tao-run-platformTAO Execution SDK for submitting and monitoring GPU training jobs on supported platforms (Brev, SLURM, local Docker, Kubernetes). Use when the user wants to run TAO jobs through the SDK, get job tracking, S3 I/O wrapping, multi-node distributed training, or platform-specific features that docker-run can't provide. Trigger phrases include "use the TAO SDK", "call tao_sdk", "AutoMLRunner", "ActionWorkflow", "Job handles", "S3 I/O wrapping", "TAO platform run".
Install via ClawdBot CLI:
clawdbot install nvidia/tao-run-platformLoading skill content… the page will refresh in a moment.
Usage Guide
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Control remote Windows machines via SSH. Use when executing commands on Windows, checking GPU status (nvidia-smi), running scripts, or managing remote Windows systems. Triggers on "run on Windows", "execute on remote", "check GPU", "nvidia-smi", "远程执行", "Windows 命令".
Perform reverse lookup of gTLD domains hosted on a specified nameserver with optional filters by TLD and domain prefix length.
Configure OpenClaw installations with optimized settings, channel setup, security hardening, and production recommendations.
Connect to remote desktops via RDP, VNC, and SSH X11 with secure tunneling and troubleshooting.
Essential curl commands for HTTP requests, API testing, and file transfers.
Deploy and manage Vercel projects. Use when deploying applications to Vercel, managing environment variables, checking deployment status, viewing logs, or performing Vercel operations. Supports production and preview deployments. Practical infrastructure operations - no "AI will build your app" magic.