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run-experiment

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Deploy and run ML experiments on local or remote GPU servers. Use when user says "run experiment", "deploy to server", "跑实验", or needs to launch training jobs.

skills/skills-codex/run-experiment/SKILL.md

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# Run Experiment

Deploy and run ML experiment: $ARGUMENTS

## Workflow

### Step 1: Detect Environment

Read the project's `AGENTS.md` to determine the experiment environment:

- **Local GPU**: Look for local CUDA/MPS setup info
- **Remote server**: Look for SSH alias, conda env, code directory
- **Vast.ai instance**: Look for `gpu: vast`, `vast_instance`, SSH host/port, remote path, and optional `auto_destroy`
- **Modal serverless**: Look for `gpu: modal`, app/function name, image/dependency setup, and secrets
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