MATLAB Toolbox Skills for AI Coding Agents (v2.0)
Hi everyone,
Some of you may remember my earlier post. Quick version: I'm a biomed PhD student, I use MATLAB daily, and I noticed that AI coding tools often suggest functions that don't exist in R2025b or use deprecated ones. So I built skills that teach them what actually works.
v2.0 adds 54 template `.m` scripts, rewrites all knowledge cards based on blind testing, and verifies every function call against live MATLAB. I tested each skill on 17 prompts and caught 8 hallucinated functions across 5 toolboxes (Medical Imaging, Deep Learning, Image Processing, Stats-ML, Wavelet).
Give it a spin!
Repo: matlab-toolbox-skills
The skills follow the Agent Skills open standard, so they also work with Codex, Gemini CLI, Claude Code and others. If you use the official Matlab MCP Server from MathWorks, these skills complement it: the MCP server executes your code, the skills help the AI write good code to begin with.
One ask
How do we measure performance and evaluate agent skills? We can run blind tests and catch hallucinated functions, but that only covers what we thought to test. The honest answer is that the best way to evaluate these is community consensus and real-world testimonials. How are you using them? What worked? What still broke?
Your use cases and feedback are the most reliable eval I can get, and as a student building this, they're also the real motivation for me to keep going. If a skill saved you from a hallucinated function or pointed you to the right function call, I'd love to hear about it. If something is still wrong, I need to hear about it.
Issues, PRs, or just a reply here. Star the repo if it saved you time.
Thanks!
Happy Spring! and Happy Coding in Matlab!
Best,
Ritish
3 Comments
Time Descending
Great! Can you provide a tutorial on using MATLAB with VS Code+ChatGPT Copilot+Codex for assistance? (for free users)
Thank you very much! Regarding the tutorial, I would highly recommed the blog post by @Hans Scharler at MATLAB Engineering Super Stack. It is a wonderfully written blog and I am sure will enjoy reading it and trying out the steps mentioned in that blog.
I will also work on sharing my workflow soon on the posts, which is again pretty similar and inspired from blog @Hans Scharler.
Thank you again for your comment and encouragement!
Best,
Ritish
Thanks for the shoutout. Great work!
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