[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6E0BHTDJBADEYRTB02NJ8CX":3,"skill-same:01M6E0BHTDJBADEYRTB02NJ8CX":56},{"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":25,"publishedAt":30,"linkOnly":31,"markdownContent":32,"markdownBody":33,"frontMatter":34,"refName":35,"commitSha":36,"skillDirectory":37,"forksCount":13,"repositoryHtmlUrl":38,"repositoryHomepageUrl":39,"ownerHtmlUrl":40,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":41,"install":42,"resources":55},"01M6E0BHTDJBADEYRTB02NJ8CX","algorithmic-art",null,"Generate algorithmic art with various generative models and artistic styles","7dvq6yrkgs-stack\u002Fplaywright","7dvq6yrkgs-stack","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F251638143?v=4","01M6E061J2AMGWYZ6TK7Y8NM74","01M6E061PQCQJGQMPBERMCFN5G",0,"Apache-2.0","https:\u002F\u002Fgithub.com\u002F7dvq6yrkgs-stack\u002Fplaywright\u002Fblob\u002Fmain\u002Fskills\u002Fanthropics\u002Fautocode-intellisense\u002Falgorithmic-art\u002FSKILL.md",[17,22],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000015","视觉设计",[26,27,28,29],"algorithmic art","Art","generate","models","2026-11-10 10:12:30",false,"---\nname: algorithmic-art\ndescription: Generate algorithmic art with various generative models and artistic styles\n\n---\n\n## Algorithmic Art Skill\n\nA comprehensive skill for creating algorithmic art using multiple generative models and artistic styles. This skill allows you to generate images from text descriptions, code, mathematical functions, or user-provided parameters.\n\n## Tools\n\n### 1. Generate Image from Text\nGenerate an image from a text description using advanced diffusion models.\n\n```python\ngenerate_image_from_text(\n    prompt: str, \n    model: str = \"advanced_diffusion\",\n    style: str = \"photorealistic\",\n    aspect_ratio: str = \"1:1\",\n    seed: int = None,\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `prompt`: Text description of the desired image\n- `model`: Model to use ('advanced_diffusion', 'stable_diffusion', 'midjourney_v6', 'dall_e_3')\n- `style`: Artistic style ('photorealistic', 'cartoon', 'oil_painting', 'watercolor', 'anime', 'abstract', '3d_render', 'pencil_sketch', 'pixel_art', 'cyberpunk', 'fantasy')\n- `aspect_ratio`: Aspect ratio of the image ('1:1', '4:3', '3:4', '16:9', '9:16', '21:9', '9:21')\n- `seed`: Random seed for reproducibility (optional)\n- `parameters`: Additional model-specific parameters (optional)\n\n**Returns:**\n- Image ID, URL, and generation metadata\n\n### 2. Generate Image from Code\nGenerate an image from programming code (e.g., Processing, p5.js, GLSL).\n\n```python\ngenerate_image_from_code(\n    code: str, \n    language: str = \"processing\",\n    resolution: str = \"1024x1024\",\n    iterations: int = 1,\n    seed: int = None,\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `code`: Code to visualize\n- `language`: Programming language ('processing', 'p5js', 'glsl', 'python_turtle', 'openframeworks')\n- `resolution`: Output resolution ('1024x1024', '800x600', '1920x1080', etc.)\n- `iterations`: Number of images to generate (for variations)\n- `seed`: Random seed for reproducibility (optional)\n- `parameters`: Additional code execution parameters (optional)\n\n**Returns:**\n- Image ID, URL, and code execution metadata\n\n### 3. Generate Image from Mathematical Function\nGenerate images from mathematical functions or formulas.\n\n```python\ngenerate_image_from_function(\n    function: str, \n    domain: dict = {'x_min': -10, 'x_max': 10, 'y_min': -10, 'y_max': 10},\n    resolution: str = \"1024x1024\",\n    color_map: str = \"viridis\",\n    seed: int = None,\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `function`: Mathematical function (e.g., \"sin(sqrt(x^2 + y^2))\")\n- `domain`: Domain for x and y values\n- `resolution`: Output resolution\n- `color_map`: Color map to use ('viridis', 'plasma', 'inferno', 'magma', 'cividis', 'grayscale', 'custom')\n- `seed`: Random seed (optional)\n- `parameters`: Additional function parameters (optional)\n\n**Returns:**\n- Image ID, URL, and mathematical details\n\n### 4. Generate Fractals\nGenerate fractal images using various fractal algorithms.\n\n```python\ngenerate_fractals(\n    fractal_type: str, \n    iterations: int = 100,\n    resolution: str = \"1024x1024\",\n    zoom: float = 1.0,\n    offset: dict = {'x': 0, 'y': 0},\n    palette: list = None,\n    seed: int = None\n) -> dict\n```\n\n**Parameters:**\n- `fractal_type`: Fractal type ('mandelbrot', 'julia', 'sierpinski', 'lyapunov', 'newton_fractal', 'flame_fractal', 'burningship')\n- `iterations`: Maximum iterations for calculation\n- `resolution`: Output resolution\n- `zoom`: Zoom level for fractal\n- `offset`: Offset for viewing area\n- `palette`: Custom color palette (array of hex colors)\n- `seed`: Random seed (optional)\n\n**Returns:**\n- Image ID, URL, and fractal parameters\n\n### 5. Generate Geometric Patterns\nCreate geometric patterns using mathematical principles.\n\n```python\ngenerate_geometric_patterns(\n    pattern_type: str, \n    dimensions: dict,\n    resolution: str = \"1024x1024\",\n    color_scheme: dict = None,\n    seed: int = None,\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `pattern_type`: Pattern type ('tiling', 'mosaic', 'grid', 'fractal_geometry', 'spiral', 'polytope', 'voronoi')\n- `dimensions`: Pattern dimensions (width, height, tile_size)\n- `resolution`: Output resolution\n- `color_scheme`: Color scheme definition (optional)\n- `seed`: Random seed (optional)\n- `parameters`: Additional pattern parameters (optional)\n\n**Returns:**\n- Image ID, URL, and pattern details\n\n### 6. Create Style Transfer\nApply artistic style from one image to another.