RunPod Cloud GPU

RunPod Cloud GPU is a DevOps skill for Claude Code, published by digitalsamba in claude-code-video-toolkit.

2K stars327 forkson digitalsamba/claude-code-video-toolkitAdded 2026/08/18+1% in starsRepository updated 2026/08/13

ai-video-generatorclaude-codedeveloper-toolselevenlabsopen-sourceopenclawplaywrightprogrammatic-videoqwen-ttsremotiontext-to-speechvideo-editingvideo-production

Install in seconds

Install RunPod Cloud GPU

Copy RunPod Cloud GPU into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/digitalsamba/claude-code-video-toolkit/tree/main/.claude/skills/runpod ~/.claude/skills/runpod

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/digitalsamba/claude-code-video-toolkit.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: .claude/skills/runpod/SKILL.md in digitalsamba/claude-code-video-toolkit
Installs to: ~/.claude/skills/runpod
Collection: One of 13 skills cataloged from this repository
Category: DevOps — 798 skills

What RunPod Cloud GPU does

RunPod Cloud GPU deploys and manages RunPod serverless endpoints for open-source AI models on cloud GPUs, covering Docker images, GPU resource configuration, and cost tracking. Use when setting up endpoints, troubleshooting, or querying the RunPod API.

RunPod Cloud GPU is cataloged under DevOps on DirSkills. RunPod Cloud GPU comes from a repository tagged ai-video-generator, claude-code, developer-tools, elevenlabs and open-source.

Documentation

README

Excerpt

RunPod Cloud GPU

Run open-source AI models on cloud GPUs via RunPod serverless. Pay-per-second, no minimums.

Setup

# 1. Create account at https://runpod.io
# 2. Add API key to .env
echo "RUNPOD_API_KEY=your_key_here" >> .env

# 3. Deploy any tool with --setup
python tools/image_edit.py --setup
python tools/upscale.py --setup
python tools/dewatermark.py --setup
python tools/sadtalker.py --setup
python tools/qwen3_tts.py --setup

Each --setup command:

Creates a RunPod template from the Docker image
Creates a serverless endpoint with appropriate GPU
Saves the endpoint ID to .env (e.g. RUNPOD_QWEN_EDIT_ENDPOINT_ID)

Available Images

All images are public on GHCR — no authentication needed.

This is the opening of the README. Read the full README on GitHub.

Commands RunPod Cloud GPU provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/run
/requests

Frequently asked about RunPod Cloud GPU

What else does digitalsamba publish alongside RunPod Cloud GPU?
RunPod Cloud GPU is one of 13 skills that DirSkills catalogs from digitalsamba/claude-code-video-toolkit, the repository it ships in. Its siblings there include ACE-Step Music Generation, ElevenLabs Audio and FFmpeg. Each one is a separate skill with its own page in this directory, installs the same way RunPod Cloud GPU does, and is maintained by digitalsamba in that same repository. The rest of the collection is listed on the digitalsamba/claude-code-video-toolkit page.
How does RunPod Cloud GPU compare to other DevOps skills?
RunPod Cloud GPU ranks #275 by stars among the 798 DevOps skills in this catalog. The most-starred ones next to it are Backend Patterns, API Connector Builder and Migration. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of RunPod Cloud GPU against them. Open each page to compare what they document and how they install.