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- ThinkfleetAI/thinkfleet-engine
- ソースの最終更新活動
- 2026年2月1日 16:21
- 検出された SKILL.md の言語
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SKILL.md
ソースの指示 · 読み取り専用プレビュー- name
- image-processing
- description
- Image processing and manipulation
- metadata
- {"thinkfleetbot_emoji":"🖼️","requires_bins":["python3"],"requires_env":[]}
# Image Processing
Image manipulation using Python and Pillow (PIL).
## Resize image
```bash
python3 -c "
from PIL import Image
img = Image.open('input.jpg')
# Resize to specific dimensions
resized = img.resize((800, 600), Image.LANCZOS)
resized.save('resized.jpg')
# Resize keeping aspect ratio
img.thumbnail((800, 800), Image.LANCZOS)
img.save('thumbnail.jpg')
print('Done')
"
```
## Convert format
```bash
python3 -c "
from PIL import Image
img = Image.open('input.png')
# PNG to JPEG (must convert RGBA to RGB)
if img.mode == 'RGBA':
img = img.convert('RGB')
img.save('output.jpg', 'JPEG', quality=90)
# JPEG to PNG
# img = Image.open('input.jpg')
# img.save('output.png', 'PNG')
# Convert to WebP
# img.save('output.webp', 'WEBP', quality=85)
print('Converted successfully')
"
```
## Crop image
```bash
python3 -c "
from PIL import Image
img = Image.open('input.jpg')
# Crop box: (left, upper, right, lower)
cropped = img.crop((100, 100, 500, 400))
cropped.save('cropped.jpg')
print(f'Cropped from {img.size} to {cropped.size}')
"
```
## Add text overlay
```bash
python3 -c "
from PIL import Image, ImageDraw, ImageFont
img = Image.open('input.jpg')
draw = ImageDraw.Draw(img)
# Use default font (or specify a TTF path)
try:
font = ImageFont.truetype('/System/Library/Fonts/Helvetica.ttc', 36)
except OSError:
font = ImageFont.load_default()
text = 'Hello World'
# Draw text with shadow for readability
draw.text((12, 12), text, fill='black', font=font)
draw.text((10, 10), text, fill='white', font=font)
img.save('with_text.jpg')
print('Text overlay added')
"
```
## Create thumbnail
```bash
python3 -c "
from PIL import Image
img = Image.open('input.jpg')
sizes = [(128, 128), (256, 256), (512, 512)]
for size in sizes:
thumb = img.copy()
thumb.thumbnail(size, Image.LANCZOS)
thumb.save(f'thumb_{size[0]}x{size[1]}.jpg')
print(f'Created thumb_{size[0]}x{size[1]}.jpg')
"
```
## Get image metadata
```bash
python3 -c "
from PIL import Image
from PIL.ExifTags import TAGS
import json
img = Image.open('input.jpg')
info = {
'format': img.format,
'mode': img.mode,
'size': {'width': img.size[0], 'height': img.size[1]},
}
# Extract EXIF data if present
exif = img.getexif()
if exif:
info['exif'] = {}
for tag_id, value in exif.items():
tag = TAGS.get(tag_id, tag_id)
try:
info['exif'][str(tag)] = str(value)
except Exception:
pass
print(json.dumps(info, indent=2))
"
```
## Optimize/compress
```bash
python3 -c "
from PIL import Image
import os
img = Image.open('input.jpg')
original_size = os.path.getsize('input.jpg')
# Optimize JPEG
if img.mode == 'RGBA':
img = img.convert('RGB')
img.save('optimized.jpg', 'JPEG', quality=80, optimize=True)
new_size = os.path.getsize('optimized.jpg')
ratio = (1 - new_size / original_size) * 100
print(f'Original: {original_size:,} bytes')
print(f'Optimized: {new_size:,} bytes')
print(f'Saved: {ratio:.1f}%')
"
```
## Batch process
```bash
python3 -c "
from PIL import Image
import os, glob
input_dir = 'images'
output_dir = 'processed'
os.makedirs(output_dir, exist_ok=True)
for filepath in glob.glob(os.path.join(input_dir, '*')):
try:
img = Image.open(filepath)
# Resize all to max 1024px wide
if img.width > 1024:
ratio = 1024 / img.width
new_size = (1024, int(img.height * ratio))
img = img.resize(new_size, Image.LANCZOS)
if img.mode == 'RGBA':
img = img.convert('RGB')
name = os.path.splitext(os.path.basename(filepath))[0]
out_path = os.path.join(output_dir, f'{name}.jpg')
img.save(out_path, 'JPEG', quality=85, optimize=True)
print(f'Processed: {filepath} -> {out_path}')
except Exception as e:
print(f'Skipped {filepath}: {e}')
"
```
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