FreeSkills
Commits, branches and sync with the but CLI
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- Claude Code
- Codex
- Cursor
- and 3 more
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Use this resource to run ML jobs and model APIs on on-demand GPUs
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Free
In a terminal, from the folder you want:
npx --yes palatekit@latest install serverless-gpu-jobs-modal-2With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent writes a Modal application in Python, picks the GPU type, then runs a one-off job, a model API or a scheduled task. You get a deployment that scales without infrastructure to manage.
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Updated November 2, 2026
You say
“Deploy this inference API on an L4 GPU with autoscaling.”

Skill published by Orchestra Research under the MIT license, delivered in its original version.
Listed unmodified
« modal » (Orchestra Research, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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