deep-research

Execute four-phase multi-source research and synthesize findings into a structured report.

11|Updated Dec 18, 2025
One-click install
npx skills add https://github.com/brolag/neural-claude-code --skill deep-research-brolag
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/brolag/neural-claude-code/tree/main/skills/deep-research
Command: npx skills add https://github.com/brolag/neural-claude-code --skill deep-research-brolag

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Conducts comprehensive, multi-source research with systematic analysis to deliver evidence-based insights and avoid fragmented findings.

Core Features & Use Cases

  • Four-phase orchestration (Understand → Plan → Execute → Synthesize) for structured research.
  • Parallel task execution and provenance-aware synthesis to accelerate complex investigations.
  • Clear deliverables including executive summary, findings, sources, and open questions.
  • Use cases include in-depth topic analysis, cross-source comparisons, and strategic recommendations.

Quick Start

Provide a topic to initiate a deep-dive research task.

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 with structured analysis?

Multi-source research extracts insights from multiple references, organizes findings, and delivers a synthesized report. It applies four phases: Understand, Plan, Execute, and Synthesize, with safety checks and provenance tracking for complex investigations.

What is the best way to synthesize information from multiple sources?

Synthesizing information from multiple sources is best handled through provenance-aware synthesis that tracks origins and cross-source comparisons. It accelerates complex investigations and delivers clear deliverables like executive summaries, findings, and open questions.

How do I start an in-depth topic analysis for cross-source comparison?

To start an in-depth topic analysis, provide a topic to initiate a deep-dive research task. The system orchestrates parallel task execution to extract insights, compare sources, and generate structured recommendations across domains.

What deliverables should I expect from a comprehensive topic analysis?

A comprehensive topic analysis delivers an executive summary, detailed findings, a list of sources, and open questions. These structured deliverables ensure evidence-based insights and avoid fragmented findings during complex investigations.

Does this research approach work for complex topics requiring cross-source comparison?

Yes, multi-source research is designed for complex topics requiring deep investigation and cross-source comparison. It implements task dependencies and structured recommendations to systematically analyze and synthesize information across domains.