/spark-preflight
Preflight a DGX Spark system for an ML training or inference workload and emit env-report.json
$ npx -y skills add wshobson/agents --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/spark-preflight
Context preview
What this command does when you run it.
Preflight a DGX Spark system for an ML training or inference workload and emit env-report.json
Command definition
spark-preflight.mddescription: Preflight a DGX Spark system for an ML training or inference workload and emit env-report.json argument-hint: "[planned workload, e.g. 'QLoRA 8B, 3 epochs, 8k context']"
DGX Spark Preflight
Verify this DGX Spark system is ready for: $ARGUMENTS
<Task> subagent_type: dgx-spark-ops-engineer prompt: | Run a full preflight for the planned workload: $ARGUMENTS 1. Confirm hardware identity (GB10/aarch64/CUDA 13) and stack per the spark-environment-setup skill. 2. Execute checks G1–G10 from the spark-training-gotchas skill; record each check's result using the check vocabulary (pass/fail/warn/skip/info). 3. Compute memory headroom for the workload with the spark-memory-thermal-ops worksheets. 4. Write env-report.json to the current directory (schema in agent instructions) and summarize verdict: ready | ready-with-warnings | blocked, with the blocking gotcha named. </Task>
Report the verdict and any warnings to the user. If blocked, present the specific fix from the gotcha's FIX entry before suggesting anything else.
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Repo: wshobson/agents
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