\n\n```python\ncreate_style_transfer(\n    content_image: str,\n    style_image: str,\n    model: str = \"neural_style_transfer\",\n    strength: float = 0.75,\n    iterations: int = 500,\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `content_image`: URL or ID of content image\n- `style_image`: URL or ID of style image\n- `model`: Model to use ('neural_style_transfer', 'fast_transfer', 'custom_model')\n- `strength`: Style strength (0.0 to 1.0)\n- `iterations`: Number of optimization iterations\n- `parameters`: Additional model parameters (optional)\n\n**Returns:**\n- Transferred image ID and URL\n\n### 7. Generate Variations\nCreate variations of an existing image.\n\n```python\ngenerate_variations(\n    image_id: str, \n    num_variations: int = 4,\n    variation_type: str = \"minor\",\n    variation_parameters: dict = None\n) -> list\n```\n\n**Parameters:**\n- `image_id`: Original image ID\n- `num_variations`: Number of variations to generate\n- `variation_type`: Type of variation ('minor', 'moderate', 'drastic', 'style_only', 'content_only')\n- `variation_parameters`: Specific variation parameters (optional)\n\n**Returns:**\n- List of variation image IDs and URLs\n\n### 8. Image-to-Image Transformation\nTransform an image based on a text prompt.\n\n```python\nimage_to_image_transformation(\n    image_id: str, \n    prompt: str,\n    strength: float = 0.7,\n    model: str = \"advanced_diffusion\",\n    style: str = None,\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `image_id`: Image to transform\n- `prompt`: Transformation description\n- `strength`: Transformation strength (0.0 to 1.0)\n- `model`: Model to use\n- `style`: Target style (optional)\n- `parameters`: Additional parameters (optional)\n\n**Returns:**\n- Transformed image ID and URL\n\n### 9. Generate Animated GIFs\nCreate animated GIFs from sequences or videos.\n\n```python\ngenerate_animated_gif(\n    source: str,  # Can be image IDs, video URL, or parameters\n    animation_type: str = \"sequence\",\n    duration: float = None,\n    loop: bool = True,\n    fps: int = 10,\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `source`: Source of animation (image IDs array, video URL, or generation parameters)\n- `animation_type`: Type of animation ('sequence', 'looping', 'ping_pong', 'travel')\n- `duration`: Duration of GIF in seconds (optional)\n- `loop`: Whether GIF should loop (optional)\n- `fps`: Frames per second (optional)\n- `parameters`: Additional animation parameters (optional)\n\n**Returns:**\n- Animated GIF ID, URL, and preview\n\n### 10. Generate 3D Artwork\nGenerate 3D models or renders using AI.\n\n```python\ngenerate_3d_artwork(\n    prompt: str,\n    model: str = \"diffusion_3d\",\n    resolution: str = \"1k\",\n    art_style: str = \"realistic\",\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `prompt`: Text description of 3D artwork\n- `model`: 3D generation model\n- `resolution`: Resolution ('512', '1k', '2k', '4k')\n- `art_style`: Artistic style ('realistic', 'stylized', 'abstract', 'low_poly', 'voxel', 'sketch')\n- `parameters`: Additional model parameters (optional)\n\n**Returns:**\n- 3D model ID, preview image, and download URL\n\n### 11. Create Geometric Patterns\nGenerate complex geometric patterns and tessellations.\n\n```python\ncreate_geometric_pattern(\n    pattern_type: str,\n    dimensions: dict,\n    symmetry_order: int = None,\n    color_palette: list = None,\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `pattern_type`: Geometric pattern type ('tessellation', 'wallpaper', 'fractal', 'mandala', 'polygon_grid', 'kaleidoscope')\n- `dimensions`: Pattern dimensions (width, height)\n- `symmetry_order`: Symmetry order (e.g., 4 for square, 6 for hexagonal)\n- `color_palette`: Color palette for the pattern\n- `parameters`: Additional pattern parameters (optional)\n\n**Returns:**\n- Pattern ID and generated image\n\n### 12. Create Algorithmic Animations\nGenerate complex algorithmic animations.\n\n```python\ncreate_algorithmic_animation(\n    algorithm: str,\n    duration: float,\n    resolution: str = \"1080p\",\n    fps: int = 30,\n    seed: int = None,\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `algorithm`: Animation algorithm ('fractal_evolution', 'cellular_automata', 'particle_system', 'geometric_morphing', 'noise_animation')\n- `duration`: Animation duration in seconds\n- `resolution`: Video resolution\n- `fps`: Frames per second\n- `seed`: Random seed (optional)\n- `parameters`: Additional algorithm parameters (optional)\n\n**Returns:**\n- Animation ID and video file\n\n### 13. Generate AI Art Portfolio\nCreate a professional portfolio of AI-generated art.\n\n```python\ncreate_portfolio(\n    name: str,\n    description: str = \"\",\n    art_categories: list = [],\n    layout: str = \"masonry\",\n    theme: str = \"dark\",\n    visibility: str = \"public\"\n) -> dict\n```\n\n**Parameters:**\n- `name`: Portfolio name\n- `description`: Portfolio description\n- `art_categories`: List of art categories\n- `layout`: Gallery layout ('masonry', 'grid', 'slideshow', 'carousel')\n- `theme`: Portfolio theme ('dark', 'light', 'minimal', 'creative', 'premium')\n- `visibility`: Visibility ('public', 'private', 'unlisted')\n\n**Returns:**\n- Portfolio ID and access link\n\n### 14. Create AI Art Collections\nOrganize artwork into curated collections.