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  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Image Utilities",
        "body": "Pillow-based utilities for deterministic pixel-level image operations. Use for resize, crop, composite, format conversion, watermarks, and other standard image processing tasks."
      },
      {
        "title": "When to Use This Skill",
        "body": "Post-processing AI-generated images: Resize, crop, optimize for web after generation\nFormat conversion: PNG ↔ JPEG ↔ WEBP with quality control\nCompositing: Overlay images, paste subjects onto backgrounds\nBatch processing: Resize to multiple sizes, add watermarks\nWeb optimization: Compress and resize for fast delivery\nSocial media preparation: Crop to platform-specific aspect ratios"
      },
      {
        "title": "Quick Reference",
        "body": "OperationMethodDescriptionLoadingload(source)Load from URL, path, bytes, or base64load_from_url(url)Download image from URLSavingsave(image, path)Save with format auto-detectionto_bytes(image, format)Convert to bytesto_base64(image, format)Convert to base64 stringResizingresize(image, width, height)Resize to exact dimensionsscale(image, factor)Scale by factor (0.5 = half)thumbnail(image, size)Fit within size, maintain aspectCroppingcrop(image, left, top, right, bottom)Crop to regioncrop_center(image, width, height)Crop from centercrop_to_aspect(image, ratio)Crop to aspect ratioCompositingpaste(bg, fg, position)Overlay at coordinatescomposite(bg, fg, mask)Alpha compositefit_to_canvas(image, w, h)Fit onto canvas sizeBordersadd_border(image, width, color)Add solid borderadd_padding(image, padding)Add whitespace paddingTransformsrotate(image, angle)Rotate by degreesflip_horizontal(image)Mirror horizontallyflip_vertical(image)Flip verticallyWatermarksadd_text_watermark(image, text)Add text overlayadd_image_watermark(image, logo)Add logo watermarkAdjustmentsadjust_brightness(image, factor)Lighten/darkenadjust_contrast(image, factor)Adjust contrastadjust_saturation(image, factor)Adjust color saturationblur(image, radius)Apply Gaussian blurWeboptimize_for_web(image, max_size)Optimize for deliveryInfoget_info(image)Get dimensions, format, mode"
      },
      {
        "title": "Requirements",
        "body": "pip install Pillow requests"
      },
      {
        "title": "Basic Usage",
        "body": "from image_utils import ImageUtils\n\n# Load from URL\nimage = ImageUtils.load_from_url(\"https://example.com/image.jpg\")\n\n# Or load from various sources\nimage = ImageUtils.load(\"/path/to/image.png\")         # File path\nimage = ImageUtils.load(image_bytes)                  # Bytes\nimage = ImageUtils.load(\"data:image/png;base64,...\")  # Base64\n\n# Resize and save\nresized = ImageUtils.resize(image, width=800, height=600)\nImageUtils.save(resized, \"output.webp\", quality=90)\n\n# Get image info\ninfo = ImageUtils.get_info(image)\nprint(f\"{info['width']}x{info['height']} {info['mode']}\")"
      },
      {
        "title": "Resizing & Scaling",
        "body": "# Resize to exact dimensions\nresized = ImageUtils.resize(image, width=800, height=600)\n\n# Resize maintaining aspect ratio (fit within bounds)\nfitted = ImageUtils.resize(image, width=800, height=600, maintain_aspect=True)\n\n# Resize by width only (height auto-calculated)\nresized = ImageUtils.resize(image, width=800)\n\n# Scale by factor\nhalf = ImageUtils.scale(image, 0.5)    # 50% size\ndouble = ImageUtils.scale(image, 2.0)  # 200% size\n\n# Create thumbnail\nthumb = ImageUtils.thumbnail(image, (150, 150))"
      },
      {
        "title": "Cropping",
