research

The 'research' skill offers intelligent orchestration of specialized agents to systematically conduct research on a given topic. It solves the problem of fragmented research workflows by combining multiple expert agents that can work in harmony to cover various aspects of the research process. Whether it’s conducting a literature review, detecting biases, formulating hypotheses, or analyzing data, this skill streamlines the entire research process by leveraging automation and expert knowledge. Users can expect an end-to-end solution that assists in every stage of research, from planning to synthesis, making research projects more efficient and comprehensive.

Main features of this skill include an agent registry with diverse functionalities: academic search and citation chaining (literature-reviewer), bias and fallacy detection (critical-analyzer), hypothesis exploration (hypothesis-explorer), cross-domain analogy generation (lateral-thinker), and statistical analysis (quant-analyst). The orchestration process includes classifying the query, selecting agents, generating a plan, executing the plan, and synthesizing the results into a final report. The skill also offers a flexible file writing protocol to save research outputs in an organized manner. With modes for interactive, automatic, and manual operation, the skill can adapt to various user preferences and project needs.

The 'research' skill is ideal for academic researchers, data scientists, and professionals who need a structured approach to conducting research. It is also highly beneficial for grant writers, manuscript evaluators, and anyone working on projects that require extensive literature review, hypothesis testing, or statistical analysis. The ability to orchestrate multiple agents to conduct in-depth research and provide a clear synthesis is especially useful for users in academic and professional settings who require thorough, well-organized, and documented research outputs.