Agent skill · Data & Analytics

oma-pdf

Convert PDF files to Markdown using opendataloader-pdf. Extracts text, tables, headings, lists, and images with correct reading order. Use for PDF parsing, PDF to Markdown conversion, document extraction, and AI-ready data preparation.

first-flukegithub.com/first-flukeGitHub ↗
claude-codecodexcursorMIT
Install
npx skills add first-fluke/oh-my-agent --skill oma-pdf --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 9 KB
Bundled scripts: none
Path: .agents/skills/oma-pdf/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,204
Language: TypeScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# PDF Skill - PDF to Markdown Conversion ## Scheduling ### Goal Convert PDF files into structured Markdown or another requested extraction format while preserving readable document structure for LLM context, RAG, or downstream review. ### Intent signature - User asks to convert, parse, read, extract, or transform a PDF. - User needs PDF text, headings, lists, tables, or images prepared for AI consumption. - User mentions "PDF to markdown", "parse PDF", "read this PDF", or equivalent wording. ### When to use - Converting PDF documents to Markdown for LLM context or RAG - Extracting structured content such as tables, headings, lists, images, footnotes, or hyperlinks - Preparing PDF data for AI consumption - Checking whether a PDF has a text layer before choosing OCR ### When NOT to use - Generating or creating PDFs -> use document-generation tools - Editing existing PDFs -> out of scope - Reading an already-text file -> use direct file reading - Processing HWP, HWPX, DOCX, XLSX, or slide decks -> use the matching document skill ### Expected inputs - `input_path`: PDF file or folder path - `output_dir`: optional target directory - `format`: optional output format, default `markdown` -

What's inside
Steps it walks through
  1. Scheduling
  2. Goal
  3. Intent signature
  4. When to use
  5. When NOT to use
  6. Expected inputs
  7. Expected outputs
  8. Dependencies
  9. Control-flow features
  10. Structural Flow
  11. Entry
  12. Scenes
  13. Transitions
  14. Failure and recovery
Ships with 2 files
  • config/pdf-config.yaml
  • resources/execution-protocol.md
Commands it runs
uvx opendataloader-pdf "{input_path}" -f text --pages 1-3 --to-stdout -q   # text-layer probe (no temp files)
uvx opendataloader-pdf "{input_path}" --format markdown --output-dir "{output_dir}"
uvx mdformat "{output_path}"
uvx --from "opendataloader-pdf[hybrid]" opendataloader-pdf-hybrid --port 5002 --force-ocr --ocr-lang "{languages}"
uvx opendataloader-pdf --hybrid docling-fast --hybrid-mode full "{input_path}" --format markdown --output-dir "{output_dir}"
More from oh-my-agent
All skills →
About this skill
What does the oma-pdf skill do?

Convert PDF files to Markdown using opendataloader-pdf. Extracts text, tables, headings, lists, and images with correct reading order. Use for PDF parsing, PDF to Markdown conversion, document extraction, and AI-ready data preparation.

How do I install it?

Run `npx skills add first-fluke/oh-my-agent --skill oma-pdf --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From first-fluke/oh-my-agent, a repository with 1,204 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going