deep-research

Turn vague prompts into multi-source research reports with HTML output.

5.0k|548|Updated May 14, 2025
One-click install
npx skills add https://github.com/dtyq/magic --skill deep-research-dtyq
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/dtyq/magic/tree/main/backend/super-magic/agents/skills/deep-research
Command: npx skills add https://github.com/dtyq/magic --skill deep-research-dtyq

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes reference (resource) components.

What problem does it solve?

Transforms vague prompts into verifiable, multi-source research deliverables that form the basis of formal reports.

Core Features & Use Cases

  • Multi-source retrieval and cross-validation for reports, whitepapers, and landscape analyses
  • Structured planning and evidence-backed conclusions with traceable sources
  • Use Case: When a user requires current data-driven industry analysis or competitive landscape insights, this skill produces an HTML report ready for stakeholder review.

Quick Start

Summarize the user's goal and start a multi-source deep research workflow to deliver a formal HTML report.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I generate an industry analysis report with traceable sources?

To generate an industry analysis report with traceable sources, you provide a topic prompt that triggers multi-source retrieval and cross-validation, yielding an HTML document with evidence-backed conclusions ready for stakeholder review.

What is the best way to turn a vague research prompt into a formal whitepaper?

Turning a vague prompt into a formal whitepaper requires structured planning and multi-source data cross-validation. This process transforms initial ideas into verifiable research deliverables with traceable sources outputted as an HTML report.

Can I use this for competitive landscape analysis requiring current data?

Yes, you can use this for competitive landscape analysis requiring current data. It applies multi-source retrieval and cross-validation specifically to topics needing up-to-date, data-driven insights, producing a formal HTML report.

How does multi-source cross-validation work for evidence-backed conclusions?

Multi-source cross-validation works by retrieving and corroborating data across multiple origins to ensure evidence-backed conclusions. This mechanism ensures that all findings within your formal HTML report are verifiable and rely on traceable sources.

Does this deep-research approach output formats other than HTML reports?

No, this deep-research approach outputs an HTML report exclusively. It focuses on delivering formal, structured documents like whitepapers and industry analyses directly in HTML format for stakeholder review.

What should I provide to start a multi-source deep research workflow?

To start a multi-source deep research workflow, you simply summarize your research goal or topic as a prompt. The system then handles the structured planning, evidence retrieval, and HTML report generation automatically.