        "body": "# Crop to specific region\ncropped = ImageUtils.crop(image, left=100, top=50, right=500, bottom=350)\n\n# Crop from center\ncenter = ImageUtils.crop_center(image, width=400, height=400)\n\n# Crop to aspect ratio (for social media)\nsquare = ImageUtils.crop_to_aspect(image, \"1:1\")      # Instagram\nwide = ImageUtils.crop_to_aspect(image, \"16:9\")       # YouTube thumbnail\nstory = ImageUtils.crop_to_aspect(image, \"9:16\")      # Stories/Reels\n\n# Control crop anchor\ntop_crop = ImageUtils.crop_to_aspect(image, \"16:9\", anchor=\"top\")\nbottom_crop = ImageUtils.crop_to_aspect(image, \"16:9\", anchor=\"bottom\")"
      },
      {
        "title": "Compositing",
        "body": "# Paste foreground onto background\nresult = ImageUtils.paste(background, foreground, position=(100, 50))\n\n# Alpha composite (foreground must have transparency)\nresult = ImageUtils.composite(background, foreground)\n\n# Fit image onto canvas with letterboxing\ncanvas = ImageUtils.fit_to_canvas(\n    image,\n    width=1200,\n    height=800,\n    background_color=(255, 255, 255, 255),  # White\n    position=\"center\"  # or \"top\", \"bottom\"\n)"
      },
      {
        "title": "Format Conversion",
        "body": "# Convert to different formats\npng_bytes = ImageUtils.to_bytes(image, \"PNG\")\njpeg_bytes = ImageUtils.to_bytes(image, \"JPEG\", quality=85)\nwebp_bytes = ImageUtils.to_bytes(image, \"WEBP\", quality=90)\n\n# Get base64 for data URLs\nbase64_str = ImageUtils.to_base64(image, \"PNG\")\ndata_url = ImageUtils.to_base64(image, \"PNG\", include_data_url=True)\n# Returns: \"data:image/png;base64,...\"\n\n# Save with format auto-detected from extension\nImageUtils.save(image, \"output.png\")\nImageUtils.save(image, \"output.jpg\", quality=85)\nImageUtils.save(image, \"output.webp\", quality=90)"
      },
      {
        "title": "Watermarks",
        "body": "# Text watermark\nwatermarked = ImageUtils.add_text_watermark(\n    image,\n    text=\"© 2024 My Company\",\n    position=\"bottom-right\",  # bottom-left, top-right, top-left, center\n    font_size=24,\n    color=(255, 255, 255, 128),  # Semi-transparent white\n    margin=20\n)\n\n# Logo/image watermark\nlogo = ImageUtils.load(\"logo.png\")\nwatermarked = ImageUtils.add_image_watermark(\n    image,\n    watermark=logo,\n    position=\"bottom-right\",\n    opacity=0.5,\n    scale=0.15,  # 15% of image width\n    margin=20\n)"
      },
      {
        "title": "Adjustments",
        "body": "# Brightness (1.0 = original, <1 darker, >1 lighter)\nbright = ImageUtils.adjust_brightness(image, 1.3)\ndark = ImageUtils.adjust_brightness(image, 0.7)\n\n# Contrast (1.0 = original)\nhigh_contrast = ImageUtils.adjust_contrast(image, 1.5)\n\n# Saturation (0 = grayscale, 1.0 = original, >1 more vivid)\nvivid = ImageUtils.adjust_saturation(image, 1.3)\ngrayscale = ImageUtils.adjust_saturation(image, 0)\n\n# Sharpness\nsharp = ImageUtils.adjust_sharpness(image, 2.0)\n\n# Blur\nblurred = ImageUtils.blur(image, radius=5)"
      },
      {
        "title": "Transforms",
        "body": "# Rotate (counter-clockwise, degrees)\nrotated = ImageUtils.rotate(image, 45)\nrotated = ImageUtils.rotate(image, 90, expand=False)  # Don't expand canvas\n\n# Flip\nmirrored = ImageUtils.flip_horizontal(image)\nflipped = ImageUtils.flip_vertical(image)"
      },
      {
        "title": "Borders & Padding",
        "body": "# Add solid border\nbordered = ImageUtils.add_border(image, width=5, color=(0, 0, 0))\n\n# Add padding (whitespace)\npadded = ImageUtils.add_padding(image, padding=20)  # Uniform\npadded = ImageUtils.add_padding(image, padding=(10, 20, 10, 20))  # left, top, right, bottom"
      },
      {
        "title": "Web Optimization",
