adk-eval-guide 是做什么的？
运行任何 ADK 评估前必读。ADK 评估方法论——评估指标、评估集模式、LLM 作为评估者、工具轨迹评分及常见失败原因。适用于评估代理质量、运行 adk eval 或调试评估结果。不适用于 API 代码模式（请使用 adk-cheatsheet）、部署（请使用 adk-deploy-guide）或项目脚手架（请使用 adk-scaffold）。
运行任何 ADK 评估前必读。涵盖 ADK 评估方法论——评估指标、评估集模式、LLM 作为评估者、工具轨迹评分及常见失败原因。适用于评估代理质量、运行 adk eval 或调试评估结果。不适用于 API 代码模式（请使用 adk-cheatsheet）、部署（请使用 adk-deploy-guide）或项目脚手架（请使用 adk-scaffold）。
该技能提供了在 Agent Development Kit (ADK) 框架下进行代理评估的完整方法论指导。它详细介绍了评估指标、评估集（evalset）的模式定义、如何使用 LLM 作为评判者（LLM-as-judge）进行自动化评估，以及工具轨迹（tool trajectory）的评分机制。通过分析常见失败原因，帮助开发者快速定位并解决评估中的问题，从而提升代理质量。本技能适用于需要运行 `adk eval` 命令、调试评估结果或定义代理评估标准的场景。请注意，它不涉及 API 代码模式、部署或项目脚手架等主题。
npx skills add https://github.com/google/adk-docs/tree/main/skills/adk-eval-guideInstalled? Explore more 生产力与协作 skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
运行任何 ADK 评估前必读。ADK 评估方法论——评估指标、评估集模式、LLM 作为评估者、工具轨迹评分及常见失败原因。适用于评估代理质量、运行 adk eval 或调试评估结果。不适用于 API 代码模式（请使用 adk-cheatsheet）、部署（请使用 adk-deploy-guide）或项目脚手架（请使用 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.