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AI-powered motion graphics and video content creation for marketing and content workflows.

Generate professional content including images, diagrams, documents, and summaries using AI-powered tools.

Generate professional subtitles and captions for videos using each::sense. This skill creates accurate transcriptions, multi-language subtitles, animated captions, and various export formats optimized for social media, video production, and accessibility.

Comprehensive guide to using Meta's AudioCraft for text-to-music and text-to-audio generation with MusicGen, AudioGen, and EnCodec.

Generate images with 50+ AI models including FLUX, Gemini, Grok, and Seedream via inference.sh CLI. \n \n Supports text-to-image, image-to-image, inpainting, LoRA fine-tuning, image editing, upscaling, and text rendering across multiple model families \n Models range from ultra-fast budget options (FLUX Klein at $0.0001/image) to high-fidelity 4K outputs (ImagineArt, Seedream 4.5) \n Includes Google Gemini, xAI Grok, ByteDance Seedream, and Pruna P-Image variants optimized for speed, quality, or

Generate comprehensive, LLM-ready brand voice guidelines from any combination of sources — brand documents, sales call transcripts, discovery reports, or direct user input. Transform raw materials into structured, enforceable guidelines with confidence scoring and open questions.

This skill generates high-quality images using structured prompts and a Python script. The workflow includes creating JSON-formatted prompts and executing image generation with optional reference images.

Generate images using ModelScope's Z-Image API with simple command-line prompts. \n \n Supports three API key configuration methods: hardcoded in script, command-line argument, or .env file in the scripts folder \n Accepts optional parameters for custom output filename and alternative model IDs \n Requires Python 3 with requests library and a ModelScope account with Alibaba Cloud binding for API access \n Returns 401 errors if the account lacks proper Alibaba Cloud setup; users must bind their a

Text-to-image generation and image transformation with Stable Diffusion models via HuggingFace Diffusers. \n \n Supports multiple generation modes: text-to-image, image-to-image translation, inpainting, outpainting, and ControlNet spatial conditioning for precise control \n Compatible with SD 1.5, SDXL, SD 3.0, and Flux models; includes scheduler swapping (Euler, DPM-Solver, LCM) for quality and speed trade-offs \n LoRA adapter support for efficient style fine-tuning and multi-adapter compositio

Comprehensive guide to code generation techniques including template engines, AST manipulation, code scaffolding, and automated boilerplate generation for increased productivity and consistency.