Skill UI

This skill provides implementation patterns for using the Runway SDK. It enables users to perform advanced creative AI tasks, such as generating videos from text prompts or converting images to video, using the official Python SDK. It covers the full workflow, including setup, task execution, output retrieval, and error handling, making it ideal for creative media automation and advanced video production workflows.

This skill provides implementation patterns for utilizing Runway's AI video generation and creative platform. It covers setting up the SDK, generating videos from images, and handling common API errors (like insufficient credits or unauthorized access). It is designed for developers needing to integrate secure, high-quality AI video workflows into their applications.

This skill provides comprehensive integration patterns for the RunwayML platform, specializing in advanced AI video and image generation. Developers can programmatically create high-quality video content from text prompts or images, supporting sophisticated creative workflows. It is essential for building applications that require programmatic access to industry-leading creative AI capabilities.

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.

This guide provides a comprehensive tutorial on running various AI inference tasks using the Together AI API, which is compatible with the OpenAI standard. It demonstrates key functionalities including chat completions, streaming responses, image generation, and creating embeddings. This is ideal for developers who need to test open-source models, compare performance across different LLMs (like Llama or Mixtral), or integrate powerful generative AI features into their applications using Python or Node.js.

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.

Generate production-ready images for SEO: OG/social previews, blog heroes, schema images, product photos, infographics, and more. Uses Gemini via nanobanana-mcp, with aspect ratios, resolutions, and domain modes optimized for each use case. Includes post-generation SEO checklist for alt text, file naming, WebP conversion, schema markup, and OG meta tags.

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.

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.

This skill converts a single still image (PNG/JPG) into a short, animated MP4 video using a slow Ken-Burns zoom effect and a silent audio track. It is designed specifically as an 'on_failure' fallback mechanism for AI video generation steps that might fail due to content moderation or other upstream issues, ensuring a complete deliverable can still be produced for downstream merging.

A comprehensive skill that automates the entire process of creating professional, production-ready thumbnails for articles or newsletters. It reads the article copy, proposes multiple composition concepts (e.g., bold claim, conceptual object), writes tailored prompts, calls the Gemini API for image generation, and evaluates the results using computer vision, returning ranked candidates with rationale.

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.