Automates the entire ML experiment deployment flow across local GPUs, SSH servers, Vast.ai instances, and Modal serverless. It reads your CLAUDE.md to figure out where to run, checks GPU availability, syncs code via rsync or git, spins up screen sessions with the right CUDA device bindings, and optionally integrates W&B logging if you want it. The Vast.ai path is smart about reusing running instances or provisioning new ones with cost analysis, and Modal gets full delegation to a separate skill since it needs no SSH or Docker wrangling. If you're tired of manually sshing into boxes, finding free GPUs, and copying launch commands into screen sessions, this compresses that whole routine into one natural language request. The auto-destroy feature for Vast.ai instances after job completion is a nice touch for cost control.
npx -y skills add wanshuiyin/auto-claude-code-research-in-sleep --skill run-experiment --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills