paper-summary-jsonv1.0.0

Researchers upload multiple PDF papers to quickly extract structured metadata including title, task, method, results, and evidence spans. The system generates consistent verification reports, saving hours of manual extraction.

Analysts input URLs of competitor technical reports to automatically produce structured comparisons of methods, datasets, and results. The consistency verification highlights gaps or unsupported claims.

Authors writing survey papers use the skill to process dozens of papers, extracting contributions and limitations into a unified report format. The evidence spans help ensure citations are accurate.

Researchers analyze prior art in their field by feeding relevant papers into the system. The structured output helps them position their proposed work with clear problem statements and baseline comparisons.

Graduate students learn to critique papers by comparing their own analysis with the skill's structured extraction and verification reports, improving their understanding of research methodology.

Universities and corporate labs pay a monthly fee per seat to use the skill via a cloud interface, enabling batch analysis of papers with customizable output language.

Basic extraction is free for limited papers; users pay a per-export fee for verification reports or Word/HTML exports, targeting independent researchers and students.

Large organizations deploy the skill on their own infrastructure for complete data privacy. Includes custom integration with existing document management systems.