adk-dev-guide 是做什么的？
始终激活——在任何ADK智能体开发会话开始时阅读。涵盖ADK开发生命周期和强制性编码指南——规范驱动的工作流、代码保留规则、模型选择及故障排除。
始终激活——在任何ADK智能体开发会话开始时阅读。涵盖ADK开发生命周期和强制性编码指南——规范驱动的工作流、代码保留规则、模型选择及故障排除。
此技能为使用Google ADK（Agent Development Kit）进行智能体开发的开发者提供强制性指南和最佳实践。它定义了一个规范驱动的开发工作流，要求开发者首先编写详细的功能规范（spec-driven workflow），然后实现步骤（如每15行代码后运行测试），并严格执行代码保留规则——禁止重写、删除未测试的代码、重构或重排代码，除非任务明确要求。该技能还指导模型选择（建议使用Gemini 2.5 Pro或Claude 3.5 Sonnet v2以提升ADK开发效率），提供详细的故障排除指南（包括Python环境、库路径、导入错误等常见问题的解决方案），并强制在每次代码更改后运行测试或构建以确保可靠性。它适用于Claude Code、Cursor、Codex等AI编码助手环境，确保开发过程可预测、避免破坏性修改。该技能的关键规则包括：始终在变更前运行测试、在迭代前更新规范文档、并彻底调试错误。
npx skills add https://github.com/google/adk-docs/tree/main/skills/adk-dev-guideInstalled? Explore more 生产力与协作 skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
始终激活——在任何ADK智能体开发会话开始时阅读。涵盖ADK开发生命周期和强制性编码指南——规范驱动的工作流、代码保留规则、模型选择及故障排除。
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).
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.