Documents

pdf

openai/skills · updated Apr 8, 2026

$npx skills add https://github.com/openai/skills --skill pdf
summary

PDF reading, creation, and validation with visual rendering and programmatic generation.

  • Render PDF pages to PNG for visual inspection of layout, spacing, and typography before delivery using Poppler ( pdftoppm )
  • Generate PDFs programmatically with reportlab for reliable formatting; extract text and metadata with pdfplumber or pypdf
  • Enforce quality standards: no clipped text, overlapping elements, broken tables, or rendering artifacts; ASCII hyphens only, human-readable citations
skill.md

PDF Skill

When to use

  • Read or review PDF content where layout and visuals matter.
  • Create PDFs programmatically with reliable formatting.
  • Validate final rendering before delivery.

Workflow

  1. Prefer visual review: render PDF pages to PNGs and inspect them.
    • Use pdftoppm if available.
    • If unavailable, install Poppler or ask the user to review the output locally.
  2. Use reportlab to generate PDFs when creating new documents.
  3. Use pdfplumber (or pypdf) for text extraction and quick checks; do not rely on it for layout fidelity.
  4. After each meaningful update, re-render pages and verify alignment, spacing, and legibility.

Temp and output conventions

  • Use tmp/pdfs/ for intermediate files; delete when done.
  • Write final artifacts under output/pdf/ when working in this repo.
  • Keep filenames stable and descriptive.

Dependencies (install if missing)

Prefer uv for dependency management.

Python packages:

uv pip install reportlab pdfplumber pypdf

If uv is unavailable:

python3 -m pip install reportlab pdfplumber pypdf

System tools (for rendering):

# macOS (Homebrew)
brew install poppler

# Ubuntu/Debian
sudo apt-get install -y poppler-utils

If installation isn't possible in this environment, tell the user which dependency is missing and how to install it locally.

Environment

No required environment variables.

Rendering command

pdftoppm -png $INPUT_PDF $OUTPUT_PREFIX

Quality expectations

  • Maintain polished visual design: consistent typography, spacing, margins, and section hierarchy.
  • Avoid rendering issues: clipped text, overlapping elements, broken tables, black squares, or unreadable glyphs.
  • Charts, tables, and images must be sharp, aligned, and clearly labeled.
  • Use ASCII hyphens only. Avoid U+2011 (non-breaking hyphen) and other Unicode dashes.
  • Citations and references must be human-readable; never leave tool tokens or placeholder strings.

Final checks

  • Do not deliver until the latest PNG inspection shows zero visual or formatting defects.
  • Confirm headers/footers, page numbering, and section transitions look polished.
  • Keep intermediate files organized or remove them after final approval.
general reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    pdf is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Piyush G· Sep 9, 2024

    Keeps context tight: pdf is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Chaitanya Patil· Aug 8, 2024

    Registry listing for pdf matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakshi Patil· Jul 7, 2024

    pdf reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ganesh Mohane· Jun 6, 2024

    I recommend pdf for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Oshnikdeep· May 5, 2024

    Useful defaults in pdf — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Dhruvi Jain· Apr 4, 2024

    pdf has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Rahul Santra· Mar 3, 2024

    Solid pick for teams standardizing on skills: pdf is focused, and the summary matches what you get after install.

  • Pratham Ware· Feb 2, 2024

    We added pdf from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Yash Thakker· Jan 1, 2024

    pdf fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.