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ClaudSkills / Science & Research / math-stats

Parameter Optimization

Category: Science & Research  ·  Sub-category: math-stats  ·  Last updated:
Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection — generate Latin Hypercube, quasi-random, or factorial sample plans, rank parameter influence with sensitivity scores, recommend Bayesian optimization, CMA-ES, or gradient- based methods based on dimension and budget, and fit surrogate models for expensive evaluations. Use when calibrating material properties against experimental data, planning a parameter sweep, performing uncertainty quantification, or choosing an optimization strategy for a simulation with a limited evaluation budget, even if the user only says "which parameters matter most" or "how do I calibrate my model."

About this skill (catalog notes)

Parameter Optimization includes at least one code block. The SKILL.md runs to about 943 words, in the catalog's typical mid-range.

Original author
FreedomIntelligence
Indexed lastmod
Catalog position
Science & Research · math-stats
Indexed related skills
10

How Parameter Optimization fits the catalog

Parameter Optimization sits in the Science & Research category under the math-stats sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.

These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.

What this skill does

Parameter Optimization is a community-contributed Claude Code skill in the math-stats sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/parameter-optimization/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when calibrating material properties against experimental data, planning a parameter sweep, performing uncertainty quantification, or choosing an optimization strategy for a simulation with a limited evaluation budget, even if the user only says "which parameters matter most" or "how do I calibrate my model.

Who uses this skill

The Parameter Optimization Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 116,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/parameter-optimization
curl -L https://claudskills.com/skills/parameter-optimization/SKILL.md \
  -o ~/.claude/skills/parameter-optimization/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/parameter-optimization/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/parameter-optimization/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\parameter-optimization\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

Frequently asked questions

How do I install the Parameter Optimization Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/parameter-optimization/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Parameter Optimization skill do?
Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection — generate Latin Hypercube, quasi-random, or factorial sample plans, rank parameter influence with sensitivity scores, recommend Bayesian optimization, CMA-ES, or gradient- based methods based on dimension and budget, and fit surrogate models for expensive evaluations. Use when calibrating material properties against experimental data, planning a parameter sweep, performing uncertainty quantification, or choosing an optimization strategy for a simulation with a limited evaluation budget, even if the user only says "which parameters matter most" or "how do I calibrate my model."
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Parameter Optimization skill?
Use Parameter Optimization when your Claude Code task falls under the Science & Research category — specifically in the math stats area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Parameter Optimization" or describe the task and let Claude pick). Browse related skills at /category/science/.
What is a Claude Code skill and how does the Parameter Optimization skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Parameter Optimization is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
FreedomIntelligence. (2026). Parameter Optimization [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/parameter-optimization/
BibTeX
@misc{parameter-optimization-2026,
  author    = {FreedomIntelligence},
  title     = {Parameter Optimization [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/parameter-optimization/}
}

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