multi-search
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Chinese多主题深度研究技能
Multi-Topic In-Depth Research Skill
概述
Overview
智能多主题深度研究工具,自动分析材料并生成系统化研究文档。支持任意材料输入,通过并行启动多个独立研究 Agent进行深度检索,形成精简的研究知识库。
核心原则:
- 只做信息检索、归纳与专业表述转化
- 不新增事实,不虚构信息
- 聚焦单一问题,精简输出,能够解决问题即可
- 通用设计,可适用于法律、商业、技术、学术等各领域
An intelligent multi-topic in-depth research tool that automatically analyzes materials and generates systematic research documents. It supports input of any materials, and forms a streamlined research knowledge base by launching multiple independent research Agents in parallel for in-depth retrieval.
Core Principles:
- Only perform information retrieval, induction and professional expression conversion
- Do not add new facts or fabricate information
- Focus on single issues, output streamlined content that suffices to solve the problem
- Universal design, applicable to fields such as law, business, technology, academia, etc.
触发条件
Trigger Conditions
使用 命令触发,或当用户请求:
/multi-search- 深度研究多个相关课题
- 进行系统性信息检索
- 整合多角度分析
- 需要生成结构化研究报告
Trigger with the command, or when the user requests:
/multi-search- In-depth research on multiple related topics
- Systematic information retrieval
- Integration of multi-angle analysis
- Generation of structured research reports
输入格式
Input Formats
方式一:基于文件
Method 1: Based on Files
/multi-search @文档路径.md/multi-search @document-path.md方式二:直接粘贴
Method 2: Direct Paste
/multi-search
[粘贴材料内容]/multi-search
[paste material content]方式三:指定课题
Method 3: Specify Topics
/multi-search
项目:[项目名称]
研究课题:
1. [课题一]
2. [课题二]
3. [课题三]/multi-search
Project: [Project Name]
Research Topics:
1. [Topic 1]
2. [Topic 2]
3. [Topic 3]处理流程
Processing Flow
阶段1:分析准备
Phase 1: Analysis & Preparation
- 读取输入材料
- 提取研究课题清单
- 有明确课题:直接使用
- 无明确课题:自动从材料中提取
- 课题拆分原则:
- 方向明确:每个课题对应独特的检索方向
- 避免重叠:确保课题之间检索关键词不重复
- 聚焦问题:每个课题解决一个具体问题
- 确定项目名称和输出位置
- Read input materials
- Extract research topic list
- With explicit topics: use directly
- Without explicit topics: automatically extract from materials
- Topic splitting principles:
- Clear direction: Each topic corresponds to a unique retrieval direction
- Avoid overlap: Ensure no duplicate retrieval keywords between topics
- Focus on problem: Each topic solves one specific problem
- Confirm project name and output location
阶段2:输出目录智能检测
Phase 2: Intelligent Output Directory Detection
按优先级检测项目结构:
- 优先检测:目录 → 使用
output/output/[项目名]/ - 其次检测:当前工作目录 → 使用
./[项目名]/ - 兜底方案:用户当前目录 → 使用
./research/
创建目录:
[输出目录]/03 - 🔍 深度研究/Detect project structure by priority:
- Priority detection: directory → Use
output/output/[Project Name]/ - Secondary detection: Current working directory → Use
./[Project Name]/ - Fallback solution: User's current directory → Use
./research/
Create directory:
[Output Directory]/03 - 🔍 In-Depth Research/阶段3:并行深度研究
Phase 3: Parallel In-Depth Research
为每个研究课题启动独立的 独立研究 Agent。
general-purpose上下文传递(主Agent → 独立研究 Agent):
- 项目关键信息(背景、目标、核心问题)
- 完整的课题清单及各课题的检索范围
- 已分配的关键词方向(避免重复的依据)
- 具体需求背景
去重检查机制:
每个 独立研究 Agent 在开始检索前,必须遵循以下流程:
-
检索前声明:
- 在当前上下文中声明:"我将检索 [关键词A, 关键词B] 用于研究 [课题名称]"
- 等待主 Agent 确认无重复后再开始
-
主 Agent 审核:
- 检查该 Agent 声明的关键词是否与已分配方向重复
- 如发现重复,及时通知该 Agent 转向其他方向
-
动态调整:
- 如果某方向已被其他 Agent 覆盖,该 Agent 应转向相关但不同的角度
- 记录调整后的检索方向
深度检索要求:
- 4-6轮深度检索
- 自动选择 WebSearch(搜索发现)或 WebFetch(获取完整内容)
- 关键词差异化,确保每个 Agent 覆盖独特角度
文档生成:
- 聚焦解决单一核心问题
- 简洁明了,能够解决问题即可
- 包含关键来源链接
- 直接可用的结论和建议
Launch independent research Agents for each research topic.
