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Document Processing

Checked
dirnbauer·vlatest·writing

Extracts key data like dates, names, and values from Dirnbauer-formatted documents for automated workflows.

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 dirnbauer/webconsulting-skills --skill document-processing -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

dirnbauer

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 dirnbauer/webconsulting-skills at 98b562d70f.

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

Commit
98b562d70f
Manifest
skills/document-processing/SKILL.md
Scanned
1 file, 593 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 AI agents to create, edit, and analyze common office document formats including PDFs, Word documents (.docx), PowerPoint presentations (.pptx), and Excel spreadsheets (.xlsx). It leverages various Python libraries like pdfplumber, pypdf, pandas, and openpyxl to perform tasks such as text extraction, table extraction, merging/splitting PDFs, filling forms, data analysis within spreadsheets, and OCR (Optical Character Recognition) on scanned documents. The skill allows for manipulation of document content and structure.

When to use it

  • Automating the extraction of data from invoices or reports in PDF format.
  • Creating new PowerPoint presentations based on textual instructions.
  • Analyzing data stored within Excel spreadsheets, such as calculating totals or identifying trends.
  • Merging multiple PDF documents into a single file for easier distribution.
  • Extracting text from scanned PDFs using OCR to make them searchable and editable.

Key capabilities

  • PDF Processing: Text extraction, table extraction, merging, splitting, form filling, creation, and rotation of pages.
  • DOCX (Word) Processing: Text extraction, creation, editing.
  • PPTX (PowerPoint) Processing: Text extraction, creation, editing.
  • XLSX (Excel) Processing: Data analysis, formula manipulation, formatting.
  • OCR for Scanned PDFs: Extracts text from scanned PDF documents using Optical Character Recognition.

Example prompts

  • "Extract all tables from this document and save them to an Excel file."
  • "Create a new PowerPoint presentation with the title 'Project Update' and three slides summarizing key findings."
  • "Merge these three PDFs into a single document named 'CombinedReport.pdf'."
  • "Perform data analysis on this spreadsheet, calculating the average value in column B."

Tips & gotchas

  • The skill relies on external Python libraries; ensure they are installed for proper functionality.
  • OCR accuracy depends heavily on the quality of the scanned document. Poor scans will result in inaccurate text extraction.
  • Editing DOCX and PPTX files involves unpacking, modifying, and repacking the XML structure, which can be complex.