Guía de despliegue para agentes ADK en Google Cloud. Léase antes de desplegar cualquier agente ADK.
Esta habilidad proporciona una guía completa y detallada para desplegar agentes construidos con el Agent Development Kit (ADK) de Google en infraestructura de Google Cloud. Incluye instrucciones paso a paso para plataformas como Agent Engine, Cloud Run y Google Kubernetes Engine (GKE), así como configuraciones de pipelines CI/CD, manejo de secretos, observabilidad (logging, métricas, tracing) y flujos de trabajo de producción. Está diseñada para desarrolladores y equipos de operaciones que necesitan llevar sus agentes ADK del desarrollo a un entorno de producción robusto y escalable. Especifica claramente su alcance para evitar superposición con otras guías: no debe usarse para patrones de código de API (usar adk-cheatsheet), evaluación de agentes (usar adk-eval-guide) ni scaffolding de proyectos (usar adk-scaffold). Su estructura incluye referencias a mejores prácticas de despliegue, configuración de infraestructura y resolución de problemas comunes en Google Cloud.
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DEBE LEERSE antes de desplegar cualquier agente ADK. Guía de despliegue de ADK — Agent Engine, Cloud Run, GKE, pipelines CI/CD, secretos, observabilidad y flujos de trabajo de producción. Úsela al desplegar agentes en Google Cloud o al solucionar problemas de despliegues. NO la use para patrones de código de API (use adk-cheatsheet), evaluación (use adk-eval-guide) ni scaffolding de proyectos (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.