Install the pdf skill to handle common PDF tasks such as reading files, extracting text, merging and splitting pages, filling forms, converting PDFs to images, and working with scanned documents.

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CategoryPDF Processing
Install Command
npx skills add https://github.com/anthropics/skills --skill pdf
Overview

Overview

What the pdf skill is

The pdf skill is a practical guide for PDF processing workflows inside the Anthropic skills repository. It is designed for situations where you need to work with PDF files end to end: reading documents, extracting text, combining or splitting files, handling form workflows, converting pages to images, and dealing with scanned PDFs that may require OCR.

The repository guidance explicitly positions pdf as the skill to use whenever a task involves a .pdf file or when the goal is to produce one. The included materials also point users to Python-based approaches for common operations and provide helper scripts for form inspection and page-image generation.

Who this skill is for

This skill is a good fit for:

  • Developers building PDF automation into internal tools or agents
  • Operations teams processing forms and document packets
  • Knowledge workers extracting text from PDFs for downstream analysis
  • Anyone who needs a repeatable workflow for PDF handling instead of ad hoc manual steps

It is especially useful if your workflow includes PDF forms, because the repository includes dedicated instructions in forms.md and helper scripts for checking whether fields are fillable and extracting field information.

What problems the pdf skill helps solve

Based on the repository instructions, the pdf skill is intended for tasks such as:

  • Reading PDF files in Python
  • Extracting text from pages
  • Merging multiple PDFs into one file
  • Splitting a PDF into separate pages
  • Working with fillable and non-fillable PDF forms
  • Converting PDF pages into images
  • Inspecting bounding boxes and validating form extraction output
  • Exploring advanced PDF tooling through reference.md

The repository overview also states that the skill can be used for broader PDF jobs including table extraction, page rotation, watermarking, image extraction, encryption and decryption, and OCR on scanned PDFs. For advanced examples and additional libraries, it points readers to reference.md.

What is included in the repository

The pdf skill directory includes a small but useful set of files:

  • SKILL.md for the main workflow and quick-start guidance
  • forms.md for PDF form handling instructions
  • reference.md for advanced libraries and examples
  • scripts/check_fillable_fields.py to detect whether a PDF has fillable fields
  • scripts/extract_form_field_info.py and related form scripts for structured field inspection and filling workflows
  • scripts/convert_pdf_to_images.py to render PDF pages as PNG files
  • scripts/check_bounding_boxes.py and scripts/create_validation_image.py to validate field geometry visually

This makes the skill more than a generic summary: it gives you installation-level guidance plus concrete helper scripts you can evaluate before adopting it.

When the pdf skill is a good fit

Use pdf when:

  • You want a starting point for Python-based PDF work
  • You need a documented form-processing workflow
  • You need to convert PDFs to page images for review or downstream processing
  • You want repository-provided examples rather than building a workflow from scratch

When the pdf skill may not be the best fit

This skill may be less suitable if:

  • You need a fully packaged standalone PDF application rather than guidance and scripts
  • Your workflow depends on a specific non-Python stack and you do not want to adapt examples
  • You need guaranteed support for every advanced PDF edge case without reviewing the referenced materials

In those cases, the pdf skill can still be useful as a reference, but you should inspect reference.md, your runtime requirements, and any library constraints before deciding.

How to Use

Install the pdf skill

Install the pdf skill from the Anthropic skills repository with:

npx skills add https://github.com/anthropics/skills --skill pdf

This is the fastest way to add the skill to your local skills setup.

Review the key files first

After installation, start with these files in order:

  • SKILL.md
  • forms.md
  • reference.md
  • scripts/check_fillable_fields.py
  • scripts/convert_pdf_to_images.py

This reading order helps you understand the main workflow, the special-case form workflow, and the available helper scripts before you begin writing custom code.

Start with the basic PDF workflow

The core quick start in SKILL.md uses pypdf for basic PDF processing. That makes the skill a practical entry point if your main need is to:

  • Open a PDF
  • Count pages
  • Extract text page by page
  • Merge or split documents

If you are evaluating installation effort, this is a strong sign that the skill is centered on commonly used Python PDF tooling rather than a proprietary runtime.

