Deep Research Skill for Claude Code

English | 中文

Inspired by RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context

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

# 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

Phase 1: Generate Outline

run /research <topic>

• Model knowledge generates initial items and field framework
• Web search supplements latest items
• User confirms and adjusts
• Outputs: outline.yaml (items + config) + fields.yaml (field definitions)

Phase 2: Deep Research

run /research/deep

• Parallel agents research each item (batch_size configurable)
• Each agent reads fields.yaml and outputs structured JSON
• Supports checkpoint resume
• Outputs: results/*.json

Optional: Expand Outline

run /research/add-items    # Add research targets via user input or web search
run /research/add-fields   # Add field definitions

Phase 3: Generate Report

run /research/report

• Generates Python script to convert JSON to markdown
• User selects summary fields for TOC
• Skips uncertain values automatically
• Outputs: report.md

References

• RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context

License

MIT