Structured deep research workflow with human-in-the-loop control. Use /research to generate research outline, /research-deep for parallel web search across items, /research-report to compile markdown reports. Supports academic research, benchmark research, technology selection, market analysis, and due diligence. Triggers: 'deep research', 'research topic', 'benchmark comparison', 'technology survey', 'market analysis'. Requires: WebSearch capability.
Scanned 9/8/2026
Install to Claude Code
npx -y skills add infometa/workbuddyskills --skill deep-research --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: deep-research
description: "Structured deep research workflow with human-in-the-loop control. Use /research to generate research outline, /research-deep for parallel web search across items, /research-report to compile markdown reports. Supports academic research, benchmark research, technology selection, market analysis, and due diligence. Triggers: 'deep research', 'research topic', 'benchmark comparison', 'technology survey', 'market analysis'. Requires: WebSearch capability."
description_zh: "结构化深度调研工作流,支持大纲生成、并行搜索、报告输出"
description_en: "Structured deep research workflow: outline, parallel search, report generation"
version: 1.0.0
homepage: https://github.com/Weizhena/Deep-Research-skills
license: MIT
allowed-tools: Read, Write, Glob, WebSearch, Task, AskUserQuestion
---
# Deep Research — 结构化深度调研工作流
基于 [Deep-Research-skills](https://github.com/Weizhena/Deep-Research-skills) 项目,提供人机协作的结构化调研能力。
## 核心命令
| 命令 | 说明 |
|------|------|
| `/research <topic>` | 初步调研,生成 outline.yaml + fields.yaml |
| `/research-deep` | 并行深度搜索,逐项收集数据 |
| `/research-report` | 汇总生成 Markdown 报告 |
| `/research-add-items` | 追加调研条目 |
| `/research-add-fields` | 追加调研字段 |
## 工作流程
```
/research "AI Agent 2025"
↓ 生成大纲(items + fields)
↓ 用户确认/修改
/research-deep
↓ 并行 web-search-agent 逐项搜索
↓ 结果写入 results/
/research-report
↓ 汇总为 report.md
```
## 适用场景
- **学术调研**:论文综述、Benchmark 对比
- **技术选型**:框架评估、工具对比
- **市场调研**:竞品分析、行业趋势
- **尽职调查**:公司研究、投资分析
## 目录结构
```
deep-research/
├── research/SKILL.md # /research 命令(中文版)
├── research-deep/SKILL.md # /research-deep 命令
├── research-report/SKILL.md # /research-report 命令
├── research-add-items/SKILL.md
├── research-add-fields/SKILL.md
├── research-en/ # 英文版本
│ ├── research/SKILL.md
│ ├── research-deep/SKILL.md
│ ├── research-report/SKILL.md
│ ├── research-add-items/SKILL.md
│ └── research-add-fields/SKILL.md
└── agents/ # 搜索代理
├── web-search-agent.md
└── web-search-modules/ # 搜索策略模块
```
## 输出示例
```
{topic_slug}/
├── outline.yaml # 调研条目 + 执行配置
├── fields.yaml # 字段定义
├── results/ # 逐项搜索结果
│ ├── item_1.yaml
│ ├── item_2.yaml
│ └── ...
└── report.md # 最终报告
```
## 致谢
- 作者:[Weizhena](https://github.com/Weizhena)
- 灵感:RhinoInsight — Improving Deep Research through Control Mechanisms for Model Behavior and Context
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