Use the form workflow carefully

If your task involves form filling, do not jump straight into writing automation. The repository gives a specific sequence in forms.md:

  1. Check whether the PDF has fillable fields with python scripts/check_fillable_fields.py <file.pdf>
  2. If it is fillable, extract form field details with python scripts/extract_form_field_info.py <input.pdf> <field_info.json>
  3. Use the resulting metadata to understand field IDs, page numbers, bounding boxes, and field types
  4. Validate geometry and output using the supplied checking and image scripts where needed

This workflow is valuable because PDF forms often fail when teams assume all documents are structured the same way. The included scripts help reduce that risk.

Convert PDF pages to images when needed

If you need page-level image output, the repository includes scripts/convert_pdf_to_images.py. This is useful when:

  • You need PNG previews of PDF pages
  • You want image-based review for scanned documents
  • You are preparing inputs for visual inspection or OCR-related steps

The script converts pages to PNG and resizes large images to a maximum dimension, which can be helpful for lighter downstream handling.

Use validation helpers for document accuracy

For form-heavy workflows, the repository includes validation-oriented scripts such as:

  • scripts/check_bounding_boxes.py
  • scripts/create_validation_image.py

These are useful when your process depends on field positions, labels, and entry areas being correctly identified. Instead of trusting extracted coordinates blindly, you can inspect and validate them.

Explore advanced options in reference.md

If your use case goes beyond basic pypdf operations, review reference.md. The repository includes examples and notes for additional libraries, including:

  • pypdfium2 for rendering and text extraction workflows
  • pdf-lib for JavaScript-based PDF manipulation

That makes the pdf skill relevant not only for basic Python file handling but also for broader PDF and format-conversion workflows.

Practical adoption checklist

Before using the pdf skill in production, check:

  • Whether your tasks are mostly text extraction, form handling, or image conversion
  • Whether your environment supports the Python libraries referenced in the files you plan to use
  • Whether your PDFs are digitally generated or scanned
  • Whether you need visual validation for field placement
  • Whether a Python-first workflow fits your stack

Licensing note

The repository includes LICENSE.txt stating that the materials are proprietary and governed by your agreement with Anthropic regarding use of its services. Review those terms before relying on the skill in internal or external workflows.

FAQ

What is the pdf skill mainly used for?

The pdf skill is mainly used for practical PDF processing tasks such as reading PDFs, extracting text, merging and splitting files, handling forms, converting PDF pages into images, and supporting scanned-document workflows.

How do I install the pdf skill?

Install it with npx skills add https://github.com/anthropics/skills --skill pdf.

Does the pdf skill support PDF forms?

Yes. The repository includes a dedicated forms.md workflow plus scripts for checking whether a PDF has fillable fields, extracting field metadata, and filling or validating forms.

Can the pdf skill help with scanned PDFs and OCR workflows?

Yes, the repository description says the pdf skill should be used for OCR on scanned PDFs to make them searchable. It also includes page-to-image conversion tooling that can support scanned-document workflows.

Which files should I read first after installing pdf?

Start with SKILL.md, then review forms.md if your task involves forms, and reference.md for advanced libraries and examples. After that, inspect the relevant scripts/ files for the workflow you plan to use.

Does the pdf skill only work with Python?

No. The main quick-start material centers on Python libraries such as pypdf, but reference.md also includes JavaScript-oriented material such as pdf-lib. In practice, though, the included helper scripts shown in the repository are Python-based.

Is pdf a good fit for simple PDF merging and text extraction?

Yes. The repository quick start and main examples make pdf a sensible choice for common tasks like reading PDFs, extracting page text, merging documents, and splitting files.

When should I not choose the pdf skill?

If you need a turnkey desktop tool, a fully managed document-processing service, or a stack with no interest in adapting repository guidance, the pdf skill may not be the best primary solution. It is strongest as an installable skill and implementation guide for document workflows.

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