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.
claude install dzhng/deep-researchDeep 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.
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.
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.
claude install dzhng/deep-researchgit clone https://github.com/dzhng/deep-researchCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
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.
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.
Create and collaborate on interactive animations with powerful, user-friendly tools.
Streamline talent acquisition with collaborative tools and customizable interview processes.
Unlock data insights with interactive dashboards and collaborative analytics capabilities.
Transforming note-taking into networked thought
Powerful quantitative forecasting models
Take a free 3-minute scan and get personalized AI skill recommendations.
Take free scan