        "body": "# Optimize for web delivery\noptimized_bytes = ImageUtils.optimize_for_web(\n    image,\n    max_dimension=1920,  # Resize if larger\n    format=\"WEBP\",       # Best compression\n    quality=85\n)\n\n# Save optimized\nwith open(\"optimized.webp\", \"wb\") as f:\n    f.write(optimized_bytes)"
      },
      {
        "title": "Integration with AI Image Generation",
        "body": "Use with Bria AI or other image generation APIs:\n\nfrom bria_client import BriaClient\nfrom image_utils import ImageUtils\n\nclient = BriaClient()\n\n# Generate with AI\nresult = client.generate(\"product photo of headphones\", aspect_ratio=\"1:1\")\nimage_url = result['result']['image_url']\n\n# Download and post-process\nimage = ImageUtils.load_from_url(image_url)\n\n# Create multiple sizes for responsive images\nsizes = {\n    \"large\": ImageUtils.resize(image, width=1200),\n    \"medium\": ImageUtils.resize(image, width=600),\n    \"thumb\": ImageUtils.thumbnail(image, (150, 150))\n}\n\n# Save all as optimized WebP\nfor name, img in sizes.items():\n    ImageUtils.save(img, f\"product_{name}.webp\", quality=85)"
      },
      {
        "title": "Batch Processing Example",
        "body": "from pathlib import Path\nfrom image_utils import ImageUtils\n\ndef process_catalog(input_dir, output_dir):\n    \"\"\"Process all images in a directory.\"\"\"\n    output_path = Path(output_dir)\n    output_path.mkdir(exist_ok=True)\n\n    for image_file in Path(input_dir).glob(\"*.{jpg,png,webp}\"):\n        image = ImageUtils.load(image_file)\n\n        # Crop to square\n        square = ImageUtils.crop_to_aspect(image, \"1:1\")\n\n        # Resize to standard size\n        resized = ImageUtils.resize(square, width=800, height=800)\n\n        # Add watermark\n        final = ImageUtils.add_text_watermark(resized, \"© My Brand\")\n\n        # Save optimized\n        output_file = output_path / f\"{image_file.stem}.webp\"\n        ImageUtils.save(final, output_file, quality=85)\n\nprocess_catalog(\"./raw_images\", \"./processed\")"
      },
      {
        "title": "API Reference",
        "body": "See image_utils.py for complete implementation with docstrings."
      }
    ],
    "body": "Image Utilities\n\nPillow-based utilities for deterministic pixel-level image operations. Use for resize, crop, composite, format conversion, watermarks, and other standard image processing tasks.\n\nWhen to Use This Skill\nPost-processing AI-generated images: Resize, crop, optimize for web after generation\nFormat conversion: PNG ↔ JPEG ↔ WEBP with quality control\nCompositing: Overlay images, paste subjects onto backgrounds\nBatch processing: Resize to multiple sizes, add watermarks\nWeb optimization: Compress and resize for fast delivery\nSocial media preparation: Crop to platform-specific aspect ratios\nQuick Reference\nOperation\tMethod\tDescription\nLoading\tload(source)\tLoad from URL, path, bytes, or base64\n\tload_from_url(url)\tDownload image from URL\nSaving\tsave(image, path)\tSave with format auto-detection\n\tto_bytes(image, format)\tConvert to bytes\n\tto_base64(image, format)\tConvert to base64 string\nResizing\tresize(image, width, height)\tResize to exact dimensions\n\tscale(image, factor)\tScale by factor (0.5 = half)\n\tthumbnail(image, size)\tFit within size, maintain aspect\nCropping\tcrop(image, left, top, right, bottom)\tCrop to region\n\tcrop_center(image, width, height)\tCrop from center\n\tcrop_to_aspect(image, ratio)\tCrop to aspect ratio\nCompositing\tpaste(bg, fg, position)\tOverlay at coordinates\n\tcomposite(bg, fg, mask)\tAlpha composite\n\tfit_to_canvas(image, w, h)\tFit onto canvas size\nBorders\tadd_border(image, width, color)\tAdd solid border\n\tadd_padding(image, padding)\tAdd whitespace padding\nTransforms\trotate(image, angle)\tRotate by degrees\n\tflip_horizontal(image)\tMirror horizontally\n\tflip_vertical(image)\tFlip