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Pdf Processing

Listed
davila7·vlatest·writing·MIT

Extracts text, tables, and images from PDFs; summarizes content, answers questions, and converts to other formats.

Repository

Install on your platform

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

Installs under a different name. Its SKILL.md names it pdf, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --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

davila7

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.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 457 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as davila7/claude-code-templates.
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 AI agents to extract, analyze, and manipulate data from PDF documents. It supports text extraction, table parsing, and metadata retrieval, making it useful for processing structured or unstructured content in PDFs.

When to use it

  • Extracting key information from legal or academic PDFs for summaries or research.
  • Parsing tables in financial reports for further analysis or visualization.
  • Automating document workflows by converting PDF content into editable formats like CSV or JSON.

Key capabilities

  • Text extraction from scanned and non-scanned PDFs
  • Table parsing and conversion to structured data formats
  • Metadata retrieval (e.g., author, title, creation date)

Example prompts

  • "Extract all the text from this PDF and summarize it."
  • "Convert the tables in this document into a CSV file."
  • "Retrieve metadata for this PDF and list the author and creation date."

Tips & gotchas

  • Ensure the PDF is not password-protected or encrypted, as this may prevent access.
  • Performance can vary depending on the complexity of the PDF layout (e.g., scanned images vs. text-based documents).