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.