Edit text in existing PDFs via natural-language prompts.
Skill metadata
| Source | Bundled (installed by default) |
| Path | skills/productivity/nano-pdf |
| Version | 1.0.0 |
| Author | community |
| License | MIT |
| Platforms | linux, macos, windows |
| Tags | PDF, Documents, Editing, NLP, Productivity |
| Related skills | pdf, ocr-and-documents |
Reference: full SKILL.md
info
The following is the complete skill definition that Hermes loads when this skill is triggered. This is what the agent sees as instructions when the skill is active.
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_fileto check file size, or open it) - The tool uses an LLM under the hood — requires an API key (check
nano-pdf --helpfor config) - Works well for text changes; complex layout modifications may need a different approach