deep-research

Execute systematic multi-phase web research with broad exploration and deep dives.

Updated Mar 7, 2026
One-click install
npx skills add https://github.com/aifredoai/sdk --skill deep-research-aifredoai
Or copy as Structured Prompt for Agent
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Skill: deep-research
Source: https://github.com/aifredoai/sdk/tree/main/deerflow/skills/public/deep-research
Command: npx skills add https://github.com/aifredoai/sdk --skill deep-research-aifredoai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the need for thorough, multi-angle web research, preventing superficial answers and ensuring content generation is based on robust information.

Core Features & Use Cases

  • Systematic Research Methodology: Guides users through phases of broad exploration, deep dives, and diversity checks.
  • Targeted Query Generation: Provides strategies for effective and temporally aware search queries.
  • Use Case: Before writing a report on "AI in Healthcare," use this skill to gather data on applications, market trends, ethical considerations, and expert opinions from various sources.

Quick Start

Use the deep-research skill to investigate the topic of "quantum computing advancements in 2026".

Frequently Asked Questions about deep-research

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

FAQPage Schema
What is a systematic web research methodology for gathering comprehensive information?

A systematic web research methodology executes multi-phase information gathering, starting with broad exploration, moving to deep dives into specific dimensions, and ensuring diversity and validation of sources. This approach prevents superficial answers and ensures robust data collection.

How do I conduct a deep dive investigation into specific topic dimensions online?

To conduct a deep dive investigation, generate targeted and temporally aware search queries after an initial broad exploration. This allows you to systematically gather comprehensive information on specific dimensions of any given topic.

When do I need to use a multi-phase research process before content generation?

You need a multi-phase research process before content generation to ensure data quality and depth. It proactively gathers comprehensive information, preventing superficial answers and ensuring your generated content is based on robust, validated data.

Can I use targeted query generation to investigate recent market trends and expert opinions?

Yes, targeted query generation provides strategies for effective and temporally aware search queries. It enables you to investigate recent market trends, ethical considerations, and expert opinions from various sources for comprehensive information gathering.

What is the best way to validate diversity of information sources during web research?

The best way to validate source diversity is applying a systematic research methodology that includes explicit diversity checks. This ensures your information gathering encompasses various perspectives and prevents biased or incomplete data collection.