deep-research

Decompose research questions and synthesize cited findings from multiple sources.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill tackles complex research questions by systematically gathering, evaluating, and synthesizing information from multiple sources, providing structured findings and citations.

Core Features & Use Cases

  • Comprehensive Research: Conduct in-depth investigations on intricate topics.
  • Multi-Source Synthesis: Consolidate information from diverse origins into coherent reports.
  • Structured Findings: Present research outcomes with clear organization and proper citations.
  • Use Case: When you need a detailed market analysis for a new product, including competitor strategies, technological trends, and regulatory landscapes, this skill can provide a comprehensive overview.

Quick Start

Use the deep-research skill to conduct a thorough investigation into the future of renewable energy technologies.

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 into a structured report?

Multi-source research is conducted by decomposing complex questions, launching parallel subagents for discovery, evaluating source credibility, and synthesizing verified findings into structured reports with proper citations.

What is the best way to gather information for a comprehensive market analysis?

Comprehensive market analysis is performed by systematically gathering diverse perspectives, cross-referencing data, and consolidating information from multiple sources into a coherent overview with detailed citations.

Can I use this for literature reviews and technology evaluations?

Literature reviews and technology evaluations are supported by executing in-depth investigations that cross-reference information, evaluate source credibility, and systematically synthesize detailed findings.

How does deep dive research evaluate source credibility?

Deep dive research evaluates source credibility by decomposing the initial question, launching parallel discovery subagents, and filtering the gathered data before synthesizing the final structured report.

Are there limitations to using automated information gathering for complex topics?

Automated information gathering for complex topics relies on decomposing questions and parallel discovery subagents, meaning output quality depends on the availability and verifiability of diverse cross-referenced source perspectives.