Browse published AI skills maintained by gpu-cli. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
6Repository stars across indexed skills
12Repository forks
0Average repository stars per indexed skill
2Repository stars may repeat across skills from the same repository.
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.
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.
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.
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...
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.
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...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.