general-purposeContext Transfer (Main Agent → Independent Research Agent):
- Key project information (background, objectives, core issues)
- Complete topic list and retrieval scope for each topic
- Assigned keyword directions (basis for avoiding duplicates)
- Specific requirement background
Duplication Check Mechanism:
Each independent research Agent must follow this process before starting retrieval:
-
Pre-retrieval Declaration:
- Declare in the current context: "I will retrieve [Keyword A, Keyword B] for researching [Topic Name]"
- Wait for confirmation from the Main Agent that there is no duplication before starting
-
Main Agent Review:
- Check if the keywords declared by the Agent overlap with already assigned directions
- If duplication is found, notify the Agent to switch to other directions promptly
-
Dynamic Adjustment:
- If a direction has been covered by other Agents, this Agent should switch to a related but different angle
- Record the adjusted retrieval direction
In-Depth Retrieval Requirements:
- 4-6 rounds of in-depth retrieval
- Automatically select WebSearch (search discovery) or WebFetch (full content acquisition)
- Differentiated keywords to ensure each Agent covers a unique angle
Document Generation:
- Focus on solving a single core problem
- Concise and clear, sufficient to solve the problem
- Include key source links
- Provide directly usable conclusions and suggestions
阶段4:整合输出
Phase 4: Integration & Output
- 生成研究总览文档(000.研究总览.md)
- 整合所有 独立研究 Agent 的核心发现
- 创建文档间导航链接
- 添加综合建议和立即行动清单
- Generate research overview document (000.Research Overview.md)
- Integrate core findings from all independent research Agents
- Create navigation links between documents
- Add comprehensive suggestions and immediate action checklist
输出格式
Output Formats
目录结构
Directory Structure
[输出目录]/
└── [项目名]/
└── 03 - 🔍 深度研究/
├── 000.研究总览.md
├── YYMMDD [研究课题一].md
├── YYMMDD [研究课题二].md
└── ...[Output Directory]/
└── [Project Name]/
└── 03 - 🔍 In-Depth Research/
├── 000.Research Overview.md
├── YYMMDD [Research Topic 1].md
├── YYMMDD [Research Topic 2].md
└── ...总览文档格式
Overview Document Format
markdown
undefinedmarkdown
undefined[项目名称] 深度研究总览
[Project Name] In-Depth Research Overview
生成时间: YYYY-MM-DD
研究方式: N个独立研究 Agent,各进行4-6轮深度检索
总检索轮次: XX+轮
总文档量: XX KB
Generation Time: YYYY-MM-DD
Research Method: N independent research Agents, each conducting 4-6 rounds of in-depth retrieval
Total Retrieval Rounds: XX+ rounds
Total Document Size: XX KB
研究成果清单
Research Results List
已完成的N份精简研究报告
Completed N Streamlined Research Reports
| 序号 | 研究课题 | 文件大小 | 核心价值 |
|---|---|---|---|
| 01 | 课题一 | XX KB | 简要描述 |
| No. | Research Topic | File Size | Core Value |
|---|---|---|---|
| 01 | Topic 1 | XX KB | Brief description |
核心发现
Core Findings
发现1:[最重要发现]
Finding 1: [Most Important Finding]
依据:[简要说明]
结论:[具体结论]
Basis: [Brief explanation]
Conclusion: [Specific conclusion]
综合建议
Comprehensive Suggestions
一、策略建议
1. Strategic Recommendations
推荐方案:[具体方案]
Recommended Solution: [Specific plan]
二、立即行动清单
2. Immediate Action Checklist
- 行动项1
- 行动项2
undefined- Action Item 1
- Action Item 2
undefined详细研究文档格式
Detailed Research Document Format
markdown
undefinedmarkdown
undefined[研究课题标题]
[Research Topic Title]
生成时间: YYYY-MM-DD
研究深度: XX+轮深度检索,覆盖XXXX、XXXX、XXXX
Generation Time: YYYY-MM-DD
Research Depth: XX+ rounds of in-depth retrieval, covering XXXX, XXXX, XXXX
核心结论
Core Conclusion
[最重要的发现和结论,2-3段,充分详实]
[Most important findings and conclusions, 2-3 paragraphs, sufficiently detailed]
一、[主要内容一]
1. [Main Content 1]
(一)子标题
(1) Subtitle
二、[主要内容二]
2. [Main Content 2]
[继续结构化内容]
[Continue structured content]
三、应用建议
3. Application Suggestions
(一)建议要点
(1) Key Suggestions
内容:[具体内容]
Content: [Specific content]
(二)注意事项
(2) Notes
⚠️ [注意点]
---⚠️ [Key Note]
---链接规范
Link Specifications
核心原则
Core Principle
所有来源链接必须内嵌到正文中相应位置
markdown
✅ 正确:
根据[研究报告](https://链接)显示...
