[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M76DM1Z3JBKE3DZ3C22BBV77":3,"skill-same:01M76DM1Z3JBKE3DZ3C22BBV77":58},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":18,"linkOnly":19,"markdownContent":20,"markdownBody":21,"frontMatter":22,"refName":26,"commitSha":27,"skillDirectory":28,"forksCount":13,"repositoryHtmlUrl":29,"repositoryHomepageUrl":6,"ownerHtmlUrl":30,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":31,"install":32,"resources":45},"01M76DM1Z3JBKE3DZ3C22BBV77","image-utils",null,"Classic image manipulation with Python Pillow - resize, crop, composite, format conversion, watermarks, brightness\u002Fcontrast adjustments, and web optimization. Use this skill when post-processing AI-generated images, preparing images for web delivery, batch processing image directories, creating responsive image variants, or performing any deterministic pixel-level image operation. Works standalone or alongside bria-ai for post-processing generated images.","meghal86\u002Fstacksignal","meghal86","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F37388715?v=4","01M6CS2EW8SK89GH52R2ZEN8QQ","01M728J5CGY456EETEFG6HJBTM",0,"MIT","https:\u002F\u002Fgithub.com\u002Fmeghal86\u002Fstacksignal\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fimage-utils\u002FSKILL.md",[],[],"2026-11-12 13:55:43",false,"---\nname: image-utils\ndescription: Classic image manipulation with Python Pillow - resize, crop, composite, format conversion, watermarks, brightness\u002Fcontrast adjustments, and web optimization. Use this skill when post-processing AI-generated images, preparing images for web delivery, batch processing image directories, creating responsive image variants, or performing any deterministic pixel-level image operation. Works standalone or alongside bria-ai for post-processing generated images.\nlicense: MIT\nmetadata:\n  author: Bria AI\n  version: \"1.2.1\"\n---\n\n# 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\n## When to Use This Skill\n\n- **Post-processing AI-generated images**: Resize, crop, optimize for web after generation\n- **Format conversion**: PNG ↔ JPEG ↔ WEBP with quality control\n- **Compositing**: Overlay images, paste subjects onto backgrounds\n- **Batch processing**: Resize to multiple sizes, add watermarks\n- **Web optimization**: Compress and resize for fast delivery\n- **Social media preparation**: Crop to platform-specific aspect ratios\n\n## Quick Reference\n\n| Operation | Method | Description |\n|-----------|--------|-------------|\n| **Loading** | `load(source)` | Load from URL, path, bytes, or base64 |\n| | `load_from_url(url)` | Download image from URL |\n| **Saving** | `save(image, path)` | Save with format auto-detection |\n| | `to_bytes(image, format)` | Convert to bytes |\n| | `to_base64(image, format)` | Convert to base64 string |\n| **Resizing** | `resize(image, width, height)` | Resize to exact dimensions |\n| | `scale(image, factor)` | Scale by factor (0.5 = half) |\n| | `thumbnail(image, size)` | Fit within size, maintain aspect |\n| **Cropping** | `crop(image, left, top, right, bottom)` | Crop to region |\n| | `crop_center(image, width, height)` | Crop from center |\n| | `crop_to_aspect(image, ratio)` | Crop to aspect ratio |\n| **Compositing** | `paste(bg, fg, position)` | Overlay at coordinates |\n| | `composite(bg, fg, mask)` | Alpha composite |\n| | `fit_to_canvas(image, w, h)` | Fit onto canvas size |\n| **Borders** | `add_border(image, width, color)` | Add solid border |\n| | `add_padding(image, padding)` | Add whitespace padding |\n| **Transforms** | `rotate(image, angle)` | Rotate by degrees |\n| | `flip_horizontal(image)` | Mirror horizontally |\n| | `flip_vertical(image)` | Flip vertically |\n| **Watermarks** | `add_text_watermark(image, text)` | Add text overlay |\n| | `add_image_watermark(image, logo)` | Add logo watermark |\n| **Adjustments** | `adjust_brightness(image, factor)` | Lighten\u002Fdarken |\n| | `adjust_contrast(image, factor)` | Adjust contrast |\n| | `adjust_saturation(image, factor)` | Adjust color saturation |\n| | `blur(image, radius)` | Apply Gaussian blur |\n| **Web** | `optimize_for_web(image, max_size)` | Optimize for delivery |\n| **Info** | `get_info(image)` | Get dimensions, format, mode |\n\n## Requirements\n\n```bash\npip install Pillow requests\n```\n\n## Basic Usage\n\n```python\nfrom image_utils