adk-scaffold 是做什么的？
在创建或增强任何ADK智能体项目前必须阅读。当用户想要构建新的智能体（如“构建一个搜索智能体”）或增强现有项目（如“给我的项目添加CI/CD”、“添加RAG”）时使用。
在创建或增强任何ADK智能体项目前必须阅读。当用户想要构建新的智能体（如“构建一个搜索智能体”）或增强现有项目（如“给我的项目添加CI/CD”、“添加RAG”）时使用。
这是一个关键技能，用于在Google ADK（智能体开发工具包）生态系统中搭建或增强项目。它在开始构建或修改任何ADK智能体项目之前作为强制性的起点。该技能指导用户完成项目初始化，包括添加如CI/CD管道或RAG（检索增强生成）等常见功能，支持多个平台（如Claude Code、Cursor、Codex），并确保新项目符合ADK标准。开发人员应使用此技能以确保正确设置其ADK智能体项目，利用内置模板和最佳实践来加速开发。
npx skills add https://github.com/google/adk-docs/tree/main/skills/adk-scaffoldInstalled? Explore more 生产力与协作 skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
在创建或增强任何ADK智能体项目前必须阅读。当用户想要构建新的智能体（如“构建一个搜索智能体”）或增强现有项目（如“给我的项目添加CI/CD”、“添加RAG”）时使用。
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).
MUST READ before deploying any ADK agent. ADK deployment guide — Agent Engine, Cloud Run, GKE, CI/CD pipelines, secrets, observability, and production workflows. Use when deploying agents to Google Cloud or troubleshooting deployments. Do NOT use for API code patterns (use adk-cheatsheet), evaluation (use adk-eval-guide), or project scaffolding (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.
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.