hermes-skills-productivity/nano-pdf/SKILL.md

name, description, version, author, license, platforms, metadata

name	description	version	author	license	platforms	metadata
nano-pdf	Edit text in existing PDFs via natural-language prompts.	1.0.0	community	MIT	linux macos windows	hermes tags homepage related_skills PDF Documents Editing NLP Productivity https://pypi.org/project/nano-pdf/ pdf ocr-and-documents

nano-pdf

Edit PDFs using natural-language instructions. Point it at a page and describe what to change. For structural PDF work (merge, split, forms, watermarks, creation), see the pdf skill; for text extraction from scans, see ocr-and-documents.

Prerequisites

# Install with uv (recommended — already available in Hermes)
uv pip install nano-pdf

# Or with pip
pip install nano-pdf

Usage

nano-pdf edit <file.pdf> <page_number> "<instruction>"

Examples

# Change a title on page 1
nano-pdf edit deck.pdf 1 "Change the title to 'Q3 Results' and fix the typo in the subtitle"

# Update a date on a specific page
nano-pdf edit report.pdf 3 "Update the date from January to February 2026"

# Fix content
nano-pdf edit contract.pdf 2 "Change the client name from 'Acme Corp' to 'Acme Industries'"

Notes

• Page numbers may be 0-based or 1-based depending on version — if the edit hits the wrong page, retry with ±1
• Always verify the output PDF after editing (use read_file to check file size, or open it)
• The tool uses an LLM under the hood — requires an API key (check nano-pdf --help for config)
• Works well for text changes; complex layout modifications may need a different approach