Setup video to code skill

Skill PiotrLason/video-to-code-skill/skills/setup-video-to-code-skill

Sets up the video-to-code storage folder and installs required Python dependencies (opencv, whisper, numpy). Run once before first use, or to verify the environment is ready.From its SKILL.md

Install

npx -y skills add PiotrLason/video-to-code-skill --skill setup-video-to-code-skill

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
runs commandsInstructs the agent to run 5 commands, including `mkdir -p ~/video-to-code-skill-storage` and 4 more.

What its file declares

Copied from the file, not written here

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

4.7 KB, ~1.1k tokens by cl100k_base, as published. Nobody here has run it

Initialize video-to-code environment

Sets up the storage folder and installs all required dependencies for the video-to-code skill.

Instructions

Display this banner as the very first output when the skill is invoked:

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   SKILL SETUP v1.3

Notify the user:
- Immediately tell them: "URL: https://github.com/PiotrLason/video-to-code-skill"
- Immediately tell them: "Help: run /video-to-code-skill -> show-help-video-to-code-skill to display the full plugin README.md with Markdown formatting."
- Tell them "Initializing video-to-code environment..."
- Immediately tell them: "Documentation: open ${CLAUDE_PLUGIN_ROOT}/README.md for setup, usage, parameters, outputs, and troubleshooting."
Ensure storage folder exists:
```
mkdir -p ~/video-to-code-skill-storage
```
- If the folder already existed, tell the user: "Storage folder already exists at ~/video-to-code-skill-storage"
- If it was just created, tell the user: "Created storage folder at ~/video-to-code-skill-storage"

Check and install dependencies:

Always use /usr/bin/python3 for checking and installing — this is the same interpreter the run skill uses.
Check cv2, numpy, and whisper separately. Only install missing packages.
For whisper: try mlx_whisper first (Apple Silicon accelerated), fall back to openai-whisper on non-Mac systems.

/usr/bin/python3 -c "import cv2" 2>/dev/null || /usr/bin/python3 -m pip install --user opencv-python
/usr/bin/python3 -c "import numpy" 2>/dev/null || /usr/bin/python3 -m pip install --user numpy
/usr/bin/python3 -c "import mlx_whisper" 2>/dev/null || /usr/bin/python3 -c "import whisper" 2>/dev/null || /usr/bin/python3 -m pip install --user mlx-whisper || /usr/bin/python3 -m pip install --user openai-whisper

Check and install ffmpeg:

which ffmpeg || brew install ffmpeg || echo "ffmpeg not found — install it manually (e.g. apt install ffmpeg on Linux)"

Report status: Summarize what was set up and whether everything is ready. Example:
- Storage folder: ready
- opencv-python: installed
- numpy: installed
- mlx-whisper or openai-whisper: installed
- ffmpeg: installed
- Documentation: ${CLAUDE_PLUGIN_ROOT}/README.md
- Help command: /video-to-code-skill -> show-help-video-to-code-skill
- "Environment is ready. Place a video file (.mov, .mp4, .webm) in ~/video-to-code-skill-storage and run /video-to-code-skill -> run-video-to-code-skill to analyze it."

Dependencies

Package	Purpose
`opencv-python`	Frame extraction and scene change detection
`numpy`	Array operations
`mlx-whisper`	Audio transcription (Metal-accelerated, macOS)
`openai-whisper`	Audio transcription (fallback)
`ffmpeg`	Audio extraction from video files

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.