mcore-run-on-slurmHow to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, container conventions, monitoring, and per-rank failure diagnosis.
Install via ClawdBot CLI:
clawdbot install nvidia/mcore-run-on-slurmLoading skill content… the page will refresh in a moment.
Grade Poor — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Usage Guide
Loading usage data… refresh in a few seconds.
Scored Jun 5, 2026
Parse, search, and analyze application logs across formats. Use when debugging from log files, setting up structured logging, analyzing error patterns, correlating events across services, parsing stack traces, or monitoring log output in real time.
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.
Essential curl commands for HTTP requests, API testing, and file transfers.
Connect to remote desktops via RDP, VNC, and SSH X11 with secure tunneling and troubleshooting.