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.