file-reading

To read uploaded PDF and DOCX files without binary garbage, use file type dispatch to route reading methods based on file extension, avoiding incorrect command usage like cat on binary formats. This ensures you extract readable text instead of corrupted characters.

The best way to extract key findings from a large PDF report without context bloat is using efficient context management that loads only the minimum content needed. This prevents flooding your context with unnecessary data from large files.

Yes, you can read CSV and JSON files efficiently for quick content peeks by dispatching to type-specific reading tools. This approach limits context load to necessary content, preventing context bloat from large structured files.

File reading works with images and archive files by applying type-specific dispatch to handle all common file types. It avoids incorrect command usage on binary formats, ensuring safe extraction of necessary content from these complex structures.

Running cat on uploaded files fails for binary formats because naive methods cannot parse encoded structures in PDFs, DOCX, or images. They produce garbage output or flood context with unnecessary data from large files.

You need a specialized skill instead of basic file extraction when advanced operations are required beyond simple reading. The file-reading skill delegates complex document analysis to dedicated specialized skills while handling efficient content loading.