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ARK
ARK contiene 7 skills recopiladas de kaust-ark, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
Strategies for fitting a paper to a venue's page limit without destroying content quality. Applies to any phase that modifies paper content.
Rules for maintaining figure and table data integrity. All visual data must trace to result files — never invented or modified for convenience.
How to submit SLURM jobs on the SANDS Lab ROCS testbed cluster (KAUST). Covers GPU GRES selection (v100/a100 — p100 is off-policy), QoS caps, conda env activation, multi-node DeepSpeed, preemptible spot jobs, and the watchdog that kills jobs with <15% GPU utilization. Use for any project whose compute_backend is slurm and whose cluster nodes are named `mcnode*`.
Protocol for requesting human intervention when an agent encounters a blocker it cannot resolve autonomously.
Containerized isolation via Apptainer for reproducible experiments. Use whenever the project executes third-party code (agent frameworks, browser agents, codegen tools, benchmark harnesses), runs GPU workloads via Slurm on a shared cluster, needs a reproducible runtime environment for paper claims, or isolates untrusted/adversarial inputs from the host. Broadly applicable to measurement, benchmark, and systems papers — not only to malicious-code experiments.
Rules for maintaining research integrity. No simulation, no fabrication, no shortcuts.
Best practices for project-isolated environment setup. All installations must be local to the project, never global.