Extract text, figures, captions, and page previews from local PDFs.
npx skills add https://github.com/Void0312Aurora/RAAS --skill pdf-processing-void0312aurora
Please help me install this Agent Skill. Skill: pdf-processing Source: https://github.com/Void0312Aurora/RAAS/tree/main/skills/pdf-processing Command: npx skills add https://github.com/Void0312Aurora/RAAS --skill pdf-processing-void0312aurora
This Skill captures high-fidelity textual and visual evidence from local PDFs before planning or implementation, reducing guesswork and rework.
Provide the PDF file to this Skill and run the workflow to generate the artifacts in the workspace (e.g., artifacts/raw_text.txt, artifacts/figure_context.txt, artifacts/page_previews/).
High-intent search queries and answers about installing and using this skill.
To extract text and figures from a PDF, provide the local file to the workflow. It deterministically pulls full text, detects figures, recovers captions, and generates artifacts like raw_text.txt and figure_context.txt for downstream planning and auditability.
Figure context recovery in PDF document processing captures visual page previews and surrounding captions to reproduce results and verify provenance. It generates page images under artifacts/page_previews/ to ensure downstream tasks have reliable visual evidence.
PDF text extraction includes an OCR fallback to ensure reliable evidence retrieval. If standard text extraction fails or yields poor results, the OCR fallback activates to capture textual evidence from the local PDF document.
You can generate an audit trail for extracted PDF evidence through deterministic artifact generation. The workflow persists files such as artifacts/raw_text.txt, artifacts/figure_context.txt, and artifacts/page_previews/ to enable full auditability and provenance verification.
The best way to verify parameter provenance from local PDFs is rendering page previews and capturing figure context. This Skill generates artifact files that document the exact visual and textual evidence source, reducing guesswork and rework.
Deterministic PDF artifact generation applies to local workflows where PDFs are the primary evidence source. It focuses on reliable text extraction and figure reproduction but may require additional processing for heavily encrypted or non-standard PDF formats.
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