parameter-optimization
Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection. Use for calibration, uncertainty studies, parameter sweeps, LHS sampling, Sobol analysis, surrogate modeling, or Bayesian optimization setup.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install heshamfs-materials-simulation-skills-parameter-optimization
Repository
Skill path: skills/simulation-workflow/parameter-optimization
Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection. Use for calibration, uncertainty studies, parameter sweeps, LHS sampling, Sobol analysis, surrogate modeling, or Bayesian optimization setup.
Open repositoryBest for
Primary workflow: Design Product.
Technical facets: Full Stack, Designer.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: HeshamFS.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install parameter-optimization into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/HeshamFS/materials-simulation-skills before adding parameter-optimization to shared team environments
- Use parameter-optimization for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.