Interactive Curve Fitting

by matlab

Interactive Curve Fitting is a Data skill for Claude Code, published by matlab in matlab-agentic-toolkit.

938 stars115 forkson matlab/matlab-agentic-toolkitAdded 2026/08/21+2% in starsRepository updated 2026/08/13

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agent-skillsclaude-codecodex-pluginengineering-agentsgithub-copilotmatlabmatlab-mcp-server

Install in seconds

Install Interactive Curve Fitting

Copy Interactive Curve Fitting into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-fit-curve ~/.claude/skills/matlab-fit-curve

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/matlab/matlab-agentic-toolkit.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills-catalog/ai-and-statistics/matlab-fit-curve/SKILL.md in matlab/matlab-agentic-toolkit
Installs to: ~/.claude/skills/matlab-fit-curve
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What Interactive Curve Fitting does

Interactive Curve Fitting guides no-code curve and surface fitting in the Curve Fitter app. Use it to explore fit types, exclude outliers, compare fits, and export results to MATLAB code, the workspace, figures, or Simulink lookup tables.

Interactive Curve Fitting is cataloged under Data on DirSkills. Interactive Curve Fitting comes from a repository tagged agent-skills, claude-code, codex-plugin, engineering-agents and github-copilot.

Documentation

README

Excerpt

Interactive Curve and Surface Fitting

Guides interactive curve and surface fitting through the Curve Fitter app as part of the Curve Fitting Toolbox. Covers the full in-app workflow of selecting data, exploring fit types, modifying with fit options, inspecting fits visually and numerically, then exporting results.

When to Use

No-code fitting

Users who want to fit curves or surfaces without writing code
Users who want to start interactively and generate code later to continue in the command line

Interactive exploration

Exploring fit types when the best model is unknown
Iterating on fits with visual feedback
Maintaining and comparing multiple fits in a single session
Discovering available fit types, options, and features

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Interactive Curve Fitting

What else does matlab publish alongside Interactive Curve Fitting?
Interactive Curve Fitting is one of 25 skills that DirSkills catalogs from matlab/matlab-agentic-toolkit, the repository it ships in. Its siblings there include Aerospace Fundamentals, Build RoadRunner Scenario From OpenSCENARIO and Compute Aerospace Environment. Each one is a separate skill with its own page in this directory, installs the same way Interactive Curve Fitting does, and is maintained by matlab in that same repository. The rest of the collection is listed on the matlab/matlab-agentic-toolkit page.
How does Interactive Curve Fitting compare to other Data skills?
Interactive Curve Fitting ranks #456 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Interactive Curve Fitting against them. Open each page to compare what they document and how they install.