deep-research

Synthesize multi-source research into cited reports with consensus and gaps.

2|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/miptah21/skills --skill deep-research-miptah21
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/miptah21/skills/tree/main/.agents/skills/deep-research
Command: npx skills add https://github.com/miptah21/skills --skill deep-research-miptah21

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you turn a complex topic into a structured, well-supported research output by synthesizing multiple sources and clearly citing evidence.

Core Features & Use Cases

  • Research planning: Clarifies the research question, identifies subtopics, and sets prioritization for depth and coverage.
  • Multi-source synthesis: Pulls together perspectives, detects consensus and disagreement, and organizes findings into themes.
  • Evidence-backed output: Produces a readable report with numbered citations, a sources section, and notes on uncertainty and confidence.

Quick Start

Use the deep-research skill to research "the current state of regulations for AI in the EU and the US" and return a cited executive summary plus a detailed analysis with sources.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I synthesize multiple sources into a cited literature review?

To synthesize multiple sources into a cited literature review, clarify the research question, break down subtopics, evaluate evidence across competing viewpoints, and format an output with an executive summary, findings, and numbered citations.

What is the best way to structure research with evidence-backed conclusions?

The best way to structure research with evidence-backed conclusions is to organize the final output into distinct sections: an executive summary, detailed findings, consensus and debate analysis, source lists, and notes on research gaps.

How does multi-source synthesis handle competing viewpoints and consensus?

Multi-source synthesis handles competing viewpoints by pulling together diverse perspectives, detecting areas of agreement and disagreement, and organizing the analytical findings into unified themes based on the evaluated evidence.

Can I use this for in-depth investigations and analytical topic exploration?

Yes, you can use this for in-depth investigations and analytical topic exploration. The process requires a structured workflow covering question clarification, subtopic prioritization, and source evaluation to produce comprehensive, well-cited research.

How do I evaluate evidence and format citations for an executive summary?

Evaluate evidence by assessing source credibility during the research planning phase, then format citations using a numbered system linked directly to the synthesized findings, ensuring the executive summary accurately reflects the supporting evidence.

What are the limitations of automated research synthesis for complex topics?

A limitation of automated research synthesis is that it relies on available sources and may encounter uncertainty; therefore, the output explicitly notes research gaps and confidence levels rather than asserting definitive conclusions where evidence is weak.