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zzorp / tesla-lightshow-skill

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This is a Claude Code SKILL.md that can be used to build Tesla Light shows by analyzing the sound file.

14
0
100% credibility
Found May 10, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A tool to generate custom light show files for Tesla cars that sync lights and movements to music from any WAV audio file, tailored to specific models.

How It Works

1
🚗 Discover Tesla light show magic

You hear about a fun tool that turns your favorite songs into dazzling light dances for your Tesla.

2
🎵 Pick your song

Choose any music track and get it ready as a simple audio file your car loves.

3
🔧 Tell it your Tesla model

Select your car like Model 3, Model Y, or Cybertruck so it fits perfectly.

4
🔍 Listen and learn the music

The tool studies your song's beats, energy, and rhythm to plan an exciting show.

5
🎨 Create the custom dance

It builds a light show with builds, climaxes, and moves that sync to every moment.

6
💾 Save and copy to USB

Grab the show file paired with your song and put them on a USB stick.

🕺 Watch your Tesla groove

Plug in the USB, pick the light show in your car, and enjoy the synchronized spectacle!

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AI-Generated Review

What is tesla-lightshow-skill?

This Python CLI analyzes WAV audio files to build custom Tesla light shows as validator-ready .fseq files paired with the track—drop them on a USB for Toybox playback. Pick your model (3/Y/S/X/Cybertruck, including Highland RGB interiors), and it generates synced choreography with narrative arcs, beats, drops, and physical moves like liftgates or mirrors. As a free Claude Code skill, clone to ~/.claude/skills/, then chat "build a light show for my Model Y from this WAV" for instant claude code cli/desktop results.

Why is it gaining traction?

It ditches simplistic beat-flashers for music-aware shows: peaks climax on the song's loudest moment, uses stereo panning to light the correct car side, and adds model-specific tricks like Cybertruck light bars or falcon dances. Optional librosa/madmom boost analysis for ballads or live tracks where basic trackers fail. Claude Code integration hooks claude github skills users, turning AI chats into USB-ready files without manual xLights tweaking.

Who should use this?

Tesla owners scripting custom shows for parties or drives, especially Model 3/Y/Cybertruck folks chasing pro choreography. Audio tinkerers analyzing tracks via Python CLI for beat/drop detection. Claude Code free/preis users building claude code skills or github integrations for automated lightshow pipelines.

Verdict

Worth a spin for Tesla hackers—solid README, MIT license, and dead-simple CLI despite 14 stars and 1.0% credibility signaling early maturity. Install numpy (librosa optional) and test on a short WAV; skip if you need battle-tested scale.

(198 words)

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