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runpod-serverless

Scaffold RunPod Serverless projects with handler.py, Dockerfile, and hub.json.

Updated Jan 4, 2026
Search Tags:#automation#deployment#serverless#docker#gpu#runpod#hub
One-click install
npx skills add https://github.com/profzeller/claude-skills --skill runpod-serverless
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: runpod-serverless
Source: https://github.com/profzeller/claude-skills/tree/main/runpod-serverless
Command: npx skills add https://github.com/profzeller/claude-skills --skill runpod-serverless

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the creation and deployment of RunPod Serverless GPU workers. It guides you through building the required repository structure, configuring hub.json and tests.json, and publishing a release to RunPod Hub, reducing manual setup and configuration errors.

Core Features & Use Cases

  • Scaffold serverless projects: Generate the standard RunPod Serverless directory layout with handler.py, Dockerfile, hub.json, tests.json, and README.
  • Hub-ready deployments: Prepare GitHub repos and releases so your worker can be deployed to RunPod Hub with minimal effort.
  • Repeatable, safe deployments: Ensure consistent, reproducible serverless workers across projects and teams.
  • Use case: A data science team wants a GPU-backed serverless endpoint for batched model inferences without managing servers.

Quick Start

Provide the worker name, GitHub username, worker description, category, base image, GPU requirements, VRAM, and Python dependencies, then ask Claude to scaffold and publish the repository for RunPod Serverless.