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gpu-cli

gpu-cli

6 Skills published on GitHub.

gpu-debugger

Debug failed GPU CLI runs. Analyze error messages, diagnose OOM errors, fix sync issues, troubleshoot connectivity, and resolve common problems. Turn cryptic errors into actionable fixes.

cudagpu-accelerationterminalerror-handlingmemory-management
maintenanceView skill →

gpu-inference-server

Set up AI inference servers on cloud GPUs. Create private LLM APIs (vLLM, TGI), image generation endpoints, embedding services, and more. All with OpenAI-compatible interfaces that work with existing tools.

gpu-accelerationcloud-infrastructureapiimage-generationembeddings
deployView skill →

gpu-media-processor

Process audio, video, and media on cloud GPUs. Transcribe with Whisper, clone voices, generate videos, upscale images, and run batch media processing. All results sync back to your Mac.

gpu-accelerationmedia-conversionbatch-processingtranscriptionvoice-cloning
workflowView skill →

gpu-workflow-creator

Transform natural language requests into complete GPU CLI workflows. The ultimate skill for Mac users who want to run NVIDIA GPU workloads without configuration complexity. Describe what you want, get a working project.

cudagpu-accelerationcommand-linemacosautomation
project-setupView skill →

gpu-cost-optimizer

Analyze GPU workloads and recommend optimal configurations. Get cost estimates, compare GPU options, avoid over-provisioning, and find the cheapest GPU that meets your requirements.

gpucloud-costresource-managementcost-estimationgpu-instances
cost-optimizationView skill →

gpu-ml-trainer

Specialized skill for ML training workflows on cloud GPUs. Fine-tune LLMs with LoRA/QLoRA, train image LoRAs, build classifiers, and run custom training jobs. Generates production-ready training pipelines with checkpointing, logging, and optimal GPU selection.

ml-pipelinesmachine-learninggpu-accelerationdeep-learningproduction-readiness
workflowView skill →