Scientific Data Simulation

Data simulation

Data simulation skill. Synthetic data generation, Monte Carlo simulation, bootstrap resampling, parametric/non-parametric simulation, and power analysis via simulation.

Use This Skill When

• Synthetic data generation.
• Monte Carlo simulation.
• Bootstrap resampling.
• Parametric/non-parametric simulation.
• Power analysis via simulation.

Required Inputs

• Research objective, decision target, or hypothesis.
• Available data, source constraints, and domain assumptions.
• Required outputs, success metrics, and deadline or reproducibility constraints.

Workflow

1. Confirm scope, assumptions, and the exact artifact set to save.
2. Apply the narrowest domain method that answers the request with defensible evidence.
3. Save code, tables, figures, and intermediate outputs to files instead of chat-only output.