What problem does it solve?
It eliminates the hard, time-consuming work of manually planning, executing, cross-checking, and writing a literature review by turning your existing directory materials into an evidence-based, publication-style research paper.
Core Features & Use Cases
- File-first research discovery: Reads every file in your active directory to extract topics, claims, limitations, and open questions, then builds a structured research seed with explicit gaps.
- Exhaustive multi-round literature reconnaissance: Runs multiple diversified search rounds using web search plus Brightdata scraping tools, builds a live knowledge map, and then deep-dives top sources by reading full texts.
- Gap-driven, thesis-first writing: Selects an unaddressed gap, stress-tests the thesis with counterevidence searches, constructs an argument architecture, and writes a research paper that distinguishes novel contribution from prior work.
- Publication-quality PDF output: Follows the academic-paper skill to format and generate the final PDF with consistent citations, figures, tables, and a quality gate.
Quick Start
Ask Claude to "find what's missing in the literature from the files in my active directory and write a novel research paper, then produce the final PDF."