deep-research

🥇Gold

Deep Research is an AI-driven assistant that conducts thorough, iterative research on any topic by leveraging search engines, web scraping, and advanced language models. It refines its research focus over time, making it ideal for in-depth exploration.

18,5671,9020Updated Today

Intermediate30 minutes to implementresearch

Saves ~180 min per use

Quick InstallView Source

claude install dzhng/deep-research

Works with:

ChatGPT

Overview

About This Skill

How to Use

1. Start with a clear, specific topic to ensure focused research. 2. Use Mode to visualize data trends and identify gaps in your initial findings. 3. Iterate by asking the AI to refine its focus based on emerging themes. 4. Request a structured report with clear insights and actionable recommendations. 5. Verify citations and cross-reference with additional sources to ensure accuracy.

Use Cases

Conducting market research to identify potential opportunities for new product launches.

Gathering competitive intelligence to analyze competitors' strengths and weaknesses.

Exploring emerging industry trends to stay ahead in the market.

Creating detailed reports on specific topics to support strategic decision-making.

Best For

GrowthMarketing

Setup & Installation

Quick Install

Terminal

claude install dzhng/deep-research

Alternative Install (Git Clone)

git clone https://github.com/dzhng/deep-research

Requirements

Claude Code or compatible AI agent
Works with: ChatGPT

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Conduct deep research on [TOPIC]. Start by summarizing the key findings from the first 10 search results. Then, refine your focus based on emerging themes and dive deeper into the most promising areas. Finally, synthesize your findings into a structured report with clear insights and actionable recommendations. Include citations for all sources.

Example Output

After conducting a deep research on the topic of 'sustainable urban planning,' the AI assistant first summarized key findings from initial search results, highlighting trends like green infrastructure, public transportation, and community engagement. It then refined its focus on the intersection of green infrastructure and public health, diving deeper into case studies from cities like Copenhagen and Singapore. The final report synthesized these findings into a structured analysis, recommending that urban planners prioritize green spaces within a 10-minute walk of all residents, integrate vertical gardens into public buildings, and use data-driven approaches to measure the health impacts of these initiatives. The report cited sources from urban planning journals, city government websites, and recent studies on public health outcomes.