Convert PDF documents into structured Markdown for LLM and RAG use.
npx skills add https://github.com/gracefullight/krds --skill oma-pdf-gracefullight
Please help me install this Agent Skill. Skill: oma-pdf Source: https://github.com/gracefullight/krds/tree/main/.agents/skills/oma-pdf Command: npx skills add https://github.com/gracefullight/krds --skill oma-pdf-gracefullight
This Skill eliminates the manual effort of reading and restructuring PDF documents by converting them into readable, structured Markdown suitable for LLM context, RAG pipelines, review, and downstream processing.
Use this Skill to convert the file at input_path into Markdown in output_dir for AI-ready document extraction and review.
High-intent search queries and answers about installing and using this skill.
To convert PDF to Markdown for LLM context, the tool extracts structured text, headings, lists, and tables while preserving reading order. It then normalizes the Markdown output, making it ready for downstream RAG ingestion.
Yes, you can extract tables from scanned PDFs using OCR. The tool detects when a PDF lacks a strong text layer and automatically switches to hybrid OCR extraction to recover content from image-based documents.
The best way to batch convert PDFs is to point the tool at a folder directory. It validates input paths and processes the entire batch, applying standard or hybrid OCR strategies to generate normalized Markdown output.
PDF to Markdown extraction preserves document reading order. The conversion process maintains the logical sequence of headings, lists, tables, and images, ensuring the structured Markdown remains coherent for downstream LLM processing.
Markdown normalization improves extracted PDF text by running formatting tools to produce consistent, standardized output. This normalized text is easier to consume, search, and process within downstream AI review and retrieval systems.
No, you do not need a separate tool for tagged-text PDF extraction. The tool automatically chooses between standard, tagged, and hybrid OCR strategies based on the PDF's structure and text layer quality.
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