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google/adk-cheatsheet

在编写或修改 ADK 代理代码前必须阅读。包含 Python ADK API 快速参考——代理类型、工具定义、编排模式、回调和状态管理。附有所有 ADK 文档页面的索引。不要用于创建新项目(应使用 adk-scaffold)。

adk-cheatsheet 是什么?

该技能提供了一份全面的 Google ADK(Agent Development Kit)API 快速参考手册,专为 Python 开发者设计。在编写或修改任何 ADK 代理代码之前,必须仔细阅读此技能,以确保使用正确的 API 命名、参数和结构。技能内容涵盖代理类型(如 ReAct、Function Calling Agent)、工具定义(包括函数、OpenAPI、预构建工具)、编排模式(如序列化、并行化)、生命周期回调(如 before_agent、after_agent)以及状态管理机制。此外,它维护了一个所有官方 ADK 文档页面的索引,便于开发者快速查找详细说明。该技能明确说明不应将其用于创建新项目,相关任务应使用 adk-scaffold 技能。支持 Cursor、Claude Code、Codex 等主流 AI 编码代理平台。

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/google/adk-docs/tree/main/skills/adk-cheatsheet

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adk-cheatsheet 是做什么的?

在编写或修改 ADK 代理代码前必须阅读。ADK API 快速参考(Python)——代理类型、工具定义、编排模式、回调和状态管理。包含所有 ADK 文档页面的索引。不要用于创建新项目(应使用 adk-scaffold)。

Individual skills in this repo

This repo contains 5 individual skills — each has its own dedicated page.

google/adk-deploy-guide

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).

google/adk-dev-guide

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.

google/adk-eval-guide

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).

google/adk-observability-guide

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.

google/adk-scaffold

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").

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