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Run ML Experiments

Deploys and launches ML training jobs on local, SSH, Vast.ai, or Modal GPUs

Source Download skill
Repository
wanshuiyin/Auto-claude-code-research-in-sleep
Stars
18,482
Licence
MIT
Files
1 file

What it does

When you ask your agent to run a machine learning experiment, this skill tells it how to follow a fixed routine: read your project's CLAUDE.md settings to find where the GPU is, check that the GPU is free, copy over only the code files, optionally add Weights & Biases logging, and start the training job in a named screen session with its output saved to a log file. It can also hand off to rented cloud GPUs (Vast.ai) or Modal's serverless GPUs.

Great for

  • ML researchers who train models on a remote GPU server over SSH and want the agent to handle the launch steps
  • People renting temporary cloud GPUs on Vast.ai or Modal who want setup and launch automated
  • Teams who keep experiment settings in a CLAUDE.md file and want consistent launches

Skip it if

  • Users without access to a GPU machine or cloud GPU account, since the skill only automates launching jobs that run elsewhere; it does not provide compute
  • Anyone who wants to run the agent against production servers or shared machines without reviewing commands first, because it runs shell commands, rsync, and installs packages with broad permissions (Bash(*))
  • Non-ML tasks, since it is specific to training and experiment deployment

Try asking

  • “run experiment: train my ResNet baseline on the remote server using GPU 1”
  • “deploy to server and launch the ablation with learning rate 3e-4”
  • “Launch the training job on my Vast.ai instance and log it to Weights & Biases”
  • “Run this experiment on Modal serverless GPU”
Step-by-step guide: how to use Run ML ExperimentsInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    run-experiment.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip run-experiment.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip run-experiment.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Keep your CLAUDE.md environment settings accurate before running, since the skill relies on them to choose the target machine and environment.
  • Review the commands the agent proposes, especially rsync and pip install steps, before approving them, since the skill allows broad shell access.
  • Never paste API keys into chat; store W&B and cloud credentials in the environment or CLI config as the skill's login steps expect.

What's inside

  • SKILL.md

Redistributed unmodified from wanshuiyin/Auto-claude-code-research-in-sleep under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.