skills/pdf/scripts/create_validation_image.py
wangyitong a65adcc2e5 Initial commit: merged, deduplicated, and vetted skill collection
Sources: extracted from two upstream archives (skill-repo, skills-main),
merged with the following policy:

- 15 broken symlinks (pointing to /Users/jameslee/.cc-switch/skills or
  ../../.agents/skills on a foreign machine) discarded
- 3 real name collisions with identical content (ai-pair, ifind-http-api,
  zhipu-websearch) kept as one copy
- Functional overlaps deduped keeping the strongest variant:
  - docx family: kept docx (official, full toolchain) + docx-cn
    (GB/T 9704 Chinese official-document constants),
    dropped docx_writer (no scripts, name collided with docx)
  - humanizer family: kept humanizer-zh (6 zh reference docs),
    dropped humanizer (en, redundant for CN workflow)
- Skills that only ran in a foreign environment removed:
  ablemind-ops, app-publish, hlb-design-system, openclaw-adj-skill,
  claude-driver
- alphapai excluded from this public repo because its SKILL.md hard-coded
  live credentials

Result: 25 skills, 572 files, ~7.5 MB.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-13 14:47:12 +08:00

42 lines
1.6 KiB
Python

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["form_fields"]:
if field["page_number"] == page_number:
entry_box = field['entry_bounding_box']
label_box = field['label_bounding_box']
# Draw red rectangle over entry bounding box and blue rectangle over the label.
draw.rectangle(entry_box, outline='red', width=2)
draw.rectangle(label_box, outline='blue', width=2)
num_boxes += 2
img.save(output_path)
print(f"Created validation image at {output_path} with {num_boxes} bounding boxes")
if __name__ == "__main__":
if len(sys.argv) != 5:
print("Usage: create_validation_image.py [page number] [fields.json file] [input image path] [output image path]")
sys.exit(1)
page_number = int(sys.argv[1])
fields_json_path = sys.argv[2]
input_image_path = sys.argv[3]
output_image_path = sys.argv[4]
create_validation_image(page_number, fields_json_path, input_image_path, output_image_path)