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deep-research

Conduct multi-source research with credibility checks and structured reporting.

1|Updated Apr 13, 2026
Search Tags:#research#web-search#market-analysis#literature-review#evidence-synthesis#critical-analysis#source-validation
One-click install
npx skills add https://github.com/OMIXEC/Mobile-dev-skills --skill deep-research-omixec
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/OMIXEC/Mobile-dev-skills/tree/main/skills/deep-research
Command: npx skills add https://github.com/OMIXEC/Mobile-dev-skills --skill deep-research-omixec

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of producing thorough, reliable, and well-structured research on complex topics by standardizing scoping, multi-source information gathering, credibility assessment, and evidence synthesis so users get actionable, cited conclusions instead of fragmented notes.

Core Features & Use Cases

  • Structured Research Process: Defines phases for scoping, broad overview searches, targeted deep dives, documentation lookups, cross-reference validation, and iterative follow-up.
  • Critical Analysis & Synthesis: Evaluates source credibility, evidence quality, logical coherence, and practical relevance, then synthesizes findings into executive summaries, detailed analyses, and actionable recommendations.
  • Use Case: Produce a literature review comparing evaluation metrics for AI agents, including benchmarks, academic papers, industry reports, and implementation notes with links and confidence estimates.

Quick Start

Ask the agent to perform deep research on a topic, synthesizing web search, official documentation, and academic sources into an executive summary with cited sources and a stated confidence level.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I conduct multi-source research and synthesize findings from different document types?▼

Multi-source research is conducted by scoping the topic, gathering data from web searches, academic papers, and documentation, then validating cross-references to synthesize evidence into a structured report with confidence estimates.

What is the best way to perform a literature review comparing evaluation metrics across various sources?▼

Performing a literature review involves targeted deep dives into academic papers and industry reports, critically analyzing source credibility and evidence quality to produce an executive summary with cited links and confidence levels.

Can I use automated evidence synthesis for market analysis and current-events investigations?▼

Yes, evidence synthesis is applicable to market analysis and current-events investigations, executing source credibility checks, cross-reference validation, and structured reporting to generate actionable, cited conclusions.

How does source validation work when gathering information from community resources and documentation?▼

Source validation works by evaluating source credibility, evidence quality, and logical coherence during information gathering, iteratively cross-referencing community resources and documentation to ensure reliable evidence synthesis.

What are the limitations of using critical analysis for complex topic research?▼

Limitations of critical analysis include potential gaps in source availability and the reliance on iterative follow-up searches, meaning complex topic research requires standardizing scoping and cross-referencing to avoid fragmented notes.

Do I need to provide specific search parameters for technical investigations using this research method?▼

No, you only need to ask for deep research on a technical topic; the method automatically defines phases for broad overview searches, targeted deep dives, and documentation lookups to synthesize findings into an executive summary.

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