deep-research

Conduct multi-source research with evidence-led workflows and citations.

21|3|Updated Dec 19, 2025
One-click install
npx skills add https://github.com/standardhuman/deep-research-skill --skill deep-research-standardhuman
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/standardhuman/deep-research-skill/tree/main
Command: npx skills add https://github.com/standardhuman/deep-research-skill --skill deep-research-standardhuman

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables researchers to produce decision-grade, auditable deep research by mapping every claim to evidence and sources.

Core Features & Use Cases

  • Graph of Thoughts-driven multi-phase workflow across 7+ phases
  • Evidence ledger with independence grouping for robust citations
  • Domain overlays support healthcare, financial, legal, and market research
  • Outputs saved under /RESEARCH/[topic_name]/ for auditable delivery

Quick Start

Say: Deep research [topic] to start a full multi-source investigation.

Frequently Asked Questions about deep-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I conduct multi-source research with verifiable citations?

Multi-source research with verifiable citations requires mapping every claim to evidence using an auditable workflow. This Skill applies a 7-phase protocol with independence grouping and triangulation to ensure claims are backed by structured references.

What is a Graph of Thoughts approach for deep research?

A Graph of Thoughts approach for deep research structures the investigation process by mapping interconnected ideas and evidence nodes. This allows for multi-phase reasoning, triangulation, and comprehensive domain-specific overlays across diverse research tasks.

How do I start a full multi-source investigation?

To start a full multi-source investigation, prompt the Skill with your specific topic. It will execute a 7-phase protocol, applying domain overlays and saving the final structured deliverables under a dedicated research directory for auditable delivery.

Can I use this for healthcare, financial, legal, or market research?

Yes, you can use this for healthcare, financial, legal, and market research. The workflow applies specific domain overlays to these fields, ensuring the investigation maintains independence, QA, and domain-appropriate evidence validation.

How does the evidence ledger ensure independence in research claims?

The evidence ledger ensures independence by grouping sources and mapping every claim to verifiable references. This auditable evidence-led workflow enforces triangulation throughout the research lifecycle, preventing reliance on single, unverified data points.