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Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-09 18:12:25 +08:00

4.9 KiB

Deep Research Skill - Quick Start Guide

What is This?

A comprehensive research engine for Claude Code that matches and exceeds Claude Desktop's "Advanced Research" feature. It conducts enterprise-grade deep research with extended reasoning, multi-source synthesis, and citation-backed reports.

How to Use

Just ask Claude Code to use deep research:

Use deep research to analyze the current state of AI agent frameworks in 2025
Deep research: Should we migrate from PostgreSQL to Supabase?
Use deep research in ultradeep mode to review recent advances in longevity science

Direct CLI Usage

# Standard research (6 phases, ~5-10 minutes)
python3 ~/.claude/skills/deep-research/research_engine.py \
  --query "Your research question" \
  --mode standard

# Deep research (8 phases, ~10-20 minutes)
python3 ~/.claude/skills/deep-research/research_engine.py \
  --query "Your research question" \
  --mode deep

# Quick research (3 phases, ~2-5 minutes)
python3 ~/.claude/skills/deep-research/research_engine.py \
  --query "Your research question" \
  --mode quick

# Ultra-deep research (8+ phases, ~20-45 minutes)
python3 ~/.claude/skills/deep-research/research_engine.py \
  --query "Your research question" \
  --mode ultradeep

Research Modes Explained

Mode Phases Time Use When
Quick 3 2-5 min Initial exploration, simple questions
Standard 6 5-10 min Most research needs (default)
Deep 8 10-20 min Complex topics, important decisions
UltraDeep 8+ 20-45 min Critical analysis, comprehensive reports

What You Get

Every research report includes:

  • Executive Summary - Key findings in 3-5 bullets
  • Detailed Analysis - With full citations [1], [2], [3]
  • Synthesis & Insights - Novel insights beyond sources
  • Limitations & Caveats - What's uncertain or missing
  • Recommendations - Actionable next steps
  • Full Bibliography - All sources with credibility scores
  • Methodology Appendix - How research was conducted

Output Location

All research is saved to:

~/.claude/research_output/

Format: research_report_YYYYMMDD_HHMMSS.md

Features That Beat Claude Desktop Research

8-Phase Pipeline - More thorough than Claude Desktop's approach Multiple Research Modes - Choose depth vs speed Source Credibility Scoring - Evaluates each source (0-100 score) Graph-of-Thoughts - Non-linear exploration with branching reasoning Citation Management - Automatic tracking and bibliography generation Critique Phase - Built-in red-team analysis of findings Refine Phase - Addresses gaps before finalizing Local File Integration - Can search your codebase/docs Code Execution - Can run analyses and validations

Example Use Cases

Technology Evaluation

Use deep research to compare Next.js 15 vs Remix vs Astro for my project

Market Analysis

Deep research: What are the key trends in longevity biotech funding 2023-2025?

Technical Decision

Use deep research to help me choose between Auth0, Clerk, and Supabase Auth

Scientific Review

Use deep research in ultradeep mode to summarize senolytics research progress

Competitive Intelligence

Deep research: Who are the top 5 competitors in the AI code assistant space?

Quality Standards

Every report guarantees:

  • 10+ distinct sources (unless highly specialized topic)
  • 3+ source verification for major claims
  • Full citation tracking
  • Credibility assessment for each source
  • Limitations documented
  • Methodology explained

Tips for Best Results

  1. Be Specific - "Compare X vs Y for use case Z" is better than "Tell me about X"
  2. State Your Goal - "Help me decide..." vs "Give me an overview..."
  3. Choose Right Mode - Use Quick for exploration, Deep for decisions
  4. Check Scope First - Review Phase 1 output to ensure on track
  5. Use Citations - Drill deeper by asking about specific sources [1], [2], etc.

Architecture

deep-research/
├── SKILL.md                 # Main skill definition (11KB)
├── research_engine.py       # Core engine (16KB)
├── utils/
│   ├── citation_manager.py # Citation tracking (6KB)
│   └── source_evaluator.py # Credibility scoring (8KB)
├── README.md               # Full documentation
├── QUICK_START.md          # This guide
└── requirements.txt        # No external deps needed!

No Dependencies Required!

The skill uses only Python standard library - no pip install needed for basic usage.

Version

v1.0 - Released 2025-11-04

Built to match and exceed Claude Desktop's Advanced Research feature.


Ready to use? Just type:

Use deep research to [your question here]

Claude Code will automatically load this skill and execute the research pipeline!