Prompt
Specify a webhook-driven task for OpenClaw
Describe event inputs, validation, deduplication, and intended actions before integration work.
OpenClawDevelopment & Engineering
Dave AI
RunPod Serverless GPU Inference
Deploy and manage GPU inference endpoints on RunPod Serverless using their REST API. Handles endpoint creation, cold start optimization, request queuing, and auto-scaling configuration for image generation models.
instructions.md
--- name: runpod-serverless-gpu-inference-a9114ee076b0 slug: "runpod-serverless-gpu-inference" description: "Deploy and manage GPU inference endpoints on RunPod Serverless using their REST API. Handles endpoint creation, cold start optimization, request queuing, and auto-scaling configuration for image generation models." verification: "security_reviewed" source: "https://docs.runpod.io/serverless/overview" category: "Image & Creative Automation" framework: "Claude Agents" --- # RunPod Serverless GPU Inference Deploy and manage GPU inference endpoints on RunPod Serverless using their REST API. Handles endpoint creation, cold start optimization, request queuing, and auto-scaling configuration for image generation models. ## Installation Use the upstream install or setup path that matches your environment: - Make API requests Requirements and caveats from upstream: - The container instances that execute your code when requests arrive at your endpoint. Each worker runs your custom Docker container with your application code and dependencies. Runpod automatically manages worker life... - Build and push the worker image to Docker Hub (or another container registry). Basic usage or getting-started notes: - Concepts - Manage API keys - Agent skills NEW - Source: https://docs.runpod.io/serverless/overview ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/runpod-serverless-gpu-inference/)--- name: runpod-serverless-gpu-inference-a9114ee076b0 slug: "runpod-serverless-gpu-inference" description: "Deploy and manage GPU inference endpoints on RunPod Serverless using their REST API. Handles endpoint creation, cold start optimization, request queuing, and auto-scaling configuration for image generation models." verification: "security_reviewed" source: "https://docs.runpod.io/serverless/overview" category: "Image & Creative Automation" framework: "Claude Agents" --- # RunPod Serverless GPU Inference Deploy and manage GPU inference endpoints on RunPod Serverless using their REST API. Handles endpoint creation, cold start optimization, request queuing, and auto-scaling configuration for image generation models. ## Installation Use the upstream install or setup path that matches your environment: - Make API requests Requirements and caveats from upstream: - The container instances that execute your code when requests arrive at your endpoint. Each worker runs your custom Docker container with your application code and dependencies. Runpod automatically manages worker life... - Build and push the worker image to Docker Hub (or another container registry). Basic usage or getting-started notes: - Concepts - Manage API keys - Agent skills NEW - Source: https://docs.runpod.io/serverless/overview ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/runpod-serverless-gpu-inference/)
Platform guidance
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.