deep-research

Gather, evaluate, and synthesize multi-source information into structured research reports with inline citations.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/laik184/BACKEND-X-AGENT --skill deep-research-laik184
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/laik184/BACKEND-X-AGENT/tree/main/.local/secondary_skills/deep-research
Command: npx skills add https://github.com/laik184/BACKEND-X-AGENT --skill deep-research-laik184

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Aggregates information from multiple sources, evaluates credibility, and synthesizes findings into structured research reports with clear citations and scoring, reducing time to insight and improving decision quality.

Core Features & Use Cases

  • Structured multi-source literature collection with credibility scoring to identify reliable sources.
  • Systematic triangulation and synthesis across diverse perspectives, with transparent inline citations.
  • Use Case: Prepare literature reviews, policy briefings, or technology evaluations with an executive-ready report and methodology notes.

Quick Start

Provide a concise, multi-source research brief on the requested topic with cited sources.

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 structured research report with inline citations?

To generate a structured research report with inline citations, provide a concise research brief on your topic. The system gathers, evaluates, and synthesizes information from multiple sources to produce a publish-ready report featuring transparent inline citations and source credibility scoring.

What is source triangulation and how does it work for evidence-based analysis?

Source triangulation is a systematic process of cross-verifying information across diverse perspectives to ensure evidence-based analysis. It works by gathering and evaluating data from multiple sources, synthesizing the findings to reduce bias and improve overall decision quality.

When do I need source credibility scoring for a literature review?

You need source credibility scoring for a literature review when preparing policy briefings or technology evaluations. It identifies reliable sources across complex topics, ensuring your executive-ready report meets the requirements for evidence-based analysis and transparent methodology.

Can I use multi-source research for complex topics requiring cross-industry analysis?

Yes, you can use multi-source research for complex topics requiring cross-industry analysis. The approach applies systematic triangulation and source credibility scoring across diverse industries, synthesizing diverse perspectives into structured reports with clear citations and methodology notes.

What is the best way to synthesize diverse perspectives into a policy briefing?

The best way to synthesize diverse perspectives into a policy briefing is through systematic triangulation across multiple sources. This process evaluates source credibility, cross-references findings, and produces an executive-ready report with transparent inline citations and methodology notes.

Are there limitations to automated source credibility scoring in research reports?

Limitations of automated source credibility scoring depend on the availability and quality of gathered data. While it systematically evaluates and synthesizes sources to reduce time to insight, users should still review the methodology notes to ensure the evidence-based analysis meets their specific industry requirements.