parameter-optimization
About
This Claude Skill helps developers optimize simulation parameters through design of experiments, sensitivity analysis, and optimizer selection. It's designed for calibration, uncertainty studies, and parameter sweeps using techniques like LHS sampling and Sobol analysis. The skill works with Python's standard library to provide a complete workflow for ranking parameter influence and building optimization strategies.
Quick Install
Claude Code
Recommendednpx skills add HeshamFS/materials-simulation-skills -a claude-code/plugin add https://github.com/HeshamFS/materials-simulation-skillsgit clone https://github.com/HeshamFS/materials-simulation-skills.git ~/.claude/skills/parameter-optimizationCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the parameter-optimization skill?
parameter-optimization is a Claude Skill by HeshamFS. Skills package instructions and resources that Claude loads on demand, so Claude can perform parameter-optimization-related tasks without extra prompting.
How do I install parameter-optimization?
Use the install commands on this page: add parameter-optimization to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does parameter-optimization belong to?
parameter-optimization is in the Design category, tagged ai and design.
Is parameter-optimization free to use?
Yes. parameter-optimization is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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