Create GPU config files to support existing MaxText model definitions on AMD GPU clusters. Use when the user wants to add a model, create a config, support a new model, or asks about model configs, parallelism, batch size, OOM, quantization, or .gpu.yml files.
AMD-AGI/maxtext-slurm
SkillsMP has collected 11 skills from AMD-AGI/maxtext-slurm. Open a skill to review its source and details.
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Skills in this repository
Showing 11 of 11 collected skills.
Comprehensive pre-commit verification checklist with five independent responsibilities. (1) Launcher path coverage - verify a change to any launcher-chain file preserves correct behavior across all 16 combinations of entry point × launch mode × stack (Steps…
Direct per-kernel time analysis from JAX / TensorFlow xplane traces via `utils/profile_drill.py`. Use when the user asks for a per-kernel breakdown, step-time composition, cross-variant kernel comparison, main-stream-blocking analysis, or any question that…
Four sweep operations: (1) Model perf sweep — find optimal batch size / TGS for a model. Use for: sweep batch size, tune TGS, benchmark throughput, find optimal config. (2) Node perf sweep — compare per-node GPU performance to find outliers. Use for: check…
Find the XLA flag / NCCL env-var combination that maximizes steady-state TGS for one (model × parallelism) cell. Produces an evidence-backed leaderboard, mechanistic explanation of the winning flag, and a deployment recipe. Use when the user asks to tune XLA…
Triage MaxText training jobs from log files — failed, hanging, running, or completed. Use when the user asks why a job failed, wants to diagnose an error, sees a crash, hang, timeout, OOM, NCCL error, heartbeat timeout, wants to understand a job's status, or…
Diagnose training job incidents and check cluster health using the per-job Prometheus TSDB. Use when the user asks to diagnose a failure root cause, check GPU/network health, query Prometheus metrics, investigate a hang, or when the triage skill recommends…
Analyze MaxText training job performance using tgs_tagger, TraceLens, and IRLens. Use when the user asks to analyze a training run, profile traces, HLO IR, TGS metrics, GPU utilization, or mentions tag_tgs, TraceLens, IRLens, xplane, or performance analysis.
Use Telegram as the agent's I/O channel. Once triggered, the agent enters a REPL state — reading instructions from TG, executing them, printing results back to TG, and looping. Use when the user asks to be notified, messaged, or alerted via Telegram, or wants…
Audit AMD ROCm training Docker containers for installed software versions, git hashes, branches, source code, and repo links. Use when the user asks to analyze a container environment, check software versions, find git hashes, or inventory installed…
Debug segfaults and crashes in JAX/XLA/ROCm training workloads using coredump analysis. Use when the user has a coredump file, SIGSEGV, segfault, crash dump, or core file to analyze. Covers GDB backtrace extraction, identifying the crash cause from registers…