\n\n```python\ncreate_collection(\n    collection_name: str,\n    art_ids: list = [],\n    description: str = \"\",\n    collection_type: str = \"curated\",\n    tags: list = []\n) -> dict\n```\n\n**Parameters:**\n- `collection_name`: Name of the collection\n- `art_ids`: List of art IDs to include\n- `description`: Collection description\n- `collection_type`: Collection type ('curated', 'themed', 'chronological', 'experimental')\n- `tags`: Tags for the collection\n\n**Returns:**\n- Collection ID and preview\n\n### 15. Set Art Metadata\nSet detailed metadata for artwork.\n\n```python\nset_art_metadata(\n    art_id: str,\n    metadata: dict,\n    update_mode: str = \"merge\"\n) -> dict\n```\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `metadata`: Metadata dictionary (title, description, creation_date, artist, inspiration, technical_details)\n- `update_mode`: Update mode ('merge', 'replace', 'append')\n\n**Returns:**\n- Updated metadata\n\n### 16. Optimize Artwork\nOptimize artwork for web or print.\n\n```python\noptimize_artwork(\n    art_id: str,\n    optimization_type: str = \"web\",\n    max_size: int = None,\n    quality: int = 80,\n    format: str = \"auto\"\n) -> dict\n```\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `optimization_type`: 'web' for web, 'print' for print, 'lossless' for lossless\n- `max_size`: Maximum file size in KB (optional)\n- `quality`: Quality level (0-100)\n- `format`: Output format (auto, jpeg, png, webp)\n\n**Returns:**\n- Optimized file URL and size\n\n### 17. Generate Art-Based NFTs\nCreate NFTs from AI-generated artwork.\n\n```python\ncreate_nft(\n    art_id: str,\n    blockchain: str = \"ethereum\",\n    wallet_address: str,\n    mint_price: float = 0.01,\n    royalty_percentage: float = 10.0,\n    description: str = \"\",\n    properties: dict = {}\n) -> dict\n```\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `blockchain`: Blockchain network\n- `wallet_address`: Wallet address for minting\n- `mint_price`: Price in cryptocurrency\n- `royalty_percentage`: Royalty percentage\n- `description`: NFT description\n- `properties`: NFT properties metadata\n\n**Returns:**\n- NFT details and transaction hash\n\n### 18. Generate Art-Based Stories\nCreate stories inspired by artwork.\n\n```python\ngenerate_art_story(\n    art_id: str,\n    story_style: str = \"narrative\",\n    length: str = \"medium\",\n    perspective: str = \"third_person\",\n    tone: str = \"neutral\",\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `story_style`: Story style ('narrative', 'poetic', 'descriptive', 'experimental')\n- `length`: Story length ('short', 'medium', 'long')\n- `perspective`: Narrative perspective\n- `tone`: Story tone\n- `parameters`: Additional parameters (optional)\n\n**Returns:**\n- Story text and audio narration (optional)\n\n### 19. Generate Art-Based Music\nCreate music inspired by artwork.\n\n```python\ngenerate_art_music(\n    art_id: str,\n    music_genre: str = \"ambient\",\n    duration: float = 180,\n    mood: str = \"calm\",\n    tempo: int = 100,\n    instrumentation: list = None\n) -> dict\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `music_genre`: Music genre\n- `duration`: Song duration in seconds\n- `mood`: Musical mood\n- `tempo`: Beats per minute\n- `instrumentation`: List of instruments (optional)\n\n**Returns:**\n- Music track URL and metadata\n\n### 20. Generate Art-Based Animation\nCreate animations inspired by artwork.\n\n```python\ngenerate_art_animation(\n    art_id: str,\n    animation_type: str = \"loop\",\n    duration: float = 5,\n    style: str = \"artistic\",\n    resolution: str = \"1080p\",\n    parameters: dict = None\n) -> dict\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `animation_type`: 'loop', 'sequence', 'morphing', 'transition'\n- `duration`: Animation duration in seconds\n- `style`: Animation style\n- `resolution`: Video resolution\n- `parameters`: Additional parameters (optional)\n\n**Returns:**\n- Animation file URL and thumbnail\n\n### 21. Generate Art-Based Games\nCreate simple games inspired by artwork.\n\n```python\ngenerate_art_game(\n    art_id: str,\n    game_type: str = \"puzzle\",\n    platform: str = \"web\",\n    complexity: str = \"medium\",\n    theme: str = \"matching\",\n    parameters: dict = None\n) -> dict\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `game_type`: 'puzzle', 'memory', 'quiz', 'runner', 'platformer'\n- `platform`: Target platform ('web', 'mobile')\n- `complexity`: 'easy', 'medium', 'hard'\n- `theme`: Game theme (derived from artwork)\n- `parameters`: Additional parameters (optional)\n\n**Returns:**\n- Game package URL and play link\n\n### 22. Generate Art-Based VR\u002FAR Experience\nCreate immersive experiences based on artwork.\n\n```python\ngenerate_art_vr_ar(\n    art_id: str,\n    experience_type: str = \"vr\",\n    platform: str = \"vr_headset\",\n    interaction_model: str = \"gaze\",\n    environment: str = \"gallery\",\n    parameters: dict = None\n) -> dict\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `experience_type`: 'vr', 'ar', 'mixed_reality'\n- `platform`: Target platform\n- `interaction_model`: 'gaze', 'controller', 'voice', 'gesture'\n- `environment`: Virtual environment\n- `parameters`: Additional parameters (optional)\n\n**Returns:**\n- Experience package and launch instructions\n\n### 23. Generate Art-Based Interactive Installations\nCreate interactive installations for physical spaces.\n\n```python\ngenerate_art_installation(\n    art_id: str,\n    installation_type: str = \"reactive\",\n    interaction_method: str = \"touch\",\n    sensors_required: list = None,\n    duration: float = None,\n    space_requirements: dict = None,\n    parameters: dict = None\n) -> dict\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `installation_type`: 'reactive', 'projection', 'kinetic', 'audio_visual'\n- `interaction_method`: 'touch', 'motion', 'sound', 'proximity'\n- `sensors_required`: List of required sensors (optional)\n- `duration`: Installation duration (optional)\n- `space_requirements`: Space requirements (optional)\n- `parameters`: Additional parameters (optional)\n\n**Returns:**\n- Installation design and technical specs\n\n### 24. Generate Art-Based 3D Models\nCreate 3D models from artwork.