import ImageUtils\n\n# Load from URL\nimage = ImageUtils.load_from_url(\"https:\u002F\u002Fexample.com\u002Fimage.jpg\")\n\n# Or load from various sources\nimage = ImageUtils.load(\"\u002Fpath\u002Fto\u002Fimage.png\")         # File path\nimage = ImageUtils.load(image_bytes)                  # Bytes\nimage = ImageUtils.load(\"data:image\u002Fpng;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```\n\n## Resizing & Scaling\n\n```python\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```\n\n## Cropping\n\n```python\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\u002FReels\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```\n\n## Compositing\n\n```python\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```\n\n## Format Conversion\n\n```python\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\u002Fpng;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```\n\n## Watermarks\n\n```python\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\u002Fimage 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```\n\n## Adjustments\n\n```python\n# Brightness (1.0 = original, \u003C1 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```\n\n## Transforms\n\n```python\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```\n\n## Borders & Padding\n\n```python\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```\n\n## Web Optimization\n\n```python\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```\n\n## Integration with AI Image Generation\n\nUse with Bria AI or other image generation APIs:\n\n```python\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```\n\n## Batch Processing Example\n\n```python\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 \u002F f\"{image_file.stem}.webp\"\n        ImageUtils.save(final, output_file, quality=85)\n\nprocess_catalog(\".\u002Fraw_images\", \".\u002Fprocessed\")\n```\n\n## API Reference\n\nSee [image_utils.py](.\u002Freferences\u002Fcode-examples\u002Fimage_utils.py) for complete implementation with docstrings.\n","# 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\n## When to Use This Skill\n\n- **Post-processing AI-generated images**: Resize, crop, optimize for web after generation\n- **Format conversion**: PNG ↔ JPEG ↔ WEBP with quality control\n- **Compositing**: Overlay images, paste subjects onto backgrounds\n- **Batch processing**: Resize to multiple sizes, add watermarks\n- **Web optimization**: Compress and resize for fast delivery\n- **Social media preparation**: Crop to platform-specific aspect ratios\n\n## Quick Reference\n\n| Operation | Method | Description |\n|-----------|--------|-------------|\n| **Loading** | `load(source)` | Load from URL, path, bytes, or base64 |\n| | `load_from_url(url)` | Download image from URL |\n| **Saving** | `save(image, path)` | Save with format auto-detection |\n| | `to_bytes(image, format)` | Convert to bytes |\n| | `to_base64(image, format)` | Convert to base64 string |\n| **Resizing** | `resize(image, width, height)` | Resize to exact dimensions |\n| | `scale(image, factor)` | Scale by factor (0.5 = half) |\n| | `thumbnail(image, size)` | Fit within size, maintain aspect |\n| **Cropping** | `crop(image, left, top, right, bottom)` | Crop to region |\n| | `crop_center(image, width, height)` | Crop from center |\n| | `crop_to_aspect(image, ratio)` | Crop to aspect ratio |\n| **Compositing** | `paste(bg, fg, position)` | Overlay at coordinates |\n| | `composite(bg, fg, mask)` | Alpha composite |\n| | `fit_to_canvas(image, w, h)` | Fit onto canvas size |\n| **Borders** | `add_border(image, width, color)` | Add solid border |\n| | `add_padding(image, padding)` | Add whitespace padding |\n| **Transforms** | `rotate(image, angle)` | Rotate by degrees |\n| | `flip_horizontal(image)` | Mirror horizontally |\n| | `flip_vertical(image)` | Flip vertically |\n| **Watermarks** | `add_text_watermark(image, text)` | Add text overlay |\n| | `add_image_watermark(image, logo)` | Add logo watermark |\n| **Adjustments** | `adjust_brightness(image, factor)` | Lighten\u002Fdarken |\n| | `adjust_contrast(image, factor)` | Adjust contrast |\n| | `adjust_saturation(image, factor)` | Adjust color saturation |\n| | `blur(image, radius)` | Apply Gaussian blur |\n| **Web** | `optimize_for_web(image, max_size)` | Optimize for delivery |\n| **Info** | `get_info(image)` | Get dimensions, format, mode |\n\n## Requirements\n\n```bash\npip install Pillow requests\n```\n\n## Basic Usage\n\n```python\nfrom image_utils import ImageUtils\n\n# Load from URL\nimage = ImageUtils.load_from_url(\"https:\u002F\u002Fexample.com\u002Fimage.jpg\")\n\n# Or load from various sources\nimage = ImageUtils.load(\"\u002Fpath\u002Fto\u002Fimage.png\")         # File path\nimage = ImageUtils.load(image_bytes)                  # Bytes\nimage = ImageUtils.load(\"data:image\u002Fpng;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```\n\n## Resizing & Scaling\n\n```python\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```\n\n## Cropping\n\n```python\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\u002FReels\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```\n\n## Compositing\n\n```python\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```\n\n## Format Conversion\n\n```python\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\u002Fpng;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```\n\n## Watermarks\n\n```python\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\u002Fimage 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```\n\n## Adjustments\n\n```python\n# Brightness (1.0 = original, \u003C1 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```\n\n## Transforms\n\n```python\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```\n\n## Borders & Padding\n\n```python\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```\n\n## Web Optimization\n\n```python\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```\n\n## Integration with AI Image Generation\n\nUse with Bria AI or other image generation APIs:\n\n```python\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```\n\n## Batch Processing Example\n\n```python\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 \u002F f\"{image_file.stem}.webp\"\n        ImageUtils.save(final, output_file, quality=85)\n\nprocess_catalog(\".\u002Fraw_images\", \".\u002Fprocessed\")\n```\n\n## API Reference\n\nSee [image_utils.py](.\u002Freferences\u002Fcode-examples\u002Fimage_utils.py) for complete implementation with docstrings.\n",{"name":5,"license":14,"metadata":23,"description":7},{"author":24,"version":25},"Bria AI","1.2.1","main","54afe4b75ed2eb8f0feabb2f5b57dfa4bcbb3c44",".agents\u002Fskills\u002Fimage-utils","https:\u002F\u002Fgithub.com\u002Fmeghal86\u002Fstacksignal","https:\u002F\u002Fgithub.com\u002Fmeghal86","2026-05-17 14:11:28",{"source":8,"skillName":5,"commands":33,"prompt":43,"zipAvailable":44},[34,37,40],{"tool":35,"command":36},"npx","npx skills add meghal86\u002Fstacksignal --skill image-utils",{"tool":38,"command":39},"bunx","bunx skills add meghal86\u002Fstacksignal --skill image-utils",{"tool":41,"command":42},"pnpm","pnpm dlx skills add meghal86\u002Fstacksignal --skill image-utils","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmeghal86\u002Fstacksignal\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fimage-utils\u002FSKILL.md",true,[46,52],{"path":47,"resourceType":48,"resourceTypeDesc":49,"sizeBytes":50,"sourceHtmlUrl":51},"_meta.json","REFERENCE","参考文档",464,"https:\u002F\u002Fgithub.com\u002Fmeghal86\u002Fstacksignal\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fimage-utils\u002F_meta.json",{"path":53,"resourceType":54,"resourceTypeDesc":55,"sizeBytes":56,"sourceHtmlUrl":57},"references\u002Fcode-examples\u002Fimage_utils.py","SCRIPT","脚本",27552,"https:\u002F\u002Fgithub.com\u002Fmeghal86\u002Fstacksignal\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fimage-utils\u002Freferences\u002Fcode-examples\u002Fimage_utils.py",[59,68,76,84,92,99],{"skillNo":60,"name":61,"nameZh":6,"description":62,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":63,"sourceHtmlUrl":64,"categories":65,"keywords":66,"publishedAt":67},"01M78XH0FRP65NYEDHF2BT7NB1","zvukogram","Text-to-Speech via Zvukogram API with SSML support. Use when you need to generate speech from text, create podcasts, voice notifications, or work with audio. Supports speed control, stress marks, English word transcription, and audio fragment merging.","https:\u002F\u002Fgithub.com\u002Fmeghal86\u002Fstacksignal\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fzvukogram\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fmeghal86\u002Fstacksignal\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fzvukogram\u002FSKILL.md",[],[],"2026-11-15 14:19:17",{"skillNo":69,"name":70,"nameZh":6,"description":71,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":72,"sourceHtmlUrl":73,"categories":74,"keywords":75,"publishedAt":67},"01M78XEND5ASXYB6MN8AQQGJAF","zohomail","Zoho Mail API integration with managed OAuth. Send, receive, and manage emails, folders, and labels.