Resolve Design Errors

by matlab

Resolve Design Errors is a Quality 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 Resolve Design Errors

Copy Resolve Design Errors 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/verification-validation-and-test/resolve-design-errors ~/.claude/skills/resolve-design-errors

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/verification-validation-and-test/resolve-design-errors/SKILL.md in matlab/simulink-agentic-toolkit
Installs to: ~/.claude/skills/resolve-design-errors
Collection: One of 24 skills cataloged from this repository
Category: Quality — 1354 skills

What Resolve Design Errors does

Resolve Design Errors uses Simulink Design Verifier defect checking and root-cause analysis to find division-by-zero, overflow, dead logic, and out-of-bounds issues in Simulink models. Use it to diagnose findings and assess dead logic that blocks coverage objectives.

Resolve Design Errors is cataloged under Quality on DirSkills. Resolve Design Errors comes from a repository tagged agent-skills, claude-code, codex-plugin, engineering-agents and github-copilot.

Documentation

README

Excerpt

Detecting Design Errors (SLDV DED + Root Cause Analysis)

When to Use

User asks to check a Simulink model for design errors (division-by-zero, overflow, dead logic, out-of-bounds)
User asks to find root causes of DED findings
User asks to fix or understand an analysis finding
User asks why there is missing coverage due to dead logic (dead logic gates prevent coverage objectives from being satisfied)
User has SLDV artifacts (.mat file) and wants analysis without re-running DED

When NOT to Use

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

Frequently asked about Resolve Design Errors

What else does matlab publish alongside Resolve Design Errors?
Resolve Design Errors 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 Resolve Design Errors 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 Resolve Design Errors compare to other Quality skills?
Resolve Design Errors ranks #869 by stars among the 1354 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. 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 Resolve Design Errors against them. Open each page to compare what they document and how they install.