Agent skill · Backend & API

matlab-manage-pcb-material

Dielectric substrates, metal conductors, multi-layer stackups, and loss models (FR4, Rogers, Teflon) for RF PCB simulation. TRIGGER: user asks to set up a substrate, define dielectric properties, create a stackup, select a PCB material (FR4, Rogers, Teflon, etc.), or configure metal conductors. Invoke BEFORE writing dielectric() or metal() code — the API for named vs custom materials differs significantly. SKIP: PCB layout assembly (use matlab-assemble-pcb-layout), transmission line design (use matlab-design-pcb-txline), EM analysis (use matlab-analyze-em), importing a PCB file (use matlab-rea

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

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

Facts
Files in the skill folder: 2
SKILL.md size: 12 KB
Bundled scripts: none
Version: 1.0
Declared author: MathWorks
Path: skills-catalog/rf-and-mixed-signal/matlab-manage-pcb-material/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

# Managing Materials for RF PCB Toolbox ## When to Use - Creating dielectric substrates for transmission lines, filters, couplers, or custom pcbComponent designs - Selecting metals (Copper, Gold, etc.) for realistic conductor loss modeling - Building multi-layer dielectric stacks for stripline or embedded designs - Choosing frequency-dependent dispersion models (DjordjevicSarkar) for wideband accuracy - Looking up catalog material properties or adding custom materials ## When NOT to Use - Building the PCB layer structure itself — use `matlab-assemble-pcb-layout` - Running EM analysis after materials are defined — use `matlab-analyze-em` - Designing transmission lines that happen to need substrates — use `matlab-design-pcb-txline` (it references this skill for material details) - Importing material properties from an existing board file — use `matlab-read-pcb-layout` ## Typical Workflow 1. **This skill:** Define substrate, conductor, and stackup — typically the first step in any RF PCB design 2. **After:** Any design skill (`matlab-design-pcb-filter`, `matlab-design-pcb-txline`, `matlab-assemble-pcb-layout`, `matlab-model-via`) — pass materials to the component ## Quick Reference |

What's inside
Steps it walks through
  1. When to Use
  2. When NOT to Use
  3. Typical Workflow
  4. Quick Reference
  5. Creating Dielectrics
  6. From Catalog
  7. Custom Properties
  8. Key Properties
  9. Browsing the Catalog
  10. Creating Metals
  11. Assigning to Components
  12. Multi-Layer Substrates
  13. Shorthand Syntax (catalog names)
  14. Explicit Multi-Layer
Ships with 1 file
  • manifest.yaml
More from matlab-agentic-toolkit
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About this skