Matlab Performance Optimizer
Automatically identifies and suggests MATLAB code optimizations to improve script execution speed and efficiency.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add matlab-performance-optimizer npx -- -y @trustedskills/matlab-performance-optimizer
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"matlab-performance-optimizer": {
"command": "npx",
"args": [
"-y",
"@trustedskills/matlab-performance-optimizer"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The matlab-performance-optimizer skill allows AI agents to analyze and optimize MATLAB code for improved performance. It identifies bottlenecks, suggests algorithmic improvements, and provides recommendations for efficient memory usage within MATLAB scripts and functions. This results in faster execution times and reduced resource consumption for computationally intensive tasks.
When to use it
- Slow Simulations: Optimize lengthy simulations or models that take an unacceptably long time to run.
- Large Datasets: Improve the processing speed of code dealing with substantial datasets within MATLAB.
- Resource Constraints: Reduce memory usage and CPU load when running MATLAB on systems with limited resources.
- Code Refactoring: Get assistance in identifying areas for improvement during a broader code refactoring effort.
Key capabilities
- Performance bottleneck identification
- Algorithmic optimization suggestions
- Memory usage analysis
- MATLAB code profiling
Example prompts
- "Analyze this MATLAB script and suggest ways to improve its performance." (followed by the script)
- "What are the bottlenecks in my
my_simulation.mfile?" - "Optimize this function for faster execution: [function definition]"
Tips & gotchas
The skill requires access to the MATLAB code being analyzed. Ensure the AI agent has appropriate permissions and context to effectively interpret and provide optimization suggestions.
Tags
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