\n\n```python\ngenerate_art_3d(\n    art_id: str,\n    model_type: str = \"sculpture\",\n    format: str = \"glb\",\n    resolution: str = \"high\",\n    purpose: str = \"display\",\n    parameters: dict = None\n) -> dict\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `model_type`: 'sculpture', 'object', 'environment', 'character'\n- `format`: Output format ('glb', 'obj', 'fbx', 'stl')\n- `resolution`: 'low', 'medium', 'high', 'ultra_high'\n- `purpose`: 'display', 'animation', '3d_printing', 'game_asset'\n- `parameters`: Additional parameters (optional)\n\n**Returns:**\n- 3D model file and preview\n\n### 25. Generate Art-Based Merchandise\nCreate product designs based on artwork.\n\n```python\ngenerate_art_merchandise(\n    art_id: str,\n    product_type: str = \"tshirt\",\n    design_placement: str = \"front\",\n    color_variants: list = None,\n    size_variants: list = None,\n    print_format: str = \"digital\",\n    parameters: dict = None\n) -> dict\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `product_type`: 'tshirt', 'mug', 'poster', 'phone_case', 'tote_bag'\n- `design_placement`: 'front', 'back', 'all_over'\n- `color_variants`: List of colors\n- `size_variants`: List of sizes\n- `print_format`: 'digital', 'screen_print', 'digital_print'\n- `parameters`: Additional parameters (optional)\n\n**Returns:**\n- Product mockups and print-ready files\n\n### 26. Generate Art-Based NFTs\nCreate NFTs from AI-generated artwork.\n\n```python\ncreate_nft(\n    art_id: str,\n    blockchain: str = \"ethereum\",\n    wallet_address: str,\n    mint_price: float = 0.01,\n    royalty_percentage: float = 10.0,\n    description: str = \"\",\n    properties: dict = {}\n) -> dict\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `blockchain`: Blockchain network\n- `wallet_address`: Wallet address for minting\n- `mint_price`: Price in cryptocurrency\n- `royalty_percentage`: Royalty percentage\n- `description`: NFT description\n- `properties`: NFT properties metadata\n\n**Returns:**\n- NFT details and transaction hash\n\n### 27. Generate Art-Based Stories\nCreate stories inspired by artwork.\n\n```python\ngenerate_art_story(\n    art_id: str,\n    story_style: str = \"narrative\",\n    length: str = \"medium\",\n    perspective: str = \"third_person\",\n    tone: str = \"neutral\",\n    parameters: dict = None\n) -> dict\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `story_style`: Story style ('narrative', 'poetic', 'descriptive', 'experimental')\n- `length`: Story length ('short', 'medium', 'long')\n- `perspective`: Narrative perspective\n- `tone`: Story tone\n- `parameters`: Additional parameters (optional)\n\n**Returns:**\n- Story text and audio narration (optional)\n\n### 28. Generate Art-Based Music\nCreate music inspired by artwork.\n\n```python\ngenerate_art_music(\n    art_id: str,\n    music_genre: str = \"ambient\",\n    duration: float = 180,\n    mood: str = \"calm\",\n    tempo: int = 100,\n    instrumentation: list = None\n) -> dict\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `music_genre`: Music genre\n- `duration`: Song duration in seconds\n- `mood`: Musical mood\n- `tempo`: Beats per minute\n- `instrumentation`: List of\n\n","## Algorithmic Art Skill\n\nA comprehensive skill for creating algorithmic art using multiple generative models and artistic styles. This skill allows you to generate images from text descriptions, code, mathematical functions, or user-provided parameters.\n\n## Tools\n\n### 1. Generate Image from Text\nGenerate an image from a text description using advanced diffusion models.\n\n```python\ngenerate_image_from_text(\n    prompt: str, \n    model: str = \"advanced_diffusion\",\n    style: str = \"photorealistic\",\n    aspect_ratio: str = \"1:1\",\n    seed: int = None,\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `prompt`: Text description of the desired image\n- `model`: Model to use ('advanced_diffusion', 'stable_diffusion', 'midjourney_v6', 'dall_e_3')\n- `style`: Artistic style ('photorealistic', 'cartoon', 'oil_painting', 'watercolor', 'anime', 'abstract', '3d_render', 'pencil_sketch', 'pixel_art', 'cyberpunk', 'fantasy')\n- `aspect_ratio`: Aspect ratio of the image ('1:1', '4:3', '3:4', '16:9', '9:16', '21:9', '9:21')\n- `seed`: Random seed for reproducibility (optional)\n- `parameters`: Additional model-specific parameters (optional)\n\n**Returns:**\n- Image ID, URL, and generation metadata\n\n### 2. Generate Image from Code\nGenerate an image from programming code (e.g., Processing, p5.js, GLSL).\n\n```python\ngenerate_image_from_code(\n    code: str, \n    language: str = \"processing\",\n    resolution: str = \"1024x1024\",\n    iterations: int = 1,\n    seed: int = None,\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `code`: Code to visualize\n- `language`: Programming language ('processing', 'p5js', 'glsl', 'python_turtle', 'openframeworks')\n- `resolution`: Output resolution ('1024x1024', '800x600', '1920x1080', etc.)\n- `iterations`: Number of images to generate (for variations)\n- `seed`: Random seed for reproducibility (optional)\n- `parameters`: Additional code execution parameters (optional)\n\n**Returns:**\n- Image ID, URL, and code execution metadata\n\n### 3. Generate Image from Mathematical Function\nGenerate images from mathematical functions or formulas.