paper-summarize

To summarize a research paper PDF, this Skill processes the document using the QLMRI framework and automatically updates your literature database files, including index.yaml and references.bib. It handles paper processing, figure extraction, and database synchronization for scientific literature management.

The QLMRI framework is a structured summarization method that extracts key information from research papers by organizing it into Questions, Logic, Methods, Results, and Inferences. This ensures consistent and comprehensive coverage of core scientific contributions.

You can automatically add new paper citations to a BibTeX file by processing your PDFs through this Skill. It manipulates your references.bib file directly via Python scripts, ensuring your bibliography stays synchronized with your organized library.

Yes, you can extract figures from a PDF while generating a literature review summary. The Skill identifies and optionally extracts key figures from research papers during the summarization process to support your literature database management.

Yes, you need pyyaml installed to manage a YAML literature database with this Skill. The Python scripts rely on this dependency to manipulate the index.yaml file and synchronize your research paper database correctly.

The best way to organize a literature review database from PDF sources is to automate extraction using the QLMRI framework. This approach simultaneously generates structured summaries, updates your index.yaml, and synchronizes references.bib for consistent database management.