SKILL.md
Run Experiment
Deploy and run ML experiment: $ARGUMENTS
Workflow
Step 1: Detect Environment
Read the project's CLAUDE.md to determine the experiment environment:
- Local GPU (
gpu: local): Look for local CUDA/MPS setup info - Remote server (
gpu: remote): Look for SSH alias, conda env, code directory - Vast.ai (
gpu: vast): Check forvast-instances.jsonat project root — if a running instance exists, use it. Also checkCLAUDE.mdfor a## Vast.aisection. - Modal (
gpu: modal): Serverless GPU via Modal. No SSH, no Docker, auto scale-to-zero. Delegate to/serverless-modal.
Modal detection: If CLAUDE.md has gpu: modal or a ## Modal section, the entire deployment is handled by /serverless-modal. Jump to Step 4: Deploy (Modal) — Steps 2-3 are not needed (Modal handles code sync and GPU allocation automatically).