Simulink Linearization

by matlab

Simulink Linearization is an AI Engineering skill for Claude Code, published by matlab in simulink-agentic-toolkit.

963 stars94 forkson matlab/simulink-agentic-toolkitAdded 2026/08/21+1% in starsRepository updated 2026/08/19

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agent-skillsclaude-codecodex-pluginengineering-agentsgithub-copilotmatlabmatlab-mcp-servermcp-toolssimulink

Install in seconds

Install Simulink Linearization

Copy Simulink Linearization 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/simulink-agentic-toolkit/tree/main/skills-catalog/control-systems/simulink-linearize ~/.claude/skills/simulink-linearize

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/simulink-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/control-systems/simulink-linearize/SKILL.md in matlab/simulink-agentic-toolkit
Installs to: ~/.claude/skills/simulink-linearize
Collection: One of 24 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Simulink Linearization does

Simulink Linearization extracts LTI or LPV models from Simulink using linearize and related Simulink Control Design APIs. Use it to linearize models, batch operating points, and debug unexpected linearization results.

Simulink Linearization is cataloged under AI Engineering on DirSkills. Simulink Linearization comes from a repository tagged agent-skills, claude-code, codex-plugin, engineering-agents and github-copilot.

Documentation

README

Excerpt

Simulink Linearization

Extract linear time invariant (LTI) or linear parameter varying (LPV) models from Simulink using linearize and related APIs from Simulink Control Design.

When to Use

Obtaining a linear model (tf, ss, zpk) from a Simulink model
Batch linearization across operating points and parameter variations
Building LPV models with ssInterpolant
Debugging linearization results (zero gain, unexpected dynamics)
Extracting multiple LTI systems with a single model compile

When NOT to Use

Frequency response estimation from simulation — use simulink-frequency-response for frestimate-based fallback
No Simulink model is involved

Workflow

The linearization pipeline has four stages. Not every task requires all stages.

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

Frequently asked about Simulink Linearization

What else does matlab publish alongside Simulink Linearization?
Simulink Linearization is one of 24 skills that DirSkills catalogs from matlab/simulink-agentic-toolkit, the repository it ships in. Its siblings there include Author Input Signals, Author Model Advisor Checks and Building Architecture Models. Each one is a separate skill with its own page in this directory, installs the same way Simulink Linearization does, and is maintained by matlab in that same repository. The rest of the collection is listed on the matlab/simulink-agentic-toolkit page.
How does Simulink Linearization compare to other AI Engineering skills?
Simulink Linearization ranks #1421 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. 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 Simulink Linearization against them. Open each page to compare what they document and how they install.