Skill UI

Generate premium images, videos, and audio straight from the terminal using muapi.ai’s schema-driven workflows and 100+ models such as Flux, Midjourney, Kling, Veo, and Suno.

This script automates the generation of a complete set of favicons (including favicon.ico, various PNG sizes, and SVG) from a single source image. It intelligently detects the project framework (e.g., Next.js, Rails, Gatsby) to place assets in the correct static directory, generates the necessary webmanifest, and updates the project's HTML/layout files with the proper link tags.

A robust, production-grade REST API gateway designed to wrap ComfyUI servers. It provides comprehensive features including workflow templating, job queuing (with priorities), webhooks, result caching, authentication, and rate limiting. It transforms ComfyUI into a universal, scalable, and secure service for automated image generation pipelines.

This comprehensive guide provides minimal working examples for key Adobe APIs: Firefly AI image generation, PDF content extraction, and Photoshop background removal. It serves as a practical quickstart for developers starting new Adobe integrations, testing API connectivity, or learning basic API calling patterns using TypeScript and Node.js.

This guide provides expert strategies for optimizing GPU inference performance on CoreWeave infrastructure. It covers GPU selection based on workload (LLM, image generation, training), advanced techniques like continuous batching (using vLLM), autoscaling setup (HPA), and benchmarking data. Use this to maximize GPU utilization, minimize latency, and optimize large-scale AI model deployment.

A comprehensive checklist and implementation guide for utilizing RunwayML's API for advanced AI video generation and image editing. This skill provides the Python SDK pattern, covering tasks like image-to-video creation, model selection, and waiting for task completion. It also includes critical error handling for common issues (e.g., unauthorized access or insufficient credits), making it essential for developers building production-level creative AI applications.

This skill provides the comprehensive reference architecture and implementation patterns for integrating Runway's advanced AI capabilities. It focuses on guiding developers through the process of AI video generation, image-to-video conversion, and creative content creation using the dedicated Python SDK. Use this when building applications that require high-quality, generative visual media.

A powerful utility that converts Markdown (`.md`) files into richly formatted Word (`.docx`) documents. Built using pure JavaScript, it requires no external dependencies like Pandoc or LibreOffice. Features include automatic generation of title pages (from YAML front-matter), dynamic table of contents, and accurate embedding of PNG images, making it ideal for technical documentation and reports.

The RunAPI CLI serves as the dedicated execution layer for interacting with RunAPI's suite of advanced AI models. It allows developers to programmatically generate multimodal content, including images, videos, and music/audio, directly from the terminal or CI/CD pipeline. Users can submit one-off jobs, manage asynchronous tasks, and pass complex JSON request bodies to various services like Suno, Claude, and Gemini, making it essential for robust AI automation workflows.

This skill converts a single static image (PNG/JPG) into a short, animated MP4 video using the Ken-Burns zoom effect. It is specifically designed as a robust fallback mechanism for automated video workflows. If an upstream AI video generation step fails—often due to content moderation flags (e.g., facial recognition or audio safety issues)—this animator ensures a valid placeholder clip is generated. This allows downstream merging steps to complete the deliverable without interruption, maintaining the narrative flow.