Skills

Deep Web Research

Researches a question from several angles before answering, instead of one quick search.

Install

npx skills add bytedance/deer-flow --skill deep-research -g -a claude-code -y
Repository
bytedance/deer-flow84.8k
Category
AI and agents
Updated
3d ago
License
MIT
Context cost
Mediumabout 1,860 tokens
Runs scripts
No, instructions only

What it does

Use this skill instead of WebSearch for ANY question requiring web research. Trigger on queries like "what is X", "explain X", "compare X and Y", "research X", or before content generation tasks. Provides systematic multi-angle research methodology instead of single superficial searches. Use this proactively when the user's question needs online information.

Deep Research Skill

Overview

This skill provides a systematic methodology for conducting thorough web research. Load this skill BEFORE starting any content generation task to ensure you gather sufficient information from multiple angles, depths, and sources.

When to Use This Skill

Always load this skill when:

Research Questions

  • User asks "what is X", "explain X", "research X", "investigate X"
  • User wants to understand a concept, technology, or topic in depth
  • The question requires current, comprehensive information from multiple sources
  • A single web search would be insufficient to answer properly

Content Generation (Pre-research)

  • Creating presentations (PPT/slides)
  • Creating frontend designs or UI mockups
  • Writing articles, reports, or documentation
  • Producing videos or multimedia content
  • Any content that requires real-world information, examples, or current data

Core Principle

Never generate content based solely on general knowledge. The quality of your output directly depends on the quality and quantity of research conducted beforehand. A single search query is NEVER enough.

Research Methodology

Phase 1: Broad Exploration

Start with broad searches to understand the landscape:

  1. Initial Survey: Search for the main topic to understand the overall context
  2. Identify Dimensions: From initial results, identify key subtopics, themes, angles, or aspects that need deeper exploration
  3. Map the Territory: Note different perspectives, stakeholders, or viewpoints that exist

Example:

Topic: "AI in healthcare"
Initial searches:
- "AI healthcare applications 2024"
- "artificial intelligence medical diagnosis"
- "healthcare AI market trends"

Identified dimensions:
- Diagnostic AI (radiology, pathology)
- Treatment recommendation systems
- Administrative automation
- Patient monitoring
- Regulatory landscape
- Ethical considerations

Phase 2: Deep Dive

Read the whole SKILL.md on GitHub

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