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techdoc-search-and-orchestrate

【强制】所有技术文档查询必须使用本技能,禁止在主对话中直接使用 mcp__context7-mcp 工具。触发关键词:查询/学习/了解某个库或框架的文档、API用法、配置参数、错误解释、版本差异、代码示例、最佳实践。

本技能通过 context7-researcher agent 执行查询,避免大量文档内容污染主对话上下文,保持 token 效率。

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Works withSupabase
See how to install

Files included (2)

  • SKILL.md5.6 KB
  • skill-report.json24.6 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

技术文档查询调度技能

本技能负责将技术文档查询任务委派给专业的 context7-researcher agent 执行,通过 agent 隔离来保持主对话上下文的清晰,避免 token 消耗污染。

核心功能

识别需要技术文档查询的场景,并将任务委派给 context7-researcher agent,该 agent 专门使用 Context7 MCP 工具检索最新的技术文档。

适用场景

当需要查询技术文档时,本技能负责将任务委派给 context7-researcher agent 执行,避免技术文档检索过程污染主对话上下文。

调用规则

1. 委派方式

使用 Task tool 调用 context7-researcher agent:

Task tool 参数:
- subagent_type: "context7-researcher"
- description: 简短描述任务(3-5个字)
- prompt: 详细的查询需求

2. 任务编排策略

当有多个技术文档查询需求时,可以选择以下两种方式:

方式一:顺序执行(单 Agent 多任务)

  • 调用 1 个 context7-researcher agent
  • 在 prompt 中列出多个查询任务
  • Agent 按顺序依次完成所有任务
  • 优点:简单直接,适合任务间有关联的场景
  • 缺点:速度较慢,需要等待所有任务顺序完成

方式二:并行执行(多 Agent 并行)

  • 同时调用多个 context7-researcher agents
  • 每个 agent 分配 1 个或多个任务
  • 所有 agents 并行工作
  • 优点:速度快,多个查询同时进行
  • 缺点:编排稍复杂

选择建议:

  • 默认策略:尽可能拆分查询主题,使用并行执行,速度更快
  • 顺序执行:仅当查询任务有强依赖关系(必须先查出答案 A 才能查询问题 B)时使用
  • 主 agent 应理解用户需求,判断任务是否可拆分为独立主题

示例对比:

用户问:"帮我查询 Supabase 的 realtime 如何对接和 Supabase 的 JS SDK 如何使用"

顺序执行方式:

调用 1 个 agent:
- subagent_type: "context7-researcher"
- description: "查询 Supabase 文档"
- prompt: "请完成以下查询:
  1. 查询 Supabase realtime 的对接方法和示例
  2. 查询 Supabase JS SDK 的使用方法和示例"

并行执行方式(推荐):

同时调用 2 个 agents:

Agent 1:
- subagent_type: "context7-researcher"
- description: "查询 Supabase realtime"
- prompt: "查询 Supabase realtime 的对接方法和示例"

Agent 2:
- subagent_type: "context7-researcher"
- description: "查询 Supabase SDK"
- prompt: "查询 Supabase JS SDK 的使用方法和示例"

这两个查询虽然都关于 Supabase,但是独立的主题(一个是 realtime 功能,一个是 SDK 使用),没有强依赖关系,应该优先选择并行执行以提高效率。

场景示例

示例 1:单一 API 查询

用户需求: "Supabase 怎么实现用户注册?"

执行方式:

调用 Task tool:
- subagent_type: "context7-researcher"
- description: "查询 Supabase 用户注册"
- prompt: "查询 Supabase 的用户注册 API 用法,包括代码示例"

示例 2:多个独立查询

用户需求: "Next.js 的 App Router 怎么配置和 Server Actions 如何使用?"

执行方式:

并行调用 2 个 agents(推荐):

Agent 1:
- subagent_type: "context7-researcher"
- description: "查询 App Router 配置"
- prompt: "查询 Next.js App Router 的配置方法和示例"

Agent 2:
- subagent_type: "context7-researcher"
- description: "查询 Server Actions"
- prompt: "查询 Next.js Server Actions 的使用方法和示例"

说明: 虽然都是 Next.js 的功能,但 App Router 配置和 Server Actions 是两个独立主题,没有强依赖,应优先并行查询。

示例 3:强依赖查询(顺序执行)

用户需求: "我的 Next.js 项目报错 'Error: ENOENT: no such file or directory',这是什么原因?怎么解决?"

执行方式:

调用 1 个 agent 顺序执行:
- subagent_type: "context7-researcher"
- description: "排查 Next.js 错误"
- prompt: "请按顺序完成:
  1. 先查询 Next.js 中 'ENOENT: no such file or directory' 错误的常见原因
  2. 根据查到的原因,再查询对应的解决方案和最佳实践"

说明: 这是典型的强依赖场景,必须先了解错误原因,才能针对性地查询解决方案,因此使用顺序执行。

示例 4:单一复杂查询

用户需求: "Next.js 13 和 14 的路由有什么区别?"

执行方式:

调用 Task tool:
- subagent_type: "context7-researcher"
- description: "对比 Next.js 路由差异"
- prompt: "对比 Next.js 13 和 14 版本的路由系统差异,说明主要变更"

说明: 这是单一查询任务,无需拆分,直接委派给一个 agent 执行。

执行原则

  1. 自动识别: 当判断需要技术文档信息时,自动激活本技能
  2. 快速委派: 不在主对话中尝试查询,直接委派给专业 agent
  3. 保持清洁: 避免技术文档检索过程污染主对话上下文
  4. 灵活编排: 根据任务特点选择顺序或并行执行方式

通过本技能,主 agent 可以高效地将技术文档查询委派给专业 agent,保持对话流程清晰,优化 token 使用。

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