create_validation_image

img = Image.open(input_path) draw = ImageDraw.Draw(img) num_boxes = 0 for field in data["form_fields"]: if field["page_number"] == page_number: entry_box = field['entry_bounding_box'] label_box = field['label_bounding_box'] # Draw red…

Skills
Scientific
0

What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
In Claude Code, describe what you need - the skill turns on by itself when the context fits.
No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/create-validation-image && curl -fsSL https://doutorai.pt/data/lib/skills__create-validation-image.md -o .claude/skills/create-validation-image/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

import json
import sys

from PIL import Image, ImageDraw


# Creates "validation" images with rectangles for the bounding box information that
# Claude creates when determining where to add text annotations in PDFs. See forms.md.


def create_validation_image(page_number, fields_json_path, input_path, output_path):
    # Input file should be in the `fields.json` format described in forms.md.
    with open(fields_json_path, 'r') as f:
        data = json.load(f)

        img = Image.open(input_path)
        draw = ImageDraw.Draw(img)
        num_boxes = 0
        
        for field in data["for

- 🔒 Full content on the Pro plan (€7.99/month) -

Need help with Claude Code?

Ask Dr AI - it explains things simply.

Need a tailor-made solution?

Not sure where to start with AI in your business? Get a free assessment and a tailored plan - no commitment.

Save hours every week with AI, no hassle

Doutor AI gives you 1,859 ready-to-copy AI prompts, by industry and in plain English - plus a complete technical library for those who want to go further.

See plans