Skill UI

A comprehensive tool for extracting YouTube transcripts, searching videos, browsing channels, and monitoring new uploads. It supports detailed transcript analysis, content summarization, and playlist management by leveraging the TranscriptAPI. Ideal for researchers, content strategists, and market analysts who need structured data from video content without downloading files.

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 automatically processes MP4 videos by extracting key frames at configurable intervals. It then applies Tesseract OCR to recognize text on these frames, generating a comprehensive, structured Markdown report. The report includes full video metadata and timestamped, searchable transcripts, making it ideal for analyzing lectures, presentations, or screencasts programmatically.

A comprehensive studio workflow for generating professional, multilingual dubbing for local audio and video assets. This skill manages the entire process, including media submission, complex localization parameters (target locale, accent, language), real-time status polling, and final artifact download. It handles critical considerations like copyright checks, speaker consent, and preview generation to ensure high-quality, contextually appropriate dubbing across diverse languages.

This skill generates highly structured, multi-shot shooting scripts from a given topic and style. It outputs a machine-parseable shot list, including detailed image prompts, video prompts, voiceovers, and on-screen text for each segment. Ideal for planning and creating AI-generated short dramas, product ads, or educational videos.

This meta-skill transforms raw ideas, research notes, or documents into structured, multi-platform content drafts. It orchestrates a complete content pipeline, generating optimized drafts for blogs, social media (Xiaohongshu, Zhihu), newsletters, video scripts, and slides, ensuring content consistency across various marketing channels.

This meta-skill manages the end-to-end generation of AI-powered short dramas from a given topic. It first drafts a detailed, shot-by-shot shooting script, pausing for user review and adjustments. After confirmation, it generates consistent visual assets (universal character identity and scene compositions) and renders the final video clips. The output includes the fully rendered MP4, subtitles, title cards, and the complete script file.

This comprehensive skill provides expert guidance for integrating with Google NotebookLM programmatically, covering both the `nlm` Command Line Interface (CLI) and Measurement/Control Plane (MCP) tools. Use it to automate workflows, manage notebooks, add diverse sources (URLs, YouTube, Drive), and generate various complex content types, such as reports, quizzes, mind maps, and videos. Essential for developers building upon NotebookLM's advanced research capabilities.

Generates high-quality, short video clips (3-15s) using the Seedance 2.0 model. It accepts structured English prompts, an optional starting frame image, and style/identity reference images to ensure character and visual continuity. Supports multiple cloud backends (OpenRouter, Volcengine, BytePlus), making it ideal for storyboarding, cinematic concept visualization, or short film pre-production.

This utility parses structured short-drama scripts (AI-video-script format) and generates a time-coded SRT subtitle file. It reads cumulative shot durations and voiceover texts to create highly accurate, timestamped subtitle cues. It operates purely on text processing, making it ideal for automated video production pipelines, especially between script merging and final subtitle burning.

This utility uses ffmpeg's libass filter to permanently burn an SRT subtitle file into an MP4 video stream. It handles video re-encoding (H.264) while copying the audio track directly, ensuring high quality. Supports customization of font name, size, margin, and video encoding parameters (CRF, preset), making it essential for the final subtitling step in video content pipelines.

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.