adk-cheatsheet 是做什麼的？
在編寫或修改 ADK 代理程式碼前必讀。 ADK Python API 快速參考 — 包含代理類型、工具定義、編排模式、回呼與狀態管理。附有所有 ADK 文件頁面的索引。不適用於建立新專案（請使用 adk-scaffold）。
在編寫或修改 ADK 代理程式碼前必讀。ADK Python API 快速參考 — 包含代理類型、工具定義、編排模式、回呼與狀態管理。附有所有 ADK 文件頁面的索引。不適用於建立新專案（請使用 adk-scaffold）。
這是一份 Google ADK（Agent Development Kit）的 Python API 快速參考指南，專為開發者在編寫或修改 ADK 代理程式碼時設計。它涵蓋了代理類型、工具定義、編排模式、回呼機制以及狀態管理等關鍵概念，並提供一份完整的 ADK 官方文件索引，方便開發者快速查閱。此技能的目的是作為即時查閱的「小抄」，而不是用來建立新專案的模板（建立新專案應使用 adk-scaffold 技能）。第一次使用 ADK 或對特定 API 細節不熟悉時，優先參考此文件可以大幅提升開發效率，避免常見錯誤。支援所有使用 Python 開發 ADK 代理的環境，如 Claude Code、Cursor 或 Codex 等。
npx skills add https://github.com/google/adk-docs/tree/main/skills/adk-cheatsheetInstalled? Explore more 生產力與協作 skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
在編寫或修改 ADK 代理程式碼前必讀。 ADK Python API 快速參考 — 包含代理類型、工具定義、編排模式、回呼與狀態管理。附有所有 ADK 文件頁面的索引。不適用於建立新專案（請使用 adk-scaffold）。
This repo contains 5 individual skills — each has its own dedicated page.
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.
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.