\nUse this skill when users want to send emails, read messages, manage folders, or work with email labels in Zoho Mail.\nFor other third party apps, use the api-gateway skill (https:\u002F\u002Fclawhub.ai\u002Fbyungkyu\u002Fapi-gateway).\nRequires network access and valid Maton API key.","https:\u002F\u002Fgithub.com\u002Fmeghal86\u002Fstacksignal\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fzohomail\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fmeghal86\u002Fstacksignal\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fzohomail\u002FSKILL.md",[],[],{"skillNo":77,"name":78,"nameZh":6,"description":79,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":80,"sourceHtmlUrl":81,"categories":82,"keywords":83,"publishedAt":67},"01M78XEBBV3C6DRZFAJXP6RDKS","zoho-recruit","Zoho Recruit API integration with managed OAuth. Manage candidates, job openings, interviews, and recruitment workflows.\nUse this skill when users want to read, create, update, or search recruitment data like candidates, job openings, interviews, and applications in Zoho Recruit.\nFor other third party apps, use the api-gateway skill (https:\u002F\u002Fclawhub.ai\u002Fbyungkyu\u002Fapi-gateway).\nRequires network access and valid Maton API key.","https:\u002F\u002Fgithub.com\u002Fmeghal86\u002Fstacksignal\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fzoho-recruit\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fmeghal86\u002Fstacksignal\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fzoho-recruit\u002FSKILL.md",[],[],{"skillNo":85,"name":86,"nameZh":6,"description":87,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":88,"sourceHtmlUrl":89,"categories":90,"keywords":91,"publishedAt":67},"01M78XE5CQG75DZWYSKGXFR99T","zoho-people","Zoho People API integration with managed OAuth. Manage employees, departments, designations, attendance, and leave.\nUse this skill when users want to read, create, update, or query HR data like employees, departments, designations, and forms in Zoho People.\nFor other third party apps, use the api-gateway skill (https:\u002F\u002Fclawhub.ai\u002Fbyungkyu\u002Fapi-gateway).\nRequires network access and valid Maton API key.","https:\u002F\u002Fgithub.com\u002Fmeghal86\u002Fstacksignal\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fzoho-people\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fmeghal86\u002Fstacksignal\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fzoho-people\u002FSKILL.md",[],[],{"skillNo":93,"name":94,"nameZh":6,"description":71,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":95,"sourceHtmlUrl":96,"categories":97,"keywords":98,"publishedAt":67},"01M78XDZKMZAJYFJJFT7MR5ZN2","zoho-mail","https:\u002F\u002Fgithub.com\u002Fmeghal86\u002Fstacksignal\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fzoho-mail\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fmeghal86\u002Fstacksignal\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fzoho-mail\u002FSKILL.md",[],[],{"skillNo":100,"name":101,"nameZh":6,"description":102,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":103,"sourceHtmlUrl":104,"categories":105,"keywords":106,"publishedAt":67},"01M78XDST8JK0WVDA1F3VPNWXD","zoho-inventory","Zoho Inventory API integration with managed OAuth. Manage items, sales orders, invoices, purchase orders, bills, contacts, and shipments.\nUse this skill when users want to read, create, update, or delete inventory items, sales orders, invoices, purchase orders, bills, or other inventory records in Zoho Inventory.\nFor other third party apps, use the api-gateway skill (https:\u002F\u002Fclawhub.ai\u002Fbyungkyu\u002Fapi-gateway).\nRequires network access and valid Maton API key.","https:\u002F\u002Fgithub.com\u002Fmeghal86\u002Fstacksignal\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fzoho-inventory\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fmeghal86\u002Fstacksignal\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fzoho-inventory\u002FSKILL.md",[],[]]