simulation-orchestrator

Parameter sweeps generate configurations for batch simulation campaigns. Use the sweep generator to create parameter combinations via grid, linspace, or Latin Hypercube Sampling methods, then execute jobs in parallel across your simulations, producing tracked results in JSON format.

Yes. This Skill orchestrates simulation campaigns across Linux, macOS, and Windows environments using Python 3.10+ and the standard library, requiring no external dependencies for core sweep generation, job tracking, and result aggregation.

Job tracking monitors status across batch runs while result aggregation collects and combines outcomes into JSON outputs. The Skill manages campaign state, updates job statuses, and summarizes results across all parameter combinations in a single aggregated dataset.

Three strategies generate parameter sweeps: grid creates all combinations, linspace distributes values evenly across a range, and Latin Hypercube Sampling produces space-filling designs for uncertainty quantification and convergence studies.

No. The Skill handles base configuration, sweep strategy selection, campaign management, and job tracking using only Python 3.10+ standard library, eliminating dependencies on external orchestration or scheduling tools.