Agent Skills: App Store Image Enhancer

App Store Image Enhancer

Enhance images to be sharper, clearer, and more professional using Python's Pillow library.

When to Use This Skill

• Preparing app icons for App Store/Google Play (must be 1024x1024 PNG)
• Improving screenshot quality for documentation or marketing
• Enhancing images for social media posts
• Upscaling low-resolution images
• Sharpening blurry photos
• Cleaning up compression artifacts

Implementation

Required Setup

pip install Pillow --break-system-packages

Core Enhancement Script

from PIL import Image, ImageEnhance, ImageFilter
import os

def enhance_image(
    input_path: str,
    output_path: str = None,
    target_size: tuple = None,
    sharpen_factor: float = 1.5,
    contrast_factor: float = 1.1,
    mode: str = "general"
) -> str:
    """
    Enhance an image with sharpening, contrast adjustment, and optional resizing.

    Args:
        input_path: Path to the source image
        output_path: Path for enhanced image (default: adds '-enhanced' suffix)
        target_size: Tuple of (width, height) for resizing, or None to preserve
        sharpen_factor: Sharpness multiplier (1.0 = original, >1.0 = sharper)
        contrast_factor: Contrast multiplier (1.0 = original, >1.0 = more contrast)
        mode: "app-icon", "screenshot", or "general"

    Returns:
        Path to the enhanced image
    """
    # Open and convert to RGBA for transparency support
    img = Image.open(input_path)
    original_mode = img.mode

    if img.mode != 'RGBA':
        img = img.convert('RGBA')

    # Apply mode-specific settings
    if mode == "app-icon":
        target_size = (1024, 1024)
        sharpen_factor = 1.8
        contrast_factor = 1.15
    elif mode == "screenshot":
        sharpen_factor = 1.4
        contrast_factor = 1.05

    # Resize if target size specified (use LANCZOS for quality)
    if target_size:
        img = img.resize(target_size, Image.Resampling.LANCZOS)

    # Apply unsharp mask for edge enhancement
    img = img.filter(ImageFilter.UnsharpMask(radius=2, percent=150, threshold=3))

    # Enhance sharpness
    sharpener = ImageEnhance.Sharpness(img)
    img = sharpener.enhance(sharpen_factor)

    # Enhance contrast
    contraster = ImageEnhance.Contrast(img)
    img = contraster.enhance(contrast_factor)

    # Generate output path if not provided
    if not output_path:
        base, ext = os.path.splitext(input_path)
        output_path = f"{base}-enhanced.png"

    # Save as PNG for quality (convert to RGB if no transparency needed)
    if mode == "app-icon" or output_path.lower().endswith('.png'):
        img.save(output_path, 'PNG', optimize=True)
    else:
        # For JPG output, convert to RGB
        if img.mode == 'RGBA':
            background = Image.new('RGB', img.size, (255, 255, 255))
            background.paste(img, mask=img.split()[3])
            img = background
        img.save(output_path, quality=95, optimize=True)

    return output_path


def analyze_image(input_path: str) -> dict:
    """
    Analyze image quality metrics.

    Args:
        input_path: Path to the image

    Returns:
        Dictionary with image analysis results
    """
    img = Image.open(input_path)

    return {
        "path": input_path,
        "format": img.format,
        "mode": img.mode,
        "size": img.size,
        "width": img.size[0],
        "height": img.size[1],
        "is_square": img.size[0] == img.size[1],
        "has_transparency": img.mode in ('RGBA', 'LA', 'P'),
        "file_size_kb": os.path.getsize(input_path) / 1024,
        "meets_app_icon_spec": img.size[0] >= 1024 and img.size[1] >= 1024
    }


def batch_enhance(
    directory: str,
    output_dir: str = None,
    extensions: tuple = ('.png', '.jpg', '.jpeg', '.webp'),
    **enhance_kwargs
) -> list:
    """
    Enhance all images in a directory.

    Args:
        directory: Source directory path
        output_dir: Output directory (default: same as source with '-enhanced' suffix)
        extensions: Tuple of file extensions to process
        **enhance_kwargs: Arguments passed to enhance_image()

    Returns:
        List of output file paths
    """
    if not output_dir:
        output_dir = f"{directory.rstrip('/')}-enhanced"

    os.makedirs(output_dir, exist_ok=True)

    results = []
    for filename in os.listdir(directory):
        if filename.lower().endswith(extensions):
            input_path = os.path.join(directory, filename)
            base, _ = os.path.splitext(filename)
            output_path = os.path.join(output_dir, f"{base}-enhanced.png")

            enhance_image(input_path, output_path, **enhance_kwargs)
            results.append(output_path)

    return results

Usage Examples

App Store Icon Enhancement

# Enhance for app store (auto-resizes to 1024x1024)
result = enhance_image("my-icon.png", mode="app-icon")
print(f"Enhanced icon saved to: {result}")

Screenshot Enhancement

# Enhance screenshot without resizing
result = enhance_image("screenshot.png", mode="screenshot")

Custom Enhancement

# Custom settings
result = enhance_image(
    "photo.jpg",
    target_size=(2048, 2048),
    sharpen_factor=2.0,
    contrast_factor=1.2
)

Batch Processing

# Enhance all images in a folder
enhanced_files = batch_enhance("./images", mode="screenshot")
print(f"Enhanced {len(enhanced_files)} images")

App Store Icon Requirements

| Platform | Size | Format | Notes | | --------------- | --------- | ------ | --------------------------------------------------- | | iOS App Store | 1024×1024 | PNG | No transparency, no rounded corners (iOS adds them) | | Google Play | 512×512 | PNG | Can have transparency | | macOS App Store | 1024×1024 | PNG | Can have transparency |

Important: iOS App Store icons should NOT have transparency—use a solid background. The system applies the rounded corners automatically.

Output Specifications

When mode="app-icon":

• Size: 1024×1024 pixels
• Format: PNG
• Sharpness: Enhanced (1.8x)
• Contrast: Slightly boosted (1.15x)
• Optimized file size

Tips

• Always preserve originals (the script creates new files by default)
• Use mode="app-icon" for store submissions
• Use mode="screenshot" for documentation images
• For social media, consider platform-specific sizes after enhancement
• JPG output is supported but PNG is preferred for icons