deep-research

Synthesize multi-source research into structured reports with citations and credibility scoring.

Updated Dec 25, 2025
One-click install
npx skills add https://github.com/Darsh20009/genmz-shop --skill deep-research-darsh20009
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/Darsh20009/genmz-shop/tree/main/.local/secondary_skills/deep-research
Command: npx skills add https://github.com/Darsh20009/genmz-shop --skill deep-research-darsh20009

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Synthesizes information from multiple sources into structured, citation-rich reports with credibility scoring, reducing time-to-inspect and bias.

Core Features & Use Cases

  • Multisource synthesis with source credibility scoring.
  • Structured report generation with inline citations.
  • Verification & gap analysis to identify missing data and conflicting findings.
  • Use Case: Academic literature reviews, due diligence in market research, and technology evaluations.

Quick Start

Ask the model to perform a comprehensive literature review on a defined topic and generate a structured, cited report.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I generate a cited literature review with source credibility scoring?

Generate a cited literature review by requesting multi-source synthesis with source credibility scoring. The process synthesizes complex topics into structured reports featuring inline citations, gap analysis, and source triangulation to reduce bias.

What is source triangulation and when do I need it for evidence-based research?

Source triangulation verifies findings across multiple independent references to ensure data accuracy. You need it for evidence-based evaluations, academic literature reviews, and market due diligence to identify conflicting data and research gaps.

Can I adjust the depth of a research report for quick technical evaluations?

Yes, you can adapt research depth to Quick, Standard, or Deep levels for technical evaluations. This scales the comprehensiveness of multi-source synthesis while maintaining structured report generation with inline citations and gap analysis.

Does multisource synthesis work for competitive analysis and market due diligence?

Multisource synthesis works effectively for competitive analysis and market due diligence by aggregating evidence across sources. It generates structured reports with source credibility scoring, flagging conflicting findings and identifying missing data.

What is the best way to identify conflicting findings and gaps in academic research?

The best way to identify conflicting findings and gaps is through verification and gap analysis during multisource synthesis. This methodology cross-references data, scores source credibility, and explicitly flags missing data in the structured report.