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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

Schema-driven generation primitives for images, videos, and audio.

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.

Generate, maintain, and validate OpenAPI 3.1 specifications for RESTful APIs. \n \n Supports design-first, code-first, and hybrid approaches with templates for complete specs, FastAPI/Python generation, and TypeScript/Express decorators \n Includes reusable components for schemas, parameters, responses, and security schemes to minimize duplication across endpoints \n Provides Spectral and Redocly validation rules to enforce naming conventions, security requirements, and documentation standards \

Generate music and songs via three AI models through the inference.sh CLI. \n \n Three models available: ElevenLabs Music (up to 10 min with commercial license), Diffrythm (fast generation), and Tencent Song Generation (full songs with vocals) \n Supports text-to-music, instrumental tracks, lyrics-to-song, and soundtrack creation via simple CLI commands \n Prompt-based generation using genre, mood, instrument, and structure keywords for precise control \n Ideal for social media content, podcasts

Test data generation creates realistic, consistent, and maintainable test data for automated testing. Well-designed test data reduces test brittleness, improves readability, and makes it easier to create diverse test scenarios.