❌ 错误:
根据某报告...
(文末单独列出引用来源)All source links must be embedded in the corresponding position in the body text
markdown
✅ Correct:
According to [Research Report](https://link)...
❌ Incorrect:
According to a certain report...
(List citations separately at the end of the document)链接标注约定
Link Label Conventions
- 🔗 → 通用网页资源
- 📚 → 学术文献
- 🏛️ → 机构官网
- 📄 → 数据来源
- 🔗 → General web resources
- 📚 → Academic literature
- 🏛️ → Institutional official websites
- 📄 → Data sources
文档命名规范
Document Naming Specifications
编号系统
Numbering System
- - 研究总览
00. - - 核心研究
01-09. - - 重要研究
10-19. - - 延伸研究
20+.
- - Research Overview
00. - - Core Research
01-09. - - Important Research
10-19. - - Extended Research
20+.
主题规范
Topic Specifications
- ✅ 使用简洁中文标题
- ✅ 避免特殊字符
- ✅ 长度15字以内
- ✅ 清晰反映研究对象
- ✅ Use concise Chinese titles
- ✅ Avoid special characters
- ✅ Within 15 characters
- ✅ Clearly reflect the research object
质量标准
Quality Standards
独立研究 Agent研究质量
Independent Research Agent Research Quality
- 聚焦单一问题:每个 独立研究 Agent 仅解决一个核心问题
- 检索深度:4-6轮检索(够用即可)
- 精简输出:简洁明了,能够解决问题就行
- 关键引用:引用关键来源(够用即可)
- 直接可用:提供直接可用的结论和建议
- Focus on single problem: Each independent research Agent only solves one core problem
- Retrieval depth: 4-6 rounds of retrieval (sufficient is enough)
- Streamlined output: Concise and clear, sufficient to solve the problem
- Key citations: Cite key sources (sufficient is enough)
- Directly usable: Provide directly usable conclusions and suggestions
文档质量标准
Document Quality Standards
- 结构清晰:章节标题层级分明
- 叙述连贯:段落式叙述,避免过度罗列
- 链接准确:所有链接内嵌到正文相应位置
- 格式统一:遵循统一的格式规范
- 可操作性强:提供具体的步骤、工具、命令
- Clear structure: Hierarchical chapter titles
- Coherent narrative: Paragraph-based narration, avoid excessive listing
- Accurate links: All links embedded in corresponding positions in the body text
- Unified format: Follow unified format specifications
- High operability: Provide specific steps, tools, commands
注意事项
Notes
严禁行为
Prohibited Behaviors
- ❌ 不创建二级子目录(如"引用素材/")
- ❌ 不生成独立的执行总结文件
- ❌ 不使用过度罗列的要点格式
- ❌ 不在文末单独列出引用来源
- ❌ 不添加冗余的进度跟踪章节
- ❌ Do not create secondary subdirectories (e.g., "Reference Materials/")
- ❌ Do not generate separate executive summary files
- ❌ Do not use excessive bullet point formats
- ❌ Do not list citations separately at the end of the document
- ❌ Do not add redundant progress tracking sections
推荐做法
Recommended Practices
- ✅ 使用叙述式段落表达
- ✅ 链接内嵌到相应正文位置
- ✅ 保持简洁的研究总览
- ✅ 提供具体的行动建议
- ✅ 标注清晰的文档编号
- ✅ Use narrative paragraph expression
- ✅ Embed links in corresponding positions in the body text
- ✅ Keep research overview concise
- ✅ Provide specific action suggestions
- ✅ Use clear document numbering
依赖
Dependencies
本技能依赖 Claude Code 内置工具,无需额外配置:
- WebSearch:搜索发现
- WebFetch:获取完整内容
- Task:启动独立 独立研究 Agent
This skill relies on built-in tools of Claude Code, no additional configuration required:
- WebSearch: Search discovery
- WebFetch: Full content acquisition
- Task: Launch independent research Agents
变更历史
Change History
| 版本 | 日期 | 更新内容 |
|---|---|---|
| v1.0.0 | 2026-02-15 | 从 Command 迁移为 Skill,重命名为多主题深度研究(multi-search) |
| Version | Date | Update Content |
|---|---|---|
| v1.0.0 | 2026-02-15 | Migrated from Command to Skill, renamed to Multi-Topic In-Depth Research (multi-search) |