Nano pdf

Skill percymcn/agent-cookbook/skills/productivity/nano-pdf

Production-ready AI agent skills, playbooks, and workflows from the pharma6 automation lab

Install

npx -y skills add percymcn/agent-cookbook --skill nano-pdf

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

One thing to look at

0 stars0 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

Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

1.4 KB, 278 tokens by cl100k_base, as published. Nobody here has run it

nano-pdf

Edit PDFs using natural-language instructions. Point it at a page and describe what to change.

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

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most pdf office docs skills give in 278 tokens

Counted across 636 of the 690 authors here whose files we hold, read 2026-08-07

Extract text or tables using pdfplumber or pdftotextin 89 of 636, across 23 files
Create new PDFs using reportlabin 83 of 636, across 16 files
Read forms.md before filling out PDF formsin 80 of 636, across 13 files
OCR scanned PDFs using pytesseract and pdf2imagein 77 of 636, across 10 files
Use qpdf to merge or split PDFs or large filesin 70 of 636, across 3 files
Use Excel formulas instead of hardcoded calculated values or Python calculationsin 68 of 636, across 13 files
Unpack, edit, and repack XML for existing documents or presentationsin 63 of 636, across 8 files
Document sources for all hardcoded valuesin 61 of 636, across 9 files
Write minimal, concise Python code without unnecessary commentsin 59 of 636, across 7 files
Run the recalculation script (recalc.py) after adding or modifying formulasin 59 of 636, across 7 files
Fix all identified formula errors and recalculate before finishingin 58 of 636, across 6 files
Format years as text stringsin 57 of 636, across 5 files

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.