FreeSkills
Commits, branches and sync with the but CLI
- 361361 downloads
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- Claude Code
- Codex
- Cursor
- and 3 more
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Use this resource to run ML workloads on serverless GPUs with Modal
New
Free
In a terminal, from the folder you want:
npx --yes palatekit@latest install modal-serverless-gpu-jobsWith 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 Modal functions, configures the GPU (from T4 to B200) and execution mode, then deploys inference as an API or a batch job. You get Python code ready to run, billed per second of compute.
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Updated November 2, 2026
You say
“Deploy an inference API on an A10G GPU with Modal for my classification model.”

Skill published by davila7 under the MIT license, delivered in its original version.
Listed unmodified
« infrastructure-modal » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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