deep-research

The deep-research skill is designed to act as a comprehensive research assistant, capable of synthesizing information from multiple sources and providing well-cited analysis. It addresses the challenge of efficiently conducting in-depth research, allowing users to gather reliable data, evaluate multiple perspectives, and generate structured summaries with citations. By systematizing the research process, this skill ensures that findings are thorough, credible, and presented in a clear, organized manner, reducing the time and effort typically required for complex investigations.

Key features of this skill include a structured research workflow, starting from clarifying the research question and identifying key aspects, to gathering information from diverse sources and synthesizing findings. It emphasizes source evaluation, prioritizing peer-reviewed journals, authoritative reports, reputable news, and expert commentary, while also indicating confidence levels and highlighting areas of consensus or debate. The output is formatted into executive summaries, key findings, detailed analyses by subtopic, and documented sources, enabling both quick insights and deep understanding. The skill also guides the user in highlighting gaps and further research opportunities, making it suitable for iterative or exploratory investigations.

This skill is ideal for researchers, students, analysts, and professionals who require high-quality, evidence-based research outputs. It can be applied to academic projects, market analysis, policy research, or any task demanding synthesis of information from multiple perspectives. Users benefit from concise executive summaries, structured findings, and rigorous citation practices, while also having visibility into the credibility and reliability of sources. The skill caters to those who need a combination of depth, clarity, and systematic documentation in their research workflows.