Agent skill · Backend & API

matlab-read-pcb-layout

Import Gerber, ODB++, Allegro .brd, .mcm files for PCB boards and IC packages. Inspect nets, layers, shapes, and stackups. TRIGGER: user asks to import, read, or open a PCB layout file. Gerber files use gerberRead or PCBReader; ODB++, Allegro .brd, .mcm, and native formats use pcbFileRead. Also when inspecting nets, layers, components, or stackups from an imported board. Invoke BEFORE writing import code — the query API (cadnet, cadnetList, componentList) is specialized. SKIP: EM analysis or S-parameter extraction (use matlab-analyze-em), PDN/IR-drop analysis (use matlab-analyze-pcb-pdn), buil

matlabgithub.com/matlabGitHub ↗
claude-codecodexcopilotNOASSERTION
Install
npx skills add matlab/matlab-agentic-toolkit --skill matlab-read-pcb-layout --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 18 KB
Bundled scripts: none
Version: 1.0
Declared author: MathWorks
Path: skills-catalog/rf-and-mixed-signal/matlab-read-pcb-layout/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 868
Language: MATLAB

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Reading PCB and Package Layouts **Scope:** `pcbFileRead` handles both PCB boards and IC/SiP packages. ODB++ and Allegro files may contain package-level designs (BGA substrates, interposers, embedded passives). The workflow is identical — the format determines what's inside, not the function name. ## When to Use - Importing Gerber files (`.gtl`, `.gbl`, `.gbr`, etc.) into MATLAB for visualization or EM analysis - Reading ODB++ archives (zipped or unzipped) to inspect board or package layouts - Importing Cadence Allegro `.brd` files - Inspecting cadnets, components, layers, pins, or shapes from imported layouts - Extracting metal layer polygons from Gerber files for use in custom designs - Building a `pcbComponent` from externally designed layouts for S-parameter analysis ## When NOT to Use - Exporting designs to Gerber files — use `matlab-write-pcb-layout` - Building PCB structures from scratch with shape primitives — use `matlab-assemble-pcb-layout` - Running EM analysis after import — use `matlab-analyze-em` - Defining substrates or stackup materials — use `matlab-manage-pcb-material` ## Typical Workflow 1. **This skill:** Import the PCB layout from Gerber, ODB++, or Allegro 2.

What's inside
Steps it walks through
  1. When to Use
  2. When NOT to Use
  3. Typical Workflow
  4. Quick Reference
  5. gerberRead — Simple Import
  6. Basic Usage
  7. Centering Imported Geometry
  8. Supported Gerber File Extensions
  9. stackUp — Multi-Layer Definition
  10. Default stackUp
  11. Assigning Gerber Files to Layers
  12. Multi-Layer Stackup
  13. PCBReader — Full Board Import
  14. Basic Workflow
Ships with 1 file
  • manifest.yaml
More from matlab-agentic-toolkit
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About this skill
What does the matlab-read-pcb-layout skill do?

Import Gerber, ODB++, Allegro .brd, .mcm files for PCB boards and IC packages. Inspect nets, layers, shapes, and stackups. TRIGGER: user asks to import, read, or open a PCB layout file. Gerber files use gerberRead or PCBReader; ODB++, Allegro .brd, .mcm, and native formats use pcbFileRead. Also when inspecting nets, layers, components, or stackups from an imported board. Invoke BEFORE writing import code — the query API (cadnet, cadnetList, componentList) is specialized. SKIP: EM analysis or S-parameter extraction (use matlab-analyze-em), PDN/IR-drop analysis (use matlab-analyze-pcb-pdn), buil

How do I install it?

Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-read-pcb-layout --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From matlab/matlab-agentic-toolkit, a repository with 868 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going