Ships with claude-video-vision. Installing the plugin gets this command.
⚡ How it fires
How this command gets triggered: by you, by Claude, or both.
Fires itselfClaude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/setup-video-vision
👁️ Context preview
What this command does when you run it.
Interactive setup wizard for claude-video-vision — configure backend, whisper, frames, and verify dependencies
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📦 Ships with claude-video-vision
</> Command definition
setup-video-vision.md
---description: "Interactive setup wizard for claude-video-vision — configure backend, whisper, frames, and verify dependencies"
---# Setup Video Vision
Guide the user through configuring claude-video-vision step by step. Ask one question at a time using multiple choice. After each answer, proceed to the next step.
## Step 1: Backend Selection
Ask the user:
> Which backend do you want to use for audio analysis?
>
> **a) Gemini API** (recommended) — Best quality. Analyzes audio natively with Gemini Flash. Free tier: 1500 requests/day. Requires a GEMINI_API_KEY (free at ai.google.dev).
>
> **b) Local (Whisper)** — Free, fully offline. Uses whisper.cpp or openai-whisper for audio transcription. No cloud dependency.
>
> **c) OpenAI Whisper API** — Good quality. Requires OPENAI_API_KEY. Paid per usage.
>
> All backends use ffmpeg to extract video frames — Claude sees the frames directly.
After the user answers, call `video_configure` with the chosen `backend`.
## Step 2: Whisper Configuration (only if backend is "local")
If the user chose Local, ask these questions one at a time:
### Engine
> Which whisper engine?
>
> **a) whisper.cpp** (recommended) — Faster, less RAM, optimized for Mac/Linux
>
> **b) Python (openai-whisper)** — More flexible, easier to extend
