Cloud GPU processing via RunPod serverless. Use when setting up RunPod endpoints, deploying Docker images, managing GPU resources, troubleshooting endpoint issues, or understanding costs. Covers all 5 toolkit images (qwen-edit, realesrgan, propainter, sadtalker, qwen3-tts).
Quickly install runpod AI skill to your development environment via command line
Source: digitalsamba/claude-code-video-toolkit.
Run open-source AI models on cloud GPUs via RunPod serverless. Pay-per-second, no minimums.
All images are public on GHCR — no authentication needed.
| Tool | Docker Image | GPU | VRAM | Typical Cost |
Cloud GPU processing via RunPod serverless. Use when setting up RunPod endpoints, deploying Docker images, managing GPU resources, troubleshooting endpoint issues, or understanding costs. Covers all 5 toolkit images (qwen-edit, realesrgan, propainter, sadtalker, qwen3-tts). Source: digitalsamba/claude-code-video-toolkit.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/digitalsamba/claude-code-video-toolkit --skill runpodBrowse more skills from digitalsamba/claude-code-video-toolkit
Cloud GPU processing via RunPod serverless. Use when setting up RunPod endpoints, deploying Docker images, managing GPU resources, troubleshooting endpoint issues, or understanding costs. Covers all 5 toolkit images (qwen-edit, realesrgan, propainter, sadtalker, qwen3-tts). Source: digitalsamba/claude-code-video-toolkit.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/digitalsamba/claude-code-video-toolkit --skill runpod Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/digitalsamba/claude-code-video-toolkit