vertically\nWatermarks\tadd_text_watermark(image, text)\tAdd text overlay\n\tadd_image_watermark(image, logo)\tAdd logo watermark\nAdjustments\tadjust_brightness(image, factor)\tLighten/darken\n\tadjust_contrast(image, factor)\tAdjust contrast\n\tadjust_saturation(image, factor)\tAdjust color saturation\n\tblur(image, radius)\tApply Gaussian blur\nWeb\toptimize_for_web(image, max_size)\tOptimize for delivery\nInfo\tget_info(image)\tGet dimensions, format, mode\nRequirements\npip install Pillow requests\n\nBasic Usage\nfrom image_utils import ImageUtils\n\n# Load from URL\nimage = ImageUtils.load_from_url(\"https://example.com/image.jpg\")\n\n# Or load from various sources\nimage = ImageUtils.load(\"/path/to/image.png\")         # File path\nimage = ImageUtils.load(image_bytes)                  # Bytes\nimage = ImageUtils.load(\"data:image/png;base64,...\")  # Base64\n\n# Resize and save\nresized = ImageUtils.resize(image, width=800, height=600)\nImageUtils.save(resized, \"output.webp\", quality=90)\n\n# Get image info\ninfo = ImageUtils.get_info(image)\nprint(f\"{info['width']}x{info['height']} {info['mode']}\")\n\nResizing & Scaling\n# Resize to exact dimensions\nresized = ImageUtils.resize(image, width=800, height=600)\n\n# Resize maintaining aspect ratio (fit within bounds)\nfitted = ImageUtils.resize(image, width=800, height=600, maintain_aspect=True)\n\n# Resize by width only (height auto-calculated)\nresized = ImageUtils.resize(image, width=800)\n\n# Scale by factor\nhalf = ImageUtils.scale(image, 0.5)    # 50% size\ndouble = ImageUtils.scale(image, 2.0)  # 200% size\n\n# Create thumbnail\nthumb = ImageUtils.thumbnail(image, (150, 150))\n\nCropping\n# Crop to specific region\ncropped = ImageUtils.crop(image, left=100, top=50, right=500, bottom=350)\n\n# Crop from center\ncenter = ImageUtils.crop_center(image, width=400, height=400)\n\n# Crop to aspect ratio (for social media)\nsquare = ImageUtils.crop_to_aspect(image, \"1:1\")      # Instagram\nwide = ImageUtils.crop_to_aspect(image, \"16:9\")       # YouTube thumbnail\nstory = ImageUtils.crop_to_aspect(image, \"9:16\")      # Stories/Reels\n\n# Control crop anchor\ntop_crop = ImageUtils.crop_to_aspect(image, \"16:9\", anchor=\"top\")\nbottom_crop = ImageUtils.crop_to_aspect(image, \"16:9\", anchor=\"bottom\")\n\nCompositing\n# Paste foreground onto background\nresult = ImageUtils.paste(background, foreground, position=(100, 50))\n\n# Alpha composite (foreground must have transparency)\nresult = ImageUtils.composite(background, foreground)\n\n# Fit image onto canvas with letterboxing\ncanvas = ImageUtils.fit_to_canvas(\n    image,\n    width=1200,\n    height=800,\n    background_color=(255, 255, 255, 255),  # White\n    position=\"center\"  # or \"top\", \"bottom\"\n)\n\nFormat Conversion\n# Convert to different formats\npng_bytes = ImageUtils.to_bytes(image, \"PNG\")\njpeg_bytes = ImageUtils.to_bytes(image, \"JPEG\", quality=85)\nwebp_bytes = ImageUtils.to_bytes(image, \"WEBP\", quality=90)\n\n# Get base64 for data URLs\nbase64_str = ImageUtils.to_base64(image, \"PNG\")\ndata_url = ImageUtils.to_base64(image, \"PNG\", include_data_url=True)\n# Returns: \"data:image/png;base64,...\"\n\n# Save with format auto-detected from extension\nImageUtils.save(image, \"output.png\")\nImageUtils.save(image, \"output.jpg\", quality=85)\nImageUtils.save(image, \"output.webp\", quality=90)\n\nWatermarks\n# Text watermark\nwatermarked = ImageUtils.add_text_watermark(\n    image,\n    text=\"© 2024 My Company\",\n    position=\"bottom-right\",  # bottom-left, top-right, top-left, center\n    font_size=24,\n    color=(255, 255, 255, 128),  # Semi-transparent white\n    margin=20\n)\n\n# Logo/image watermark\nlogo = ImageUtils.load(\"logo.png\")\nwatermarked = ImageUtils.add_image_watermark(\n    image,\n    watermark=logo,\n    position=\"bottom-right\",\n    opacity=0.5,\n    scale=0.15,  # 15% of image width\n    margin=20\n)\n\nAdjustments\n# Brightness (1.0 = original, <1 darker, >1 lighter)\nbright = ImageUtils.adjust_brightness(image, 1.3)\ndark = ImageUtils.adjust_brightness(image, 0.7)\n\n# Contrast (1.0 = original)\nhigh_contrast = ImageUtils.adjust_contrast(image, 1.5)\n\n# Saturation (0 = grayscale, 1.0 = original, >1 more vivid)\nvivid = ImageUtils.adjust_saturation(image, 1.3)\ngrayscale = ImageUtils.adjust_saturation(image, 0)\n\n# Sharpness\nsharp = ImageUtils.adjust_sharpness(image, 2.0)\n\n# Blur\nblurred = ImageUtils.blur(image, radius=5)\n\nTransforms\n# Rotate (counter-clockwise, degrees)\nrotated = ImageUtils.rotate(image, 45)\nrotated = ImageUtils.rotate(image, 90, expand=False)  # Don't expand canvas\n\n# Flip\nmirrored = ImageUtils.flip_horizontal(image)\nflipped = ImageUtils.flip_vertical(image)\n\nBorders & Padding\n# Add solid border\nbordered = ImageUtils.add_border(image, width=5, color=(0, 0, 0))\n\n# Add padding (whitespace)\npadded = ImageUtils.add_padding(image, padding=20)  # Uniform\npadded = ImageUtils.add_padding(image, padding=(10, 20, 10, 20))  # left, top, right, bottom\n\nWeb Optimization\n# Optimize for web delivery\noptimized_bytes = ImageUtils.optimize_for_web(\n    image,\n    max_dimension=1920,  # Resize if larger\n    format=\"WEBP\",       # Best compression\n    quality=85\n)\n\n# Save optimized\nwith open(\"optimized.webp\", \"wb\") as f:\n    f.write(optimized_bytes)\n\nIntegration with AI Image Generation\n\nUse with Bria AI or other image generation APIs:\n\nfrom bria_client import BriaClient\nfrom image_utils import ImageUtils\n\nclient = BriaClient()\n\n# Generate with AI\nresult = client.generate(\"product photo of headphones\", aspect_ratio=\"1:1\")\nimage_url = result['result']['image_url']\n\n# Download and post-process\nimage = ImageUtils.load_from_url(image_url)\n\n# Create multiple sizes for responsive images\nsizes = {\n    \"large\": ImageUtils.resize(image, width=1200),\n    \"medium\": ImageUtils.resize(image, width=600),\n    \"thumb\": ImageUtils.thumbnail(image, (150, 150))\n}\n\n# Save all as optimized WebP\nfor name, img in sizes.items():\n    ImageUtils.save(img, f\"product_{name}.webp\", quality=85)\n\nBatch Processing Example\nfrom pathlib import Path\nfrom image_utils import ImageUtils\n\ndef process_catalog(input_dir, output_dir):\n    \"\"\"Process all images in a directory.\"\"\"\n    output_path = Path(output_dir)\n    output_path.mkdir(exist_ok=True)\n\n    for image_file in Path(input_dir).glob(\"*.{jpg,png,webp}\"):\n        image = ImageUtils.load(image_file)\n\n        # Crop to square\n        square = ImageUtils.crop_to_aspect(image, \"1:1\")\n\n        # Resize to standard size\n        resized = ImageUtils.resize(square, width=800, height=800)\n\n        # Add watermark\n        final = ImageUtils.add_text_watermark(resized, \"© My Brand\")\n\n        # Save optimized\n        output_file = output_path / f\"{image_file.stem}.webp\"\n        ImageUtils.save(final, output_file, quality=85)\n\nprocess_catalog(\"./raw_images\", \"./processed\")\n\nAPI Reference\n\nSee image_utils.py for complete implementation with docstrings."
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/galbria/image-utils",
    "publisherUrl": "https://clawhub.ai/galbria/image-utils",
    "owner": "galbria",
    "version": "1.2.3",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
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    "detailUrl": "https://openagent3.xyz/skills/image-utils",
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