Skill UI

This skill provides implementation patterns and an SDK pattern for utilizing the RunwayML API. It allows users to perform advanced video generation, image-to-video tasks, and creative AI workflows directly within their code. Use cases include generating cinematic content, editing media, and managing API credits for complex creative projects.

This guide provides detailed, step-by-step instructions for installing and authenticating the Runway ML SDK. It covers prerequisites for both Python and Node.js environments, including setting up API keys and verifying the connection. This setup is essential for developers who plan to perform high-fidelity AI video generation, image editing, or advanced creative content workflows using the Runway platform.

This skill provides a development loop for RunwayML, an advanced creative AI platform. It allows users to programmatically generate high-quality videos from images or text prompts using the Python SDK. Ideal for integrating Runway's capabilities into local development workflows, enabling advanced creative video production, editing, and media manipulation.

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 implementation patterns for interacting with RunwayML webhooks. It enables complex tasks such as AI video generation, image editing, and advanced creative content workflows. By using the provided Python SDK pattern, developers can trigger video creation tasks (e.g., image-to-video) and handle the asynchronous results, making it ideal for integrating high-end creative AI into applications.

Generates or edits single images using advanced AI models via OpenRouter. Accepts descriptive text prompts for text-to-image generation (e.g., concept art, product renders) or an input image for image-to-image editing. Supports various aspect ratios and resolutions, making it ideal for professional visual content creation workflows.

A comprehensive skill for generating new design screens from text prompts or images, and iteratively editing existing designs. It incorporates advanced prompt enhancement, design tokens, and professional UI/UX terminology to ensure professional, structured, and context-aware design output for web and mobile platforms.

This skill provides a comprehensive workflow for generating, editing, and manipulating images using Google's Gemini Nano Banana Pro model (gemini-3-pro-image-preview). It is designed for tasks such as creating visuals, generating logos, modifying photos, or creating product mockups, offering a robust, file-based approach to handle complex image data and API interactions.

Use this powerful skill to perform advanced, multi-modal video generation and editing using the official google-genai SDK. Capabilities include generating realistic videos from text prompts (Text-to-Video), animating scenes from a single input image (First-Frame-to-Video), and applying style or character references from images. It also supports complex video refinement, inpainting, and optimizing source footage for professional creative workflows.

A powerful skill for generating brand-new images or performing professional edits on existing photos using the OpenAI GPT Image API. Users can provide detailed prompts, specify desired aspect ratios (e.g., 1024x1536), select background types, and control output quality. Ideal for creative projects, logo design, concept art, and advanced photo manipulation.

This comprehensive guide details the workflow for using built-in AI tools to create original artwork, product visuals, and diagrams, and to intelligently edit existing images. It emphasizes crafting detailed art-direction prompts, managing image input paths, and maintaining consistency across multi-turn editing sessions.

Provides domain knowledge for compiling character/scene/prop creative settings into executable image generation prompts. Covers reference board layouts (character identity boards, sequence keyframes, environment study boards, prop study boards), composition and camera language, avoiding image moderation false positives, entity continuity, and cross-variant derivative design based on the main image. Not for video prompt compilation, pure material editing, or evaluating generated outputs.