document-processor

To analyze PDF, PPTX, and Excel documents without context bloat, this skill processes files within a dedicated sub-context. It reads and edits files across batches, returning concise structured YAML summaries to reduce main-context load.

Yes, you can extract data and edit slides in batch workflows. The skill supports reading, editing, and analyzing multiple PDF, PPTX, and Excel files simultaneously, enabling scalable document workflows with deterministic operations.

Yes, this document-processing approach works by leveraging Python libraries including PyMuPDF, python-pptx, openpyxl, pdf2image, and Pillow to handle reading, editing, and analyzing various file formats deterministically.

The best way to get structured summaries from large PDF and Excel files is using this isolated processing skill. It analyzes documents in a dedicated sub-context and returns structured YAML summaries suitable for downstream tasks.

You should use an isolated sub-agent for document processing to prevent bloating the main agent context. By isolating the task, it reduces context usage, handles multiple formats across batches, and returns concise results.

The skill provides deterministic operations for editing PPTX and PDF files within scalable batch workflows. It focuses on returning concise summaries, but relies on specific Python dependencies like PyMuPDF and python-pptx to execute these modifications.