jilinchenandClaude Opus 4.5
013cc823b6
- Show actual outline.yaml, JSON output, and report - Keep examples concise and elegant 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
92 lines
2.6 KiB
Markdown
92 lines
2.6 KiB
Markdown
# Deep Research Skill for Claude Code
|
|
|
|
[English](README.md) | [中文](README.zh.md)
|
|
|
|
> Inspired by [RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context](https://arxiv.org/abs/2511.18743)
|
|
|
|
A structured research workflow skill for Claude Code, supporting two-phase research: outline generation (extensible) and deep investigation. Human-in-the-loop design ensures precise control at every stage.
|
|
|
|
## Use Cases
|
|
|
|
- **Academic Research**: Paper surveys, benchmark reviews, literature analysis
|
|
- **Technical Research**: Technology comparison, framework evaluation, tool selection
|
|
- **Market Research**: Competitor analysis, industry trends, product comparison
|
|
- **Due Diligence**: Company research, investment analysis, risk assessment
|
|
|
|
## Installation
|
|
|
|
```bash
|
|
# English version
|
|
cp -r skills/research-en ~/.claude/skills/research
|
|
|
|
# Required: Install agent
|
|
cp agents/web-search-agent.md ~/.claude/agents/
|
|
```
|
|
|
|
## Commands
|
|
|
|
> **Note**: Use `run /research` instead of `/research` directly, as slash commands conflict with built-in commands.
|
|
|
|
| Command | Description |
|
|
|---------|-------------|
|
|
| `run /research` | Generate research outline with items and fields |
|
|
| `run /research/add-items` | Add more items to existing outline |
|
|
| `run /research/add-fields` | Add more fields to existing outline |
|
|
| `run /research/deep` | Deep research each item with parallel agents |
|
|
| `run /research/report` | Generate markdown report from JSON results |
|
|
|
|
## Workflow & Example
|
|
|
|
> Example: Researching "AI Agent Demo 2025"
|
|
|
|
### Phase 1: Generate Outline
|
|
```
|
|
run /research AI Agent Demo 2025
|
|
```
|
|
**Output:** `ai-agent-demo/outline.yaml`
|
|
```yaml
|
|
topic: "AI Agent Demo & Review (2025.9-2025.12)"
|
|
items:
|
|
- name: "ChatGPT Agent"
|
|
category: "Browser Agent"
|
|
brief: "OpenAI unified Agent, released July 2025"
|
|
- name: "Claude Computer Use"
|
|
category: "Desktop Agent"
|
|
brief: "Anthropic desktop control Agent"
|
|
# ... 15 more items
|
|
```
|
|
|
|
### Phase 2: Deep Research
|
|
```
|
|
run /research/deep
|
|
```
|
|
**Output:** `ai-agent-demo/results/ChatGPT_Agent.json`
|
|
```json
|
|
{
|
|
"basic_info": {
|
|
"name": "ChatGPT Agent",
|
|
"company": "OpenAI",
|
|
"release_date": "2025-07-17",
|
|
"pricing": "Pro $200/mo, Plus $20/mo"
|
|
},
|
|
"tech_specs": {
|
|
"underlying_model": "GPT-5 series",
|
|
"agent_type": "Unified autonomous Agent"
|
|
}
|
|
}
|
|
```
|
|
|
|
### Phase 3: Generate Report
|
|
```
|
|
run /research/report
|
|
```
|
|
**Output:** `ai-agent-demo/report.md` - Markdown report with TOC and all items
|
|
|
|
## References
|
|
|
|
- RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context
|
|
|
|
## License
|
|
|
|
MIT
|