Image Editor

Use this skill when the user asks to edit, modify, replace text, or add/remove elements in an image. Always preserve original resolution. Always verify output with vision model. Never resize or scale the image.

Image Editor Skill

Core Rules (NEVER BREAK)

1. Preserve original resolution — never resize, scale, or change dimensions
2. Verify every output with vision model — use the image tool to check the result before delivering
3. Use PIL directly — Python PIL/Pillow for pixel-level manipulation, not external tools

Workflow

Step 1: Analyze the original image

text

python3 -c "
from PIL import Image
img = Image.open('PATH')
print(f'Size: {img.size}, Mode: {img.mode}')
"

Step 2: Identify target region

• Open the image with read tool (supports jpg/png)
• Use image tool with prompt "identify the exact pixel coordinates of [target area]"
• Record: x_start, y_start, x_end, y_end

Step 3: Edit with PIL

python

from PIL import Image, ImageDraw, ImageFont
img = Image.open('INPUT')
draw = ImageDraw.Draw(img)

# For text replacement:
# 1. Fill background color over old text
# 2. Draw new text with matching font/color
# macOS Chinese fonts: /System/Library/Fonts/STHeiti Light.ttc

font = ImageFont.truetype('/System/Library/Fonts/STHeiti Light.ttc', size=PIXEL_SIZE)
draw.text((x, y), 'NEW TEXT', fill=(R, G, B), font=font)
img.save('OUTPUT.jpg', quality=95)

Step 4: Verify output (MANDATORY)

Use the image tool on the output file with prompt: "Compare this edited image with the original at ORIGINAL_PATH. Is the text replacement correct? Is resolution preserved? Any artifacts?"

Step 5: Only deliver after verification passes

Common mistakes (from real failures)

• ❌ Using web_fetch to "download" an image (it resizes)
• ❌ Skipping vision verification
• ❌ Calling external APIs that don't support the format
• ❌ Saving with wrong quality/format
• ✅ PIL direct pixel manipulation
• ✅ Vision verification of every output