agent-survey-corpus

To extract text from arXiv survey PDFs for writing style analysis, this Skill fetches open-access documents and processes up to 20 pages per PDF, storing the extracted text under `ref/agent-surveys/text/`.

Yes, you can download LLM agent survey papers from arXiv to study their section structure by providing arXiv IDs in the `ref/agent-surveys/arxiv_ids.txt` file, which the Skill uses to fetch and extract the PDF text.

Yes, you need network access to extract text from arXiv PDFs for corpus building because the Skill must download the open-access survey documents directly from arXiv before processing them.

The best way to analyze the writing style of academic survey papers is to extract their text content and examine sectioning, subsection granularity, and rhetorical patterns, which this Skill automates for LLM agent surveys.

Yes, PyMuPDF works for extracting text from LLM agent review papers. The Skill uses the `fitz` and `PyMuPDF` dependencies to parse the downloaded arXiv PDFs and extract their text content.

Limitations of downloading arXiv survey PDFs for style learning include processing a maximum of 20 pages per PDF and requiring the papers to be open-access, which may restrict the available corpus.