Setup video to code skill

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

Inputs the content of any video into Claude Code prompt / context window as a multimodal bundle of voice transcription and data summary, time synced with keyframes - screenshots of key moments from the video so it can be used for all further requests related to that content.

Install

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

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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.

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, 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