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music-to-video

Transform audio tracks into beat-synced HyperFrames videos with automated analysis and frame composition.

255|42|Updated Nov 16, 2023
Search Tags:#video-generation#audio-analysis#kinetic-typography#beat-sync#hyperframes#music-to-video
One-click install
npx skills add https://github.com/chmonitor/chmonitor --skill music-to-video
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: music-to-video
Source: https://github.com/chmonitor/chmonitor/tree/main/.agents/skills/music-to-video
Command: npx skills add https://github.com/chmonitor/chmonitor --skill music-to-video

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires librosa, numpy, soundfile, ffmpeg, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Creating beat-synced videos from music traditionally requires expensive software, manual timing, and advanced editing skills. This Skill automates the entire pipeline—analyzing the track, laying out frames, and assembling a polished video—so anyone can produce professional kinetic typography and visualizations without manual editing.

Core Features & Use Cases

  • Beat-Accurate Analysis: Uses a deterministic analyzer to extract tempo, onsets, rolls, energy phases, and key moments from any audio file.
  • Automated Storyboarding: Cuts the track into frames, assigns pacing (beat-cut or phrase-flow), and generates a complete STORYBOARD.md plan.
  • Template-Driven Composition: Builds each frame using a catalog of motion templates and primitives (kinetic typography, card cascades, flipbooks, etc.) dispatched to parallel sub-agents.
  • Asset Integration: Weaves user-supplied images and videos onto the beat grid with beat-cut or Ken Burns treatments.
  • Final Render: Assembles frames into a standalone index.html and renders a production-ready MP4 with audio.

Quick Start

Use the music-to-video skill to turn your music track into a beat-synced HyperFrames video and render the final MP4.

Frequently Asked Questions about music-to-video

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

FAQPage Schema
How do I automatically generate a beat-synced video from an audio track?▼

To generate a beat-synced video from an audio track, this Skill uses librosa to analyze tempo and onsets, then automatically composes frames and renders a final MP4 with audio without manual editing.

Can I create kinetic typography and lyric videos without manual timing?▼

Yes, you can create kinetic typography and lyric videos without manual timing by using automated audio analysis to extract key moments, which then drives template-driven frame composition locked to the musical structure.

Do I need Python and Node.js to render music visualizations?▼

Yes, you need Python with librosa for audio analysis and Node.js for orchestration to render music visualizations, along with GSAP-based templates for deterministic frame rendering.

How do I integrate my own images into a music visualization?▼

To integrate your own images into a music visualization, the Skill weaves user-supplied images onto the beat grid, applying beat-cut or Ken Burns treatments to align visuals with the track's energy phases.

What is the best way to automate storyboarding for a promotional music video?▼

The best way to automate storyboarding for a promotional music video is to use a deterministic analyzer to cut the track into frames, assign pacing, and generate a complete STORYBOARD.md plan automatically.

How does automated audio analysis handle tempo and energy phases for video generation?▼

Automated audio analysis handles tempo and energy phases for video generation by using librosa to extract onsets, rolls, and key moments, ensuring visuals lock accurately to the musical structure.

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