\n\n```python\ngenerate_image_from_function(\n    function: str, \n    domain: dict = {'x_min': -10, 'x_max': 10, 'y_min': -10, 'y_max': 10},\n    resolution: str = \"1024x1024\",\n    color_map: str = \"viridis\",\n    seed: int = None,\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `function`: Mathematical function (e.g., \"sin(sqrt(x^2 + y^2))\")\n- `domain`: Domain for x and y values\n- `resolution`: Output resolution\n- `color_map`: Color map to use ('viridis', 'plasma', 'inferno', 'magma', 'cividis', 'grayscale', 'custom')\n- `seed`: Random seed (optional)\n- `parameters`: Additional function parameters (optional)\n\n**Returns:**\n- Image ID, URL, and mathematical details\n\n### 4. Generate Fractals\nGenerate fractal images using various fractal algorithms.\n\n```python\ngenerate_fractals(\n    fractal_type: str, \n    iterations: int = 100,\n    resolution: str = \"1024x1024\",\n    zoom: float = 1.0,\n    offset: dict = {'x': 0, 'y': 0},\n    palette: list = None,\n    seed: int = None\n) -> dict\n```\n\n**Parameters:**\n- `fractal_type`: Fractal type ('mandelbrot', 'julia', 'sierpinski', 'lyapunov', 'newton_fractal', 'flame_fractal', 'burningship')\n- `iterations`: Maximum iterations for calculation\n- `resolution`: Output resolution\n- `zoom`: Zoom level for fractal\n- `offset`: Offset for viewing area\n- `palette`: Custom color palette (array of hex colors)\n- `seed`: Random seed (optional)\n\n**Returns:**\n- Image ID, URL, and fractal parameters\n\n### 5. Generate Geometric Patterns\nCreate geometric patterns using mathematical principles.\n\n```python\ngenerate_geometric_patterns(\n    pattern_type: str, \n    dimensions: dict,\n    resolution: str = \"1024x1024\",\n    color_scheme: dict = None,\n    seed: int = None,\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `pattern_type`: Pattern type ('tiling', 'mosaic', 'grid', 'fractal_geometry', 'spiral', 'polytope', 'voronoi')\n- `dimensions`: Pattern dimensions (width, height, tile_size)\n- `resolution`: Output resolution\n- `color_scheme`: Color scheme definition (optional)\n- `seed`: Random seed (optional)\n- `parameters`: Additional pattern parameters (optional)\n\n**Returns:**\n- Image ID, URL, and pattern details\n\n### 6. Create Style Transfer\nApply artistic style from one image to another.\n\n```python\ncreate_style_transfer(\n    content_image: str,\n    style_image: str,\n    model: str = \"neural_style_transfer\",\n    strength: float = 0.75,\n    iterations: int = 500,\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `content_image`: URL or ID of content image\n- `style_image`: URL or ID of style image\n- `model`: Model to use ('neural_style_transfer', 'fast_transfer', 'custom_model')\n- `strength`: Style strength (0.0 to 1.0)\n- `iterations`: Number of optimization iterations\n- `parameters`: Additional model parameters (optional)\n\n**Returns:**\n- Transferred image ID and URL\n\n### 7. Generate Variations\nCreate variations of an existing image.\n\n```python\ngenerate_variations(\n    image_id: str, \n    num_variations: int = 4,\n    variation_type: str = \"minor\",\n    variation_parameters: dict = None\n) -> list\n```\n\n**Parameters:**\n- `image_id`: Original image ID\n- `num_variations`: Number of variations to generate\n- `variation_type`: Type of variation ('minor', 'moderate', 'drastic', 'style_only', 'content_only')\n- `variation_parameters`: Specific variation parameters (optional)\n\n**Returns:**\n- List of variation image IDs and URLs\n\n### 8. Image-to-Image Transformation\nTransform an image based on a text prompt.\n\n```python\nimage_to_image_transformation(\n    image_id: str, \n    prompt: str,\n    strength: float = 0.7,\n    model: str = \"advanced_diffusion\",\n    style: str = None,\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `image_id`: Image to transform\n- `prompt`: Transformation description\n- `strength`: Transformation strength (0.0 to 1.0)\n- `model`: Model to use\n- `style`: Target style (optional)\n- `parameters`: Additional parameters (optional)\n\n**Returns:**\n- Transformed image ID and URL\n\n### 9. Generate Animated GIFs\nCreate animated GIFs from sequences or videos.\n\n```python\ngenerate_animated_gif(\n    source: str,  # Can be image IDs, video URL, or parameters\n    animation_type: str = \"sequence\",\n    duration: float = None,\n    loop: bool = True,\n    fps: int = 10,\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `source`: Source of animation (image IDs array, video URL, or generation parameters)\n- `animation_type`: Type of animation ('sequence', 'looping', 'ping_pong', 'travel')\n- `duration`: Duration of GIF in seconds (optional)\n- `loop`: Whether GIF should loop (optional)\n- `fps`: Frames per second (optional)\n- `parameters`: Additional animation parameters (optional)\n\n**Returns:**\n- Animated GIF ID, URL, and preview\n\n### 10. Generate 3D Artwork\nGenerate 3D models or renders using AI.\n\n```python\ngenerate_3d_artwork(\n    prompt: str,\n    model: str = \"diffusion_3d\",\n    resolution: str = \"1k\",\n    art_style: str = \"realistic\",\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `prompt`: Text description of 3D artwork\n- `model`: 3D generation model\n- `resolution`: Resolution ('512', '1k', '2k', '4k')\n- `art_style`: Artistic style ('realistic', 'stylized', 'abstract', 'low_poly', 'voxel', 'sketch')\n- `parameters`: Additional model parameters (optional)\n\n**Returns:**\n- 3D model ID, preview image, and download URL\n\n### 11. Create Geometric Patterns\nGenerate complex geometric patterns and tessellations.