Auto Deep Research Guide

A skill for conducting automated, in-depth research investigations that go beyond surface-level searches to produce comprehensive, well-sourced reports on any academic topic. Based on Auto-Deep-Research (1K stars), this skill implements iterative search-analyze-refine cycles that progressively deepen understanding of a research topic.

Overview

Deep research differs from simple literature search in its depth and synthesis. Rather than returning a list of papers, deep research produces a structured understanding of a topic: its history, current state, key debates, methodological approaches, open questions, and future directions. This skill automates the iterative process that expert researchers perform manually, cycling through search, reading, analysis, and question refinement until a satisfactory depth of understanding is achieved.

The approach is particularly valuable for researchers entering a new field, preparing comprehensive literature reviews, writing grant proposals that require thorough background knowledge, or advising students on topics adjacent to their own expertise.

Deep Research Methodology

The automated deep research process follows a structured methodology: