Based on Deep-Research-skills project, provides human-machine collaborative structured research capabilities.
Core Commands
| Command | Description |
|---|---|
/research <topic> |
Preliminary research, generate outline.yaml + fields.yaml |
/research-deep |
Parallel deep search, collect data item by item |
/research-report |
Aggregate and generate Markdown report |
/research-add-items |
Append research item |
/research-add-fields |
Append research field |
Workflow
/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
Use Cases
- Academic Research: Paper reviews, Benchmark comparisons
- Technology Selection: Framework evaluation, tool comparison
- Market Research: Competitive analysis, industry trends
- Due Diligence: Company research, investment analysis
Directory Structure
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
Output Example
{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
Acknowledgments
- Author:Weizhena
- Inspiration: RhinoInsight — Improving Deep Research through Control Mechanisms for Model Behavior and Context