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gpd-parameter-sweep

Implement parallel parameter sweep workflows for 1D and 2D spaces.

Updated Mar 15, 2026
Search Tags:#workflow#simulation#parallel#artifacts#sweep#parameter
One-click install
npx skills add https://github.com/MichaelsEngineering/get-physics-done-test --skill gpd-parameter-sweep-michaelsengineering
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gpd-parameter-sweep
Source: https://github.com/MichaelsEngineering/get-physics-done-test/tree/main/.agents/skills/gpd-parameter-sweep
Command: npx skills add https://github.com/MichaelsEngineering/get-physics-done-test --skill gpd-parameter-sweep-michaelsengineering

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic parameter sweeps enable rigorous exploration of high-dimensional spaces, but manual setup leads to inconsistent results and wasted compute. This skill provides a repeatable workflow to design, execute, and aggregate sweep results.

Core Features & Use Cases

  • Parallel wave-based execution for independent sweep points
  • 1D and 2D sweep planning, with plan generation and artifact organization
  • Adaptive refinement (optional) to focus on regions of interest
  • Automatic result aggregation and summary reporting for downstream analysis

Quick Start

Define a sweep with a single parameter over a specified range and review the generated sweep artifacts.

Frequently Asked Questions about gpd-parameter-sweep

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run a parameter sweep across a two-dimensional space in parallel?▼

A parallel parameter sweep executes independent sweep points across 1D or 2D variable spaces in parallel waves, generating execution plans per point and aggregating results into a structured dataset for analysis.

What is the best way to aggregate parameter sweep results into a machine-readable dataset?▼

A systematic parameter sweep automatically aggregates results from all executed sweep points into a machine-readable dataset, enforcing structured artifact storage and producing a summarized report for downstream interpretation.

How does wave-based parallel execution work for simulation parameter sweeps?▼

Wave-based parallel execution for simulation parameter sweeps processes independent sweep points in concurrent batches, ensuring robust failure handling and structured artifact storage for each completed simulation run.

Can I focus my parameter sweep on specific regions of interest after an initial run?▼

Yes, you can focus your parameter sweep on specific regions of interest using optional adaptive refinement, which iteratively targets specific areas of the 1D or 2D parameter space after the initial wave-based execution.

How do I handle failures when running a large-scale parallel parameter sweep?▼

To handle failures during a parallel parameter sweep, the workflow enforces robust failure handling at each sweep point, isolating errors within wave-based execution batches to preserve the overall simulation results and artifact storage.

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