agentsclimarketplace

Pdf

Skill OpenSIN-AI/OpenSIN-Skills/operations/documents/pdf

The world's largest open-source AI agent skill library — 280+ skills across 9 knowledge domains + 46 operational actions. Built on alirezarezvani/claude-skills + OpenSIN-AI.

Install
npx -y skills add OpenSIN-AI/OpenSIN-Skills --skill pdf

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction.

SKILL.md

2.6 KB, 526 tokens by cl100k_base, as published. Nobody here has run it

OpenCode mirror: sourced from ~/.config/opencode/skills/pdf and mirrored for OpenCode CLI usage.

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.

Gives 2 of the 12 instructions most pdf office docs skills give in 526 tokens

Counted across 635 of the 690 authors here whose files we hold, read 2026-08-06

  • extract text using pdfplumberhere, and in 92 of 635, across 25 files
  • create PDFs using reportlabhere, and in 83 of 635, across 16 files
  • read FORMS.md to fill out PDF formsin 80 of 635, across 13 files
  • OCR scanned PDFs using pytesseractin 77 of 635, across 10 files
  • merge or split PDFs using qpdfin 70 of 635, across 3 files
  • use Excel formulas instead of hardcoded calculated valuesin 68 of 635, across 12 files
  • unpack edit xml and repack existing documentsin 63 of 635, across 8 files
  • document sources for hardcoded valuesin 61 of 635, across 9 files
  • write minimal python code without unnecessary commentsin 59 of 635, across 7 files
  • run the recalculation script after adding or modifying formulasin 58 of 635, across 6 files
  • fix all identified formula errors and recalculatein 58 of 635, across 6 files
  • format years as text stringsin 57 of 635, across 5 files

Said here and by no other author read

  • make citations and references human-readable

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.