adk-eval-guide 是做什麼的？
在執行任何 ADK 評估前必讀。ADK 評估方法論 — 評估指標、evalset 結構、LLM 作為評審、工具軌跡評分及常見失敗原因。適用於評估代理品質、執行 adk eval 或除錯評估結果時使用。請勿用於 API 程式碼模式（請使用 adk-cheatsheet）、部署（請使用 adk-deploy-guide）或專案模板生成（請使用 adk-scaffold）。
在執行任何 ADK 評估前必讀。ADK 評估方法論 — 評估指標、evalset 結構、LLM 作為評審、工具軌跡評分及常見失敗原因。適用於評估代理品質、執行 adk eval 或除錯評估結果時使用。請勿用於 API 程式碼模式（請使用 adk-cheatsheet）、部署（請使用 adk-deploy-guide）或專案模板生成（請使用 adk-scaffold）。
此技能提供 Google ADK（Agent Development Kit）評估的完整指引，是進行任何 ADK 評估前必讀的參考文件。它詳細說明了 ADK 的評估方法論，包括評估指標（如準確率、召回率）、evalset 資料結構、LLM-as-judge 評判機制、工具軌跡評分（tool trajectory scoring），以及常見的評估失敗原因與除錯建議。該技能支援開發者在評估代理品質、執行 `adk eval` 命令或除錯評估結果時使用，能有效提升評估的準確性與效率。請注意，此技能不適用於 API 程式碼模式、部署或專案模板生成等場景，相關需求應參考其他專門文件。
npx skills add https://github.com/google/adk-docs/tree/main/skills/adk-eval-guideInstalled? Explore more 生產力與協作 skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
在執行任何 ADK 評估前必讀。ADK 評估方法論 — 評估指標、evalset 結構、LLM 作為評審、工具軌跡評分及常見失敗原因。適用於評估代理品質、執行 adk eval 或除錯評估結果時使用。請勿用於 API 程式碼模式（請使用 adk-cheatsheet）、部署（請使用 adk-deploy-guide）或專案模板生成（請使用 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).
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 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.