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standardhuman/deep-research-skill

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7-phase deep research system for Claude Code. Multi-source verification, Graph of Thoughts methodology, domain overlays for healthcare/financial/legal/market research.

Overview

A 7-phase research system for Claude Code that produces decision-grade, auditable, hallucination-resistant research outputs. 1. Download this repository as a ZIP 2. Extract to ~/.claude/skills/deep-research/ 3. Restart Claude Code Examples: - "Deep research the current state of quantum computing" - "Deep research best practices for SaaS pricing" - "Research AI regulation in Europe thoroughly" The system automatically classifies your question: All research is saved to /RESEARCH/[topic_name]/: 1. - Mark unsourced claims as [Source needed] 2. - Critical claims need independent verification 3. - 5 articles citing 1 report = 1 source 4. - Document and explain, don't hide 5.

README

Deep Research Skill

A 7-phase research system for Claude Code that produces decision-grade, auditable, hallucination-resistant research outputs.

What Makes This Different?

Traditional AI Research Deep Research
Single search query 5-10 parallel searches
Trust first result Verify with 2+ sources
No citations Every claim cited with URL
Hidden contradictions Conflicts documented and explained
Generic answers Hypothesis-driven investigation

Installation

Option 1: Clone to Skills Directory

cd ~/.claude/skills
git clone https://github.com/YOUR_USERNAME/deep-research-skill.git deep-research

Option 2: Manual Installation

  1. Download this repository as a ZIP
  2. Extract to ~/.claude/skills/deep-research/
  3. Restart Claude Code

Usage

Simply say: “Deep research [your topic]”

Examples:

  • “Deep research the current state of quantum computing”
  • “Deep research best practices for SaaS pricing”
  • “Research AI regulation in Europe thoroughly”

Research Types

The system automatically classifies your question:

Type Time Use Case
A: Lookup 1-2 min Single fact from authoritative source
B: Synthesis 15-30 min Aggregating multiple sources
C: Analysis 30-60 min Judgment and multiple perspectives
D: Investigation 2-4 hours Novel questions, conflicting evidence

The 7 Phases

0. Classify    → What type of research is this?
1. Scope       → What exactly are we researching?
1.5 Hypothesize → What are the likely answers?
2. Plan        → How will we find information?
3. Query       → Execute parallel searches
4. Triangulate → Verify claims across sources
5. Synthesize  → Combine into coherent findings
6. QA          → Verify citations and claims
7. Package     → Deliver structured output

Output Structure

All research is saved to /RESEARCH/[topic_name]/:

RESEARCH/
└── [topic_name]/
    ├── README.md                    # Navigation guide
    ├── 00_research_contract.md      # Scope agreement
    ├── 01_research_plan.md          # Subquestions, queries
    ├── 02_query_log.csv             # All searches
    ├── 03_source_catalog.csv        # Sources with ratings
    ├── 04_evidence_ledger.csv       # Claims → Sources
    ├── 08_report/
    │   ├── 00_executive_summary.md
    │   ├── 01_findings.md
    │   └── 02_recommendations.md
    └── 09_qa/
        └── qa_report.md

Key Principles

  1. No claim without evidence - Mark unsourced claims as [Source needed]
  2. 2-source rule - Critical claims need independent verification
  3. Independence matters - 5 articles citing 1 report = 1 source
  4. Contradictions are data - Document and explain, don’t hide
  5. Track everything - Query logs, source catalogs, evidence ledgers

File Structure

deep-research/
├── SKILL.md                 # Main skill file
├── README.md                # This file
└── references/
    ├── full-methodology.md  # Complete 7-phase specification
    └── DOMAIN_OVERLAYS/     # Specialized research requirements
        ├── healthcare.md    # PMID, FDA, clinical trials
        ├── financial.md     # SEC filings, EDGAR
        ├── legal.md         # Case citations, jurisdiction
        └── market.md        # Market sizing, competitive intel

Domain Overlays

For specialized research, the system can load domain-specific requirements:

  • Healthcare: PMID citations, FDA references, clinical trial registrations
  • Financial: SEC filings, EDGAR links, audited sources
  • Legal: Case citations, jurisdiction requirements
  • Market: Market sizing methodology, competitive intelligence standards

Credits

Based on Claude Code Deep Research

  • Graph of Thoughts from SPCL, ETH Zürich
  • Methodologies inspired by OpenAI and Google Gemini deep research
  • Developed by Ankit at MyBCAT

License

MIT License - Use freely, modify as needed.

View the full README on GitHub

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Install

npx skillfish add standardhuman/deep-research-skill
New to MCP? Start with the mcpskill.org guide →