → --deployment-target agentruntime Agent Engine sessions / Agent Platform Sessions → --session-type agentplatformsessions Vertex AI Search / Vertex AI Vector Search / RAG → clone-and-study recipe, not a flag Removed flags. --datastore, the agenticrag template, and agents-cli infra datastore / agents-cli data-ingestion no longer exist. If you reach for one, you want a recipe instead. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills google/google-agents-cli-scaffold--8a6b23