create-vo-anchored-beat-video

Name: create-vo-anchored-beat-video
Availability: InStock
Author: Gooseworks

Create voiceover-driven explainer videos with visuals anchored to word boundaries.

6|1|Updated May 29, 2026

Search Tags:#video production #voiceover #explainer video #video synchronization #AI video creation

Ready to run

npx skills add https://github.com/gooseworks-ai/gooseworks-ads-skills --skill create-vo-anchored-beat-video

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: create-vo-anchored-beat-video
Source: https://github.com/gooseworks-ai/gooseworks-ads-skills/tree/main/skills/molecules/explainer-video/create-vo-anchored-beat-video
Command: npx skills add https://github.com/gooseworks-ai/gooseworks-ads-skills --skill create-vo-anchored-beat-video

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires playwright, ffmpeg, yt-dlp, whisper, elevenlabs, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the challenge of creating explainer videos where visuals are precisely synchronized with voiceover, ensuring clear communication and engagement.

Core Features & Use Cases

Word-boundary Synchronization: Ensures every visual moment in the video aligns with a word boundary in the voiceover.
Customizable Templates: Supports various explainer video formats and styles.
Automated Workflow: Orchestrates a multi-phase process, including voiceover rendering, beat decomposition, and video assembly.

Quick Start

Run the skill with the script file 'script.md' to create a video.

Frequently Asked Questions about create-vo-anchored-beat-video

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I synchronize explainer video visuals to a voiceover automatically?▼

You can synchronize explainer video visuals to a voiceover by using automated beat decomposition to anchor visual transitions to word boundaries. This ensures every visual moment aligns precisely with the spoken script.

What is word-boundary synchronization in AI video creation?▼

Word-boundary synchronization in AI video creation is the process of aligning visual changes with specific spoken words. It uses beat decomposition to map voiceover timing to visual frames for precise explainer video assembly.

What do I need to render voiceover and assemble video with this automated workflow?▼

To render voiceover and assemble video, you need a script file and the required dependencies: playwright, ffmpeg, yt-dlp, whisper, and elevenlabs. These tools handle voiceover rendering, beat decomposition, and final video assembly.

Can I use different script types and visual styles for explainer video production?▼

Yes, you can use various script types and visual styles for explainer video production. The workflow supports customizable templates, allowing you to adapt the automated video synchronization process to different explainer formats.

How does automated beat decomposition work for voiceover-driven videos?▼

Automated beat decomposition works by analyzing the voiceover audio to detect word boundaries, then using those timestamps to trigger visual changes. This orchestrates a multi-phase process for precise video synchronization.

Does this workflow require manual video editing after assembly?▼

No, this workflow orchestrates a multi-phase automated process including voiceover rendering, beat decomposition, and video assembly. It produces a finished VO-driven explainer video where visuals are anchored to word boundaries without manual editing.