aipauloshimas

Multicam — Development skill for Claude Code

Development community

Turn one talking-head take into a virtual multi-camera edit for Google Omni — a Claude Code skill.

How to install Multicam

This entry records only its repository, not the path inside it, so there is no exact command to give. Open aipauloshimas/multicam and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Multicam does

Turn one talking-head take into a virtual multi-camera edit for Google Omni — a Claude Code skill. By The Creator Stack.

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README

Multicam

Turn ONE talking-head take into a **virtual multi-camera edit** prompt for **Google Omni**.

You film a single clip on a single camera. The skill finds the beats of your speech, fills a battle-tested prompt template with four cut timestamps, and Google Omni re-frames your real footage from new camera angles with instant hard cuts — same face, same room, same voice, same lip sync. No second camera, no editing timeline.

How it works

Drop your talking-head video in a folder and ask for the multicam prompt.
The skill runs a preflight check (scripts/check_env.py) and, if anything is missing, explains what it is for and asks permission to install it — so it's plug-and-play.
It transcribes your video word-level (Whisper, runs locally) to find exactly where each phrase starts and where you breathe.
It suggests 4 cut points on those beats (cuts land on phrase starts, inside breaths, never mid-word) and shows you why.
You confirm or adjust the timestamps and the camera angles (left profile, extreme high angle, close-up, and back to the original framing — with presets to swap any of them).
It fills the frozen template and saves a ready-to-paste prompt. Upload your clip into Google Omni, select it as the source footage, paste, generate.

Setup (free and local, no API keys)

The skill checks this for you: `scripts/check_env.py` reports what's missing, what each piece is for, and the install command for your OS — then asks before installing anything. To set it up manually:

Install Python 3.8+.
Install ffmpeg (includes ffprobe):
- macOS: brew install ffmpeg
- Windows: winget install Gyan.FFmpeg (or choco install ffmpeg)
- Linux: sudo apt install ffmpeg
Install the Python dependency: pip install -r requirements.txt

The first transcription downloads a Whisper model (~460MB for the default `small`) once. Everything else is local: no API key, no account, no paid service. Whisper is multilingual, so it w