This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks. Should be invoked for tasks involving cloud compute, GPU workloads, or when users mention running jobs on Hugging Face infrastructure without local setup.
How to install hugging-face-jobs?
patchy631/ai-engineering-hub/hugging-face-jobs
$npx -y skills add patchy631/ai-engineering-hub --skill hugging-face-jobsInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/patchy631/ai-engineering-hub" --skill "patchy631/ai-engineering-hub/hugging-face-jobs"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/patchy631/ai-engineering-hub" that are relevant to the current task. Run `npx skills add "https://github.com/patchy631/ai-engineering-hub"` and select the relevant skills, then follow their instructions.
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