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oma-pdf

Extract PDF text, headings, tables, and images into Markdown using

Install / Use

npx skills add first-fluke/oh-my-agent --skill oma-pdf

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

87/100

Supported Platforms

Universal

Our assessment of oma-pdf

oma-pdf scores 87/100 on our quality scale, 487th of 961 AI & Machine Learning skills we index.

Its SKILL.md is 8.7 KB long, well organised into 25 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.

With 1,324 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
18/20
Description
12/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 11 days ago, so oma-pdf is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

oma-pdf compared with similar skills

All 4 of these similar skills score higher than oma-pdf; compare them before choosing.

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Frequently asked questions

How do I install oma-pdf?
Run npx skills add first-fluke/oh-my-agent --skill oma-pdf. The install tabs above show the steps for each supported agent.
Which AI agents does oma-pdf work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is oma-pdf safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is oma-pdf still maintained?
The repository was last updated 11 days ago, so oma-pdf is actively maintained.

name: oma-pdf description: Extract PDF text, headings, tables, and images into Markdown using opendataloader-pdf. Use for PDF parsing, not PDF layout creation.

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
  • ocr_languages: optional OCR language list for scanned or image-based PDFs
  • extraction_options: optional flags for tagged structure, image extraction, or hybrid conversion

Expected outputs

  • Markdown, text, JSON, HTML, or combined extraction output
  • Normalized Markdown when Markdown is produced
  • A short report with output path, page count, and conversion issues

Dependencies

  • uvx opendataloader-pdf for standard conversion
  • uvx --from "opendataloader-pdf[hybrid]" opendataloader-pdf-hybrid for OCR or hybrid conversion (the hybrid server is a console script of the [hybrid] extra, not a standalone package)
  • uvx mdformat for Markdown normalization
  • Local filesystem access to input and output paths
  • Optional OCR runtime via the hybrid server

Control-flow features

  • Branches on text-layer quality, tagged PDF availability, scan/OCR needs, and user-requested output format
  • Calls external CLI tools through uvx
  • Reads local files and writes local extraction outputs
  • Uses a hybrid server only when OCR or complex extraction needs justify it

Structural Flow

Entry

  1. Confirm that the input path exists and is a PDF file, PDF folder, or supported batch input.
  2. Check file size and warn when the input is large enough to risk slow conversion or memory pressure.
  3. Resolve output_dir and the expected output filename.

Scenes

  1. PREPARE: Validate the input path, output target, and requested extraction options.
  2. ACQUIRE: Assess whether the PDF has a readable text layer by extracting a text preview.
  3. ACT: Convert using standard mode, tagged-structure mode, or hybrid OCR mode.
  4. VERIFY: Run mdformat for Markdown output and inspect the result for readable structure.
  5. FINALIZE: Report output path, page count, format, and any extraction quality issues.

Transitions

  • If the preview text is readable, use standard conversion.
  • If the PDF is tagged and standard output is garbled, retry with --use-struct-tree.
  • If tables are missing or broken, retry with --table-method cluster or --markdown-with-html before escalating to hybrid mode.
  • If the PDF is scanned or image-based, start or reuse the hybrid OCR server and convert with hybrid mode.
  • If conversion fails because the PDF is encrypted, stop and ask for the password or an unlocked copy.
  • If conversion hits memory or size limits, process smaller page ranges into distinct output directories (or append --to-stdout) so repeated runs do not overwrite the same basename.

Failure and recovery

| Failure | Recovery | |---------|----------| | uvx unavailable | Ask user to install uv before conversion | | opendataloader-pdf-hybrid not found | Invoke via uvx --from "opendataloader-pdf[hybrid]" opendataloader-pdf-hybrid; the bare package name does not exist on PyPI | | Password-protected PDF | Ask for password or unlocked PDF | | Garbled output | Retry with tagged structure or hybrid mode | | Missing tables | Retry with --table-method cluster or --markdown-with-html first; hybrid mode for scanned tables | | OCR language mismatch | Retry with explicit OCR languages, for example ko,en | | Large file or memory pressure | Split into page ranges using distinct output directories or --to-stdout; never reuse one output directory for the same basename |

Exit

  • Success: output file exists, Markdown is formatted when applicable, and extracted structure is readable.
  • Partial success: output exists but quality issues are reported explicitly.
  • Failure: no reliable output is produced and the blocking cause is reported.

Logical Operations

Actions

| Action | SSL primitive | Evidence | |--------|---------------|----------| | Validate path and options | VALIDATE | Input preflight in execution protocol | | Probe text layer | READ | Text preview extraction | | Choose conversion strategy | SELECT | Standard, tagged, or hybrid mode decision | | Run converter | CALL_TOOL | uvx opendataloader-pdf | | Start OCR server | CALL_TOOL | uvx --from "opendataloader-pdf[hybrid]" opendataloader-pdf-hybrid | | Write output artifact | WRITE | Markdown, text, JSON, or HTML output | | Normalize Markdown | CALL_TOOL | uvx mdformat | | Inspect extraction quality | VALIDATE | Structure/readability verification | | Report result | NOTIFY | Final user-facing summary |

Tools and instruments

  • opendataloader-pdf: primary PDF extraction CLI
  • opendataloader-pdf-hybrid: hybrid OCR and complex extraction path
  • mdformat: Markdown normalization
  • Filesystem commands such as file, wc, or pdfinfo may be used for preflight when available

Canonical command path

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}"

For scanned/image-based PDFs, start OCR first and then convert through hybrid mode:

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}"

On-request flags — --sanitize (PII masking), --pages (range extraction), --threads (parallel pages), --detect-strikethrough, hybrid --enrich-formula / --enrich-picture-description — are detailed in resources/execution-protocol.md. The two enrichment flags require client-side --hybrid-mode full.

Resource scope

| Scope | Resource target | |-------|-----------------| | LOCAL_FS | Input PDFs and generated output files | | PROCESS | uvx subprocesses and optional hybrid server | | MEMORY | Extracted previews and validation notes | | OTHER | OCR model/runtime behavior inside hybrid mode |

Preconditions

  • The input PDF path exists and is readable.
  • The output location is writable or can be created.
  • Required CLIs are available through uvx.
  • OCR is only attempted when hybrid mode is available or can be started.
  • Defaults come from the pdf: section of .agents/oma-config.yaml, falling back to config/pdf-config.yaml for unset keys; explicit user options override both, and output.overwrite: false requires confirmation before replacing an existing output file.

Effects and side effects

  • Creates or overwrites extraction output depending on configuration and user intent.
  • May start a local hybrid OCR server on the configured port.
  • May consume significant CPU, memory, or time for large or scanned PDFs.
  • Does not intentionally modify the source PDF.

Guardrails

  1. Do not invent missing content when extraction is incomplete.
  2. Always report garbled text, missing tables, OCR uncertainty, or partial extraction.
  3. Prefer standard conversion first when the text layer is readable.
  4. Use OCR only when the PDF is scanned, image-based, or standard extraction quality is insufficient.
  5. Keep detailed command sequences in resources/execution-protocol.md rather than duplicating every variant here.

References

  • Execution protocol: resources/execution-protocol.md
  • Configuration: read the pdf: section of .agents/oma-config.yaml first, then fall back to config/pdf-config.yaml for any key it does not set. User overrides belong in .agents/oma-config.yaml, since oma update overwrites the skill config.
  • Context loading: ../_shared/core/context-loading.md
  • Quality principles: ../_shared/core/quality-principles.md

Related Skills

View on GitHub
GitHub Stars1.3k
CategoryAI
Updated11d ago
Forks151

Languages

TypeScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions