Skill UI

This skill guide is essential for building advanced applications using Gemini and Gemma 4 hosted models. It covers working with multimodal content (text, images, audio, video), implementing complex features like function calling and structured output. It provides up-to-date SDK usage examples for Python, JavaScript, Go, and Java, ensuring developers use the latest, recommended API standards.

This guide provides a comprehensive reference for diagnosing and resolving common errors encountered when interacting with the Kling AI API. It covers various HTTP status codes (e.g., 400, 401, 429), task-level failures (e.g., content policy violations, low image quality), proper JWT token management, and implementing rate limit handling with exponential backoff. Use this resource when troubleshooting failed video generation or API integration issues.

This guide details the functionalities for interacting with Lark Instant Messaging (IM). It covers core concepts like message types, threads, reactions, and flags, and provides methods for managing chat history, creating/managing groups, and handling various message resources (images, files, videos). It is essential for applications needing robust chat communication capabilities.

Process videos, audio, images, and documents on Transloadit’s cloud using 86+ robots to encode formats, generate thumbnails, resize/watermark, run OCR, speech-to-text, moderation, and chain multi-step pipelines for scalable media automation.

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.

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.

A utility to render high-quality, static title or ending cards as PNG images. It supports centered headlines, optional subtitles, and configurable solid-color backgrounds. Crucially, it handles complex CJK fonts with glyph verification, ensuring robust and professional output without relying on LLMs or network connectivity. Ideal for generating consistent opening/closing visuals for short-form video content.

This command-line tool allows users to upload local files (screenshots, images, PDFs, videos, etc.) directly to GitHub's internal user-attachments endpoint. It outputs a special URL that GitHub automatically renders when pasted into PRs, issues, or comments, facilitating the easy sharing of media and screenshots within development workflows. It also supports downloading existing private attachments.

This is an internal, deterministic consent gate used in the meta-short-drama workflow. It normalizes user-provided draft review comments and post-revision confirmation replies. Its primary function is to enforce a secure, bounded decision process, requiring explicit approval at every stage before any external image or video generation is authorized, thus preventing ambiguous inputs from proceeding.