deep-research

Inventory existing knowledge, identify critical gaps, and produce traceable research outputs.

Updated Apr 18, 2026
One-click install
npx skills add https://github.com/rotilho/skills --skill deep-research-rotilho
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/rotilho/skills/tree/main/deep-research
Command: npx skills add https://github.com/rotilho/skills --skill deep-research-rotilho

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Multi-source, evidence-grounded research requires traceable sources and explicit uncertainty, enabling decision-makers to see what is known and what remains uncertain.

Core Features & Use Cases

  • Inventory existing knowledge and build a knowledge map.
  • Identify and prioritize gaps that drive decision quality.
  • Synthesize evidence-backed conclusions with source traceability.
  • Use for market analysis, due diligence, literature reviews, and ecosystem research.

Quick Start

Start by inventorying existing knowledge, identifying high-impact gaps, and drafting a source-traced research memo.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I conduct evidence-based research with traceable sources and explicit uncertainty?▼

Evidence-based research with traceable sources is conducted by inventorying existing knowledge, building a knowledge map, and synthesizing conclusions with formal citation governance to expose what is known and uncertain.

What is the best way to identify critical knowledge gaps during a literature review?▼

Identifying critical knowledge gaps during a literature review is best handled by building a knowledge map and prioritizing gaps that drive decision quality via plan-driven task generation.

Can I use this approach for market analysis and due diligence requiring live data?▼

Yes, you can use this approach for market analysis and due diligence requiring live data, as it supports ecosystem research and evidence-grounded investigation with source traceability.

How do I maintain source traceability and an evidence register across multi-source research?▼

Maintaining source traceability across multi-source research requires formal citation governance and an evidence register, ensuring synthesized conclusions map back to original sources.

Does this research workflow support a lead-agent and subagent architecture?▼

Yes, this research workflow supports a lead-agent plus subagent architecture, utilizing plan-driven task generation to systematically inventory knowledge and produce traceable outputs.

When should I not use an automated evidence-grounded research approach?▼

You should not use an automated evidence-grounded research approach when your task lacks multi-source data for gap analysis or requires no formal citation governance and explicit uncertainty mapping.