By Dexploarer
Scaffold, develop, evaluate, and deploy AI agents with Google ADK. Bundles 7 skills for the agent development lifecycle.
This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management", or needs ADK (Agent Development Kit) Python API patterns and code examples. Part of the Google ADK skills suite. It provides a quick reference for agent types, tool definitions, orchestration patterns, callbacks, and state management. Do NOT use for creating new projects (use google-agents-cli-scaffold) or deployment (use google-agents-cli-deploy).
This skill should be used when the user wants to "deploy an agent", "deploy my ADK agent", "set up CI/CD", "configure secrets", "troubleshoot a deployment", or needs guidance on Agent Runtime, Cloud Run, or GKE deployment targets. Covers deployment workflows, service accounts, rollback, and production infrastructure. Part of the Google ADK (Agent Development Kit) skills suite. Do NOT use for API code patterns (use google-agents-cli-adk-code), evaluation (use google-agents-cli-eval), or project scaffolding (use google-agents-cli-scaffold).
This skill should be used when the user wants to "run an evaluation", "evaluate my ADK agent", "write an evalset", "debug eval scores", "compare eval results", or needs guidance on ADK (Agent Development Kit) evaluation methodology and the eval-fix loop. Covers eval metrics, evalset schema, LLM-as-judge, tool trajectory scoring, and common failure causes. Part of the Google ADK (Agent Development Kit) skills suite. Do NOT use for API code patterns (use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).
This skill should be used when the user wants to "set up tracing", "monitor my ADK agent", "configure logging", "add observability", "debug production traffic", or needs guidance on monitoring deployed ADK (Agent Development Kit) agents. Covers Cloud Trace, prompt-response logging, BigQuery Agent Analytics, third-party integrations (AgentOps, Phoenix, MLflow, etc.), and troubleshooting. Part of the Google ADK (Agent Development Kit) skills suite. Do NOT use for deployment setup (use google-agents-cli-deploy) or API code patterns (use google-agents-cli-adk-code).
This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini Enterprise", "publish to Gemini Enterprise", or needs guidance on the agents-cli publish gemini-enterprise command. Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, and troubleshooting. Part of the Google ADK (Agent Development Kit) skills suite. Do NOT use for deployment (use google-agents-cli-deploy).
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agents-cliThe CLI and skills for building agents on Gemini Enterprise Agent Platform.
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Turn your favorite coding assistant into an expert at building and deploying agents on Google Cloud.
Agents CLI in Agent Platform (agents-cli) gives your coding agent the skills and commands to build, scale, govern, and optimize enterprise-grade agents — so you don't have to learn every CLI and service yourself.
Works seamlessly with: Gemini CLI • Claude Code • Codex • Antigravity • and any other coding agent.
Prerequisites: Python 3.11+, uv, and Node.js.
uvx google-agents-cli setup
npx skills add google/agents-cli
Launch Gemini CLI, Claude Code, Codex, or any coding agent you prefer.
Ask your coding agent to build something — e.g. "Use agents-cli to build a caveman-style agent that compresses verbose text into terse, technical grunts"
See the full tutorial for a step-by-step walkthrough.
Browse the full documentation →
| Skill | What your coding agent learns |
|---|---|
google-agents-cli-workflow | Development lifecycle, code preservation rules, model selection |
google-agents-cli-adk-code | ADK Python API — agents, tools, orchestration, callbacks, state |
google-agents-cli-scaffold | Project scaffolding — create, enhance, upgrade |
google-agents-cli-eval | Evaluation methodology — metrics, evalsets, LLM-as-judge, trajectory scoring |
google-agents-cli-deploy | Deployment — Agent Runtime, Cloud Run, GKE, CI/CD, secrets |
google-agents-cli-publish | Gemini Enterprise registration |
google-agents-cli-observability | Observability — Cloud Trace, logging, third-party integrations |
| Command | What it does |
|---|---|
agents-cli setup | Install CLI + skills to coding agents |
agents-cli scaffold <name> | Create a new agent project |
agents-cli eval run | Run agent evaluations |
agents-cli deploy | Deploy to Google Cloud |
agents-cli publish gemini-enterprise | Register with Gemini Enterprise |
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