\n\n```python\ncreate_geometric_pattern(\n    pattern_type: str,\n    dimensions: dict,\n    symmetry_order: int = None,\n    color_palette: list = None,\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `pattern_type`: Geometric pattern type ('tessellation', 'wallpaper', 'fractal', 'mandala', 'polygon_grid', 'kaleidoscope')\n- `dimensions`: Pattern dimensions (width, height)\n- `symmetry_order`: Symmetry order (e.g., 4 for square, 6 for hexagonal)\n- `color_palette`: Color palette for the pattern\n- `parameters`: Additional pattern parameters (optional)\n\n**Returns:**\n- Pattern ID and generated image\n\n### 12. Create Algorithmic Animations\nGenerate complex algorithmic animations.\n\n```python\ncreate_algorithmic_animation(\n    algorithm: str,\n    duration: float,\n    resolution: str = \"1080p\",\n    fps: int = 30,\n    seed: int = None,\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `algorithm`: Animation algorithm ('fractal_evolution', 'cellular_automata', 'particle_system', 'geometric_morphing', 'noise_animation')\n- `duration`: Animation duration in seconds\n- `resolution`: Video resolution\n- `fps`: Frames per second\n- `seed`: Random seed (optional)\n- `parameters`: Additional algorithm parameters (optional)\n\n**Returns:**\n- Animation ID and video file\n\n### 13. Generate AI Art Portfolio\nCreate a professional portfolio of AI-generated art.\n\n```python\ncreate_portfolio(\n    name: str,\n    description: str = \"\",\n    art_categories: list = [],\n    layout: str = \"masonry\",\n    theme: str = \"dark\",\n    visibility: str = \"public\"\n) -> dict\n```\n\n**Parameters:**\n- `name`: Portfolio name\n- `description`: Portfolio description\n- `art_categories`: List of art categories\n- `layout`: Gallery layout ('masonry', 'grid', 'slideshow', 'carousel')\n- `theme`: Portfolio theme ('dark', 'light', 'minimal', 'creative', 'premium')\n- `visibility`: Visibility ('public', 'private', 'unlisted')\n\n**Returns:**\n- Portfolio ID and access link\n\n### 14. Create AI Art Collections\nOrganize artwork into curated collections.\n\n```python\ncreate_collection(\n    collection_name: str,\n    art_ids: list = [],\n    description: str = \"\",\n    collection_type: str = \"curated\",\n    tags: list = []\n) -> dict\n```\n\n**Parameters:**\n- `collection_name`: Name of the collection\n- `art_ids`: List of art IDs to include\n- `description`: Collection description\n- `collection_type`: Collection type ('curated', 'themed', 'chronological', 'experimental')\n- `tags`: Tags for the collection\n\n**Returns:**\n- Collection ID and preview\n\n### 15. Set Art Metadata\nSet detailed metadata for artwork.\n\n```python\nset_art_metadata(\n    art_id: str,\n    metadata: dict,\n    update_mode: str = \"merge\"\n) -> dict\n```\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `metadata`: Metadata dictionary (title, description, creation_date, artist, inspiration, technical_details)\n- `update_mode`: Update mode ('merge', 'replace', 'append')\n\n**Returns:**\n- Updated metadata\n\n### 16. Optimize Artwork\nOptimize artwork for web or print.\n\n```python\noptimize_artwork(\n    art_id: str,\n    optimization_type: str = \"web\",\n    max_size: int = None,\n    quality: int = 80,\n    format: str = \"auto\"\n) -> dict\n```\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `optimization_type`: 'web' for web, 'print' for print, 'lossless' for lossless\n- `max_size`: Maximum file size in KB (optional)\n- `quality`: Quality level (0-100)\n- `format`: Output format (auto, jpeg, png, webp)\n\n**Returns:**\n- Optimized file URL and size\n\n### 17. Generate Art-Based NFTs\nCreate NFTs from AI-generated artwork.\n\n```python\ncreate_nft(\n    art_id: str,\n    blockchain: str = \"ethereum\",\n    wallet_address: str,\n    mint_price: float = 0.01,\n    royalty_percentage: float = 10.0,\n    description: str = \"\",\n    properties: dict = {}\n) -> dict\n```\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `blockchain`: Blockchain network\n- `wallet_address`: Wallet address for minting\n- `mint_price`: Price in cryptocurrency\n- `royalty_percentage`: Royalty percentage\n- `description`: NFT description\n- `properties`: NFT properties metadata\n\n**Returns:**\n- NFT details and transaction hash\n\n### 18. Generate Art-Based Stories\nCreate stories inspired by artwork.\n\n```python\ngenerate_art_story(\n    art_id: str,\n    story_style: str = \"narrative\",\n    length: str = \"medium\",\n    perspective: str = \"third_person\",\n    tone: str = \"neutral\",\n    parameters: dict = None\n) -> dict\n```\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `story_style`: Story style ('narrative', 'poetic', 'descriptive', 'experimental')\n- `length`: Story length ('short', 'medium', 'long')\n- `perspective`: Narrative perspective\n- `tone`: Story tone\n- `parameters`: Additional parameters (optional)\n\n**Returns:**\n- Story text and audio narration (optional)\n\n### 19. Generate Art-Based Music\nCreate music inspired by artwork.\n\n```python\ngenerate_art_music(\n    art_id: str,\n    music_genre: str = \"ambient\",\n    duration: float = 180,\n    mood: str = \"calm\",\n    tempo: int = 100,\n    instrumentation: list = None\n) -> dict\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `music_genre`: Music genre\n- `duration`: Song duration in seconds\n- `mood`: Musical mood\n- `tempo`: Beats per minute\n- `instrumentation`: List of instruments (optional)\n\n**Returns:**\n- Music track URL and metadata\n\n### 20. Generate Art-Based Animation\nCreate animations inspired by artwork.\n\n```python\ngenerate_art_animation(\n    art_id: str,\n    animation_type: str = \"loop\",\n    duration: float = 5,\n    style: str = \"artistic\",\n    resolution: str = \"1080p\",\n    parameters: dict = None\n) -> dict\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `animation_type`: 'loop', 'sequence', 'morphing', 'transition'\n- `duration`: Animation duration in seconds\n- `style`: Animation style\n- `resolution`: Video resolution\n- `parameters`: Additional parameters (optional)\n\n**Returns:**\n- Animation file URL and thumbnail\n\n### 21. Generate Art-Based Games\nCreate simple games inspired by artwork.\n\n```python\ngenerate_art_game(\n    art_id: str,\n    game_type: str = \"puzzle\",\n    platform: str = \"web\",\n    complexity: str = \"medium\",\n    theme: str = \"matching\",\n    parameters: dict = None\n) -> dict\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `game_type`: 'puzzle', 'memory', 'quiz', 'runner', 'platformer'\n- `platform`: Target platform ('web', 'mobile')\n- `complexity`: 'easy', 'medium', 'hard'\n- `theme`: Game theme (derived from artwork)\n- `parameters`: Additional parameters (optional)\n\n**Returns:**\n- Game package URL and play link\n\n### 22. Generate Art-Based VR\u002FAR Experience\nCreate immersive experiences based on artwork.\n\n```python\ngenerate_art_vr_ar(\n    art_id: str,\n    experience_type: str = \"vr\",\n    platform: str = \"vr_headset\",\n    interaction_model: str = \"gaze\",\n    environment: str = \"gallery\",\n    parameters: dict = None\n) -> dict\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `experience_type`: 'vr', 'ar', 'mixed_reality'\n- `platform`: Target platform\n- `interaction_model`: 'gaze', 'controller', 'voice', 'gesture'\n- `environment`: Virtual environment\n- `parameters`: Additional parameters (optional)\n\n**Returns:**\n- Experience package and launch instructions\n\n### 23. Generate Art-Based Interactive Installations\nCreate interactive installations for physical spaces.\n\n```python\ngenerate_art_installation(\n    art_id: str,\n    installation_type: str = \"reactive\",\n    interaction_method: str = \"touch\",\n    sensors_required: list = None,\n    duration: float = None,\n    space_requirements: dict = None,\n    parameters: dict = None\n) -> dict\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `installation_type`: 'reactive', 'projection', 'kinetic', 'audio_visual'\n- `interaction_method`: 'touch', 'motion', 'sound', 'proximity'\n- `sensors_required`: List of required sensors (optional)\n- `duration`: Installation duration (optional)\n- `space_requirements`: Space requirements (optional)\n- `parameters`: Additional parameters (optional)\n\n**Returns:**\n- Installation design and technical specs\n\n### 24. Generate Art-Based 3D Models\nCreate 3D models from artwork.\n\n```python\ngenerate_art_3d(\n    art_id: str,\n    model_type: str = \"sculpture\",\n    format: str = \"glb\",\n    resolution: str = \"high\",\n    purpose: str = \"display\",\n    parameters: dict = None\n) -> dict\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `model_type`: 'sculpture', 'object', 'environment', 'character'\n- `format`: Output format ('glb', 'obj', 'fbx', 'stl')\n- `resolution`: 'low', 'medium', 'high', 'ultra_high'\n- `purpose`: 'display', 'animation', '3d_printing', 'game_asset'\n- `parameters`: Additional parameters (optional)\n\n**Returns:**\n- 3D model file and preview\n\n### 25. Generate Art-Based Merchandise\nCreate product designs based on artwork.\n\n```python\ngenerate_art_merchandise(\n    art_id: str,\n    product_type: str = \"tshirt\",\n    design_placement: str = \"front\",\n    color_variants: list = None,\n    size_variants: list = None,\n    print_format: str = \"digital\",\n    parameters: dict = None\n) -> dict\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `product_type`: 'tshirt', 'mug', 'poster', 'phone_case', 'tote_bag'\n- `design_placement`: 'front', 'back', 'all_over'\n- `color_variants`: List of colors\n- `size_variants`: List of sizes\n- `print_format`: 'digital', 'screen_print', 'digital_print'\n- `parameters`: Additional parameters (optional)\n\n**Returns:**\n- Product mockups and print-ready files\n\n### 26. Generate Art-Based NFTs\nCreate NFTs from AI-generated artwork.\n\n```python\ncreate_nft(\n    art_id: str,\n    blockchain: str = \"ethereum\",\n    wallet_address: str,\n    mint_price: float = 0.01,\n    royalty_percentage: float = 10.0,\n    description: str = \"\",\n    properties: dict = {}\n) -> dict\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `blockchain`: Blockchain network\n- `wallet_address`: Wallet address for minting\n- `mint_price`: Price in cryptocurrency\n- `royalty_percentage`: Royalty percentage\n- `description`: NFT description\n- `properties`: NFT properties metadata\n\n**Returns:**\n- NFT details and transaction hash\n\n### 27. Generate Art-Based Stories\nCreate stories inspired by artwork.\n\n```python\ngenerate_art_story(\n    art_id: str,\n    story_style: str = \"narrative\",\n    length: str = \"medium\",\n    perspective: str = \"third_person\",\n    tone: str = \"neutral\",\n    parameters: dict = None\n) -> dict\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `story_style`: Story style ('narrative', 'poetic', 'descriptive', 'experimental')\n- `length`: Story length ('short', 'medium', 'long')\n- `perspective`: Narrative perspective\n- `tone`: Story tone\n- `parameters`: Additional parameters (optional)\n\n**Returns:**\n- Story text and audio narration (optional)\n\n### 28. Generate Art-Based Music\nCreate music inspired by artwork.\n\n```python\ngenerate_art_music(\n    art_id: str,\n    music_genre: str = \"ambient\",\n    duration: float = 180,\n    mood: str = \"calm\",\n    tempo: int = 100,\n    instrumentation: list = None\n) -> dict\n\n**Parameters:**\n- `art_id`: ID of the artwork\n- `music_genre`: Music genre\n- `duration`: Song duration in seconds\n- `mood`: Musical mood\n- `tempo`: Beats per minute\n- `instrumentation`: List of\n\n",{"name":5,"description":7},"main","a2e3284ed4488780397ee2f78217366e11470dfb","skills\u002Fanthropics\u002Fautocode-intellisense\u002Falgorithmic-art","https:\u002F\u002Fgithub.com\u002F7dvq6yrkgs-stack\u002Fplaywright","https:\u002F\u002Fplaywright.dev","https:\u002F\u002Fgithub.com\u002F7dvq6yrkgs-stack","2026-04-25 06:04:45",{"source":8,"skillName":5,"commands":43,"prompt":53,"zipAvailable":54},[44,47,50],{"tool":45,"command":46},"npx","npx skills add 7dvq6yrkgs-stack\u002Fplaywright --skill algorithmic-art",{"tool":48,"command":49},"bunx","bunx skills add 7dvq6yrkgs-stack\u002Fplaywright --skill algorithmic-art",{"tool":51,"command":52},"pnpm","pnpm dlx skills add 7dvq6yrkgs-stack\u002Fplaywright --skill algorithmic-art","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002F7dvq6yrkgs-stack\u002Fplaywright\u002Fblob\u002Fmain\u002Fskills\u002Fanthropics\u002Fautocode-intellisense\u002Falgorithmic-art\u002FSKILL.md",true,[],[57,87,97,107,122,137],{"skillNo":58,"name":59,"nameZh":6,"description":60,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":61,"categories":62,"keywords":75,"publishedAt":30},"01M6E3XK4PRPMQHM7Y98FQPTY1","zyte-api-automation","Automate Zyte API tasks via Rube MCP (Composio). Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002F7dvq6yrkgs-stack\u002Fplaywright\u002Fblob\u002Fmain\u002Fskills\u002Fzyte-api-automation\u002FSKILL.md",[63,64,67,70],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":65,"categoryName":66,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":68,"categoryName":69,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":71,"categoryName":72,"taxonomyType":73,"taxonomyTypeDesc":74},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[76,77,78,79,80,81,82,83,84,85,86],"zyte api automation","api","automation","MCP","tasks","search","Tools","first","automate","composio","via",{"skillNo":88,"name":89,"nameZh":6,"description":90,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":91,"categories":92,"keywords":95,"publishedAt":30},"01M6E3XFX6QSTR1QR59NFXJTMA","zylvie-automation","Automate Zylvie tasks via Rube MCP (Composio). Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002F7dvq6yrkgs-stack\u002Fplaywright\u002Fblob\u002Fmain\u002Fskills\u002Fzylvie-automation\u002FSKILL.md",[93,94],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":68,"categoryName":69,"taxonomyType":20,"taxonomyTypeDesc":21},[96,78,84,79,80,81,82,83,85,86],"zylvie automation",{"skillNo":98,"name":99,"nameZh":6,"description":100,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":101,"categories":102,"keywords":105,"publishedAt":30},"01M6E3XCX2GDYYCHN58ZJHT37M","zoominfo-automation","Automate Zoominfo tasks via Rube MCP (Composio). Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002F7dvq6yrkgs-stack\u002Fplaywright\u002Fblob\u002Fmain\u002Fskills\u002Fzoominfo-automation\u002FSKILL.md",[103,104],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":68,"categoryName":69,"taxonomyType":20,"taxonomyTypeDesc":21},[106,78,81,82,83,84,85,86,80,79],"zoominfo automation",{"skillNo":108,"name":109,"nameZh":6,"description":110,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":111,"categories":112,"keywords":115,"publishedAt":30},"01M6E3X9WJ2T73216WQHHTB9BD","zoho_mail-automation","Automate Zoho Mail tasks via Rube MCP (Composio): email sending, folders, labels, and mailbox management. Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002F7dvq6yrkgs-stack\u002Fplaywright\u002Fblob\u002Fmain\u002Fskills\u002Fzoho_mail-automation\u002FSKILL.md",[113,114],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":68,"categoryName":69,"taxonomyType":20,"taxonomyTypeDesc":21},[116,117,118,78,79,80,81,119,82,83,84,120,85,121,86],"mail","zoho mail automation","zoho","email","management","mailbox",{"skillNo":123,"name":124,"nameZh":6,"description":125,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":126,"categories":127,"keywords":133,"publishedAt":30},"01M6E3X719W648XZBW1EC6JQ64","zoho_invoice-automation","Automate Zoho Invoice tasks via Rube MCP (Composio): invoices, estimates, expenses, clients, and payment tracking. Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002F7dvq6yrkgs-stack\u002Fplaywright\u002Fblob\u002Fmain\u002Fskills\u002Fzoho_invoice-automation\u002FSKILL.md",[128,129,130],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":68,"categoryName":69,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":131,"categoryName":132,"taxonomyType":73,"taxonomyTypeDesc":74},"01JBSEEDCAT000000000000040","财务",[134,118,78,80,81,82,83,84,135,136,85,86,79],"zoho invoice automation","tracking","payment",{"skillNo":138,"name":139,"nameZh":6,"description":140,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":141,"categories":142,"keywords":145,"publishedAt":30},"01M6E3X28JYTC3QTK32AQF7BYB","zoho_inventory-automation","Automate Zoho Inventory tasks via Rube MCP (Composio): items, orders, warehouses, shipments, and stock management. Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002F7dvq6yrkgs-stack\u002Fplaywright\u002Fblob\u002Fmain\u002Fskills\u002Fzoho_inventory-automation\u002FSKILL.md",[143,144],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":68,"categoryName":69,"taxonomyType":20,"taxonomyTypeDesc":21},[78,146,118,147,83,84,82,81,80,79,85,86,148,149,120],"inventory","zoho inventory automation","stock","orders"]