split-pdf

To split a long academic PDF for literature review, this Skill automatically divides the document into 4-page chunks and generates structured notes for each batch. It processes three chunks at a time to prevent context-window overload and ensure thorough comprehension.

To take structured reading notes without hitting model limits, the Skill enforces deterministic 4-page PDF chunking and batched reading with pause-and-confirm prompts. It writes extracted research questions, methods, and findings directly to a notes.md file.

The best way to batch read a 40-page paper is processing ten 4-page chunks sequentially with pause-and-confirm prompts. This approach ensures accuracy by updating structured notes after each batch, preventing context loss across the document.

Yes, you can use this PDF splitting approach for reproducible research because it enforces deterministic chunking and writes structured extractions to notes.md. This generates a consistent reading notes document containing data sources, methods, and replication feasibility.

The generated notes.md file includes structured sections for research questions, data sources, methods, findings, and replication feasibility. These categories are extracted during batched reading to support thorough academic literature reviews.

No dependencies are required to split PDFs and generate structured notes. You simply provide a local PDF path to begin the automatic 4-page chunking process and generate the structured reading notes document.