What problem does it solve?
It eliminates the time-consuming process of drafting research papers by coordinating planning, evidence-grounded writing, citation management, validation, and visualizations into a single end-to-end workflow for AI coding agents.
Core Features & Use Cases
- Enterprise-grade autonomous paper generation: produces full papers including empirical studies, literature reviews, theses, whitepapers, surveys, and policy briefs.
- Rigor-first methodology + validation: enforces an end-to-end research pipeline with peer-review simulation and a publication checklist gate.
- Citation-grounded academic writing: supports Harvard/APA/IEEE/MLA/Chicago/Nature/arXiv-numeric styles with a single canonical bibliography source and anti-hallucination controls.
- Visual-by-default outputs: generates figures and tables (including chart fallback mechanisms) and includes them as part of the delivery contract.
Quick Start
Use this skill to write a rigorous, citation-heavy research paper on graph neural networks for fraud detection in IEEE style by running /research "graph neural networks for fraud detection" --style ieee.