76 lines
1.8 KiB
Markdown
76 lines
1.8 KiB
Markdown
# Deep Research Skill for Claude Code
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> Inspired by [RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context](https://arxiv.org/abs/2511.18743)
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A structured research workflow skill for Claude Code, supporting two-phase research: outline generation and deep investigation.
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## Commands
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| Command | Description |
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|---------|-------------|
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| `/research` | Generate research outline with items and fields |
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| `/research/add-items` | Add more items to existing outline |
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| `/research/add-fields` | Add more fields to existing outline |
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| `/research/deep` | Deep research each item with parallel agents |
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## Installation
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Copy the `skills/` folder to your Claude Code directory:
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```bash
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cp -r skills/* ~/.claude/skills/
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```
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## Workflow
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### Phase 1: Generate Outline
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```
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/research <topic>
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```
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- Uses model knowledge + web search
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- Asks for existing field definitions
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- Outputs `{topic}_outline.yaml` in current directory
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### Phase 2: Deep Research
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```
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/research/deep
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```
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- Reads outline automatically from current directory
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- Launches parallel agents (5 per batch)
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- Outputs structured JSON per item
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- Supports resume from checkpoint
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### Optional: Expand Outline
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```
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/research/add-items # Add more research targets
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/research/add-fields # Add more field definitions
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```
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## Output Format
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### Outline (YAML)
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```yaml
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topic: "your topic"
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items:
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- name: "Item1"
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source: "source info"
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fields:
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basic_info:
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- name: "field_name"
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description: "field description"
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detail_level: "detailed|brief"
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execution:
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batch_size: 5
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```
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### Research Result (JSON)
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Each item outputs a structured JSON file with all defined fields.
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## References
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- RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context
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## License
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MIT
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