Guia essencial para implantar agentes ADK no Google Cloud. Cobre Agent Engine, Cloud Run, GKE, pipelines CI/CD, segredos, observabilidade e workflows de produção.
Este skill, google/adk-deploy-guide, é o guia definitivo e obrigatório para qualquer desenvolvedor que esteja implantando agentes do Agent Development Kit (ADK) no Google Cloud. Ele abrange todos os aspectos críticos dos workflows de produção, incluindo deploys no Agent Engine, Cloud Run e Google Kubernetes Engine (GKE), além de configurar pipelines CI/CD, gerenciar segredos com segurança e implementar observabilidade robusta. Diferente de outros skills focados em padrões de código (adk-cheatsheet), avaliação (adk-eval-guide) ou scaffolding de projetos (adk-scaffold), este guia é especificamente direcionado para o deploy e a solução de problemas em ambientes de produção. Ele é suportado por qualquer plataforma que rode ADK, mas com foco principal no ecossistema do Google Cloud, fornecendo instruções concisas e práticas para garantir que seu agente seja implantado de forma eficiente, segura e escalável.
npx skills add https://github.com/google/adk-docs/tree/main/skills/adk-deploy-guideInstalled? Explore more Produtividade e Colaboração skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
LEIA OBRIGATORIAMENTE antes de implantar qualquer agente ADK. Guia de implantação ADK — Agent Engine, Cloud Run, GKE, pipelines CI/CD, segredos, observabilidade e workflows de produção. Use ao implantar agentes no Google Cloud ou ao solucionar problemas de implantação. NÃO use para padrões de código de API (use adk-cheatsheet), avaliação (use adk-eval-guide) ou scaffolding de projetos (use adk-scaffold).
This repo contains 5 individual skills — each has its own dedicated page.
MUST READ before writing or modifying ADK agent code. ADK API quick reference for Python — agent types, tool definitions, orchestration patterns, callbacks, and state management. Includes an index of all ADK documentation pages. Do NOT use for creating new projects (use adk-scaffold).
ALWAYS ACTIVE — read at the start of any ADK agent development session. ADK development lifecycle and mandatory coding guidelines — spec-driven workflow, code preservation rules, model selection, and troubleshooting.
MUST READ before running any ADK evaluation. ADK evaluation methodology — eval metrics, evalset schema, LLM-as-judge, tool trajectory scoring, and common failure causes. Use when evaluating agent quality, running adk eval, or debugging eval results. Do NOT use for API code patterns (use adk-cheatsheet), deployment (use adk-deploy-guide), or project scaffolding (use adk-scaffold).
MUST READ before setting up observability for ADK agents or when analyzing production traffic, debugging agent behavior, or improving agent performance. ADK observability guide — Cloud Trace, prompt-response logging, BigQuery Agent Analytics, third-party integrations, and troubleshooting. Use when configuring monitoring, tracing, or logging for agents, or when understanding how a deployed agent handles real traffic.
MUST READ before creating or enhancing any ADK agent project. Use when the user wants to build a new agent (e.g. "build me a search agent") or enhance an existing project (e.g. "add CI/CD to my project", "add RAG").
Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.
Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.
Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.
Search, install, update, sync, or publish agent skills with the ClawHub CLI and registry.
Delegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.
List, configure, authenticate, call, and inspect MCP servers/tools with mcporter over HTTP or stdio.