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Pdf

Checked
davepoon·vlatest·writing·MIT

Extracts text, tables, and images from PDF documents accurately and reliably using advanced OCR technology.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davepoon/buildwithclaude --skill pdf -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davepoon

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned davepoon/buildwithclaude at fc03a95b41.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
fc03a95b41
Manifest
plugins/all-skills/skills/pdf/SKILL.md
Scanned
12 files, 1,779 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables an AI agent to process PDF documents using Python libraries. Specifically, it allows for reading PDFs, extracting text and tables from them, merging multiple PDFs into a single document, splitting a PDF into individual pages, rotating pages within a PDF, and extracting metadata like title, author, subject, and creator. It leverages pypdf for basic operations and pdfplumber for more advanced text and table extraction with layout preservation.

When to use it

  • You need to extract the text content from a PDF document.
  • You want to combine multiple PDF files into one larger file.
  • You require individual pages from a PDF as separate files.
  • You need to retrieve metadata (title, author, etc.) associated with a PDF.
  • You are working with PDFs containing tables and need to extract that data.

Key capabilities

  • PDF Reading: Opens and reads PDF documents using pypdf.
  • Text Extraction: Extracts text content from PDF pages.
  • Table Extraction: Extracts tabular data, preserving layout, using pdfplumber.
  • PDF Merging: Combines multiple PDF files into a single output file.
  • PDF Splitting: Separates a PDF document into individual page files.
  • Metadata Extraction: Retrieves metadata such as title, author, and subject from PDFs.
  • Page Rotation: Rotates pages within a PDF document.

Example prompts

  • "Extract the text from this PDF: [PDF file]"
  • "Merge these PDF documents into one file: doc1.pdf, doc2.pdf."
  • "Split 'input.pdf' into individual page files."
  • "What is the title and author of this PDF document?"

Tips & gotchas

  • This skill relies on Python libraries (pypdf and pdfplumber). Ensure these dependencies are available in the environment where the agent is running.
  • The accuracy of text and table extraction depends heavily on the quality and structure of the original PDF. Complex layouts or scanned documents may yield less accurate results.