Read and create PDF documents entirely on-device - no cloud, no API keys. For reading, uses Docling (IBM's document AI) to turn a PDF into structured JSON, Markdown, text, or HTML with real layout understanding: extracted tables (as headers/rows + HTML), section/heading hierarchy, page images, and optional OCR for scanned pages (native macOS Vision OCR). For writing, uses fpdf2 to render a professional, multi-page PDF from a simple JSON config - titles, headings, justified paragraphs, styled tables with alternating rows, images with captions, bullet/numbered lists, key-value KPI blocks, dividers, headers and footers with page numbers. Use when the user wants to read, parse, extract, or inspect a PDF (text, tables, or structure), scrape data out of a PDF, OCR a scanned PDF, or generate/create a polished PDF report, invoice, proposal, or data sheet from data.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryGeneralStars0
About this skill
Read and create PDF documents entirely on-device - no cloud, no API keys. For reading, uses Docling (IBM's document AI) to turn a PDF into structured JSON, Markdown, text, or HTML with real layout understanding: extracted tables (as headers/rows + HTML), section/heading hierarchy, page images, and optional OCR for scanned pages (native macOS Vision OCR). For writing, uses fpdf2 to render a professional, multi-page PDF from a simple JSON config - titles, headings, justified paragraphs, styled tables with alternating rows, images with captions, bullet/numbered lists, key-value KPI blocks, dividers, headers and footers with page numbers. Use when the user wants to read, parse, extract, or inspect a PDF (text, tables, or structure), scrape data out of a PDF, OCR a scanned PDF, or generate/create a polished PDF report, invoice, proposal, or data sheet from data.
Quick start
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Read and create PDF documents entirely on-device - no cloud, no API keys. For reading, uses Docling (IBM's document AI) to turn a PDF into structured JSON, Markdown, text, or HTML with real layout understanding: extracted tables (as headers/rows + HTML), section/heading hierarchy, page images, and optional OCR for scanned pages (native macOS Vision OCR). For writing, uses fpdf2 to render a professional, multi-page PDF from a simple JSON config - titles, headings, justified paragraphs, styled tables with alternating rows, images with captions, bullet/numbered lists, key-value KPI blocks, dividers, headers and footers with page numbers. Use when the user wants to read, parse, extract, or inspect a PDF (text, tables, or structure), scrape data out of a PDF, OCR a scanned PDF, or generate/create a polished PDF report, invoice, proposal, or data sheet from data.
About this listing
Category
General
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.