Setup Video To Code Skill

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

1. 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."

1. Ensure storage folder exists:

``bash 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"

1. 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.

``bash /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 ``

1. Check and install ffmpeg:

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

1. 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 |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: PiotrLason
• Source: PiotrLason/video-to-code-skill
• License: MIT
• Homepage: https://github.com/PiotrLason/video-to-code-skill

Install and usage instructions live in the source repository linked above.