Skill UI

This skill facilitates professional multilingual dubbing for local audio and video assets. Users can submit source media for translation and dubbing into various target languages and locales. It manages the entire workflow—from job submission and status polling to final artifact download—while enforcing critical checks for source rights, speaker consent, and appropriate regional accents.

Generates a highly structured, machine-parseable shooting script for short videos based on a specified topic, style, and duration. It outputs a detailed shot list including image prompts, video prompts, voiceovers, and on-screen text, making it ideal for automated AI video generation workflows.

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 automates the entire process of creating a professional, high-quality AI short drama video from a simple topic or prompt. It intelligently drafts a shot-by-shot shooting script, maintains character and scene consistency across all shots, generates comprehensive visual assets (identity reference, per-shot compositions), and compiles the final MP4 with burned subtitles and title cards. Suitable for content creators, marketers, and storytellers needing rapid, consistent visual narratives.

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. This tool accepts structured English prompts, an optional first-frame image, and an optional identity/style reference image for continuity. It supports dual backends (OpenRouter, Volcengine, BytePlus) to maximize accessibility and reliability for cinematic shot generation.

This tool parses a structured, multi-shot video script (following the ai-video-script format) and automatically generates a time-coded SRT subtitle file. It calculates cumulative timestamps based on the duration of each shot, ensuring accurate subtitle cues that sync with the voiceover content across the entire sequence. Ideal for the post-production stage of short-form video creation.

This utility burns an SRT subtitle track directly into an MP4 video file using ffmpeg's libass filter. It re-encodes the video (H.264) while copying the audio untouched. It supports defining custom font fallback chains (e.g., CJK fonts) and provides detailed control over font size, margins, and video encoding parameters (CRF, preset) for professional subtitling workflows.

A utility to generate a static, centered title or end card PNG image. It accepts a main headline, an optional subtitle, background color, and dimensions. It utilizes Pillow, ensuring deterministic rendering suitable for video intros and outros. Supports CJK character wrapping and provides robust font fallbacks, making it reliable for media production pipelines.

This tool concatenates multiple numbered MP4 segments (e.g., 1_*.mp4, 2_*.mp4) into a single cohesive video file. It provides advanced features like optional fade transitions and automatic normalization of resolution, frame rate, and codecs. Use it when a workflow generates several short clips that need to be seamlessly stitched together into a final, polished reel.

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.

A comprehensive voiceover studio that transforms written text into high-quality, professional spoken audio. It supports generating content for podcasts, IVR prompts, educational videos, and product demos. The system handles complex requirements including target locale, specific accents (e.g., British, Mandarin), desired emotion, and pacing, ensuring the resulting audio artifact is natural and contextually accurate. Ideal for content creators and developers needing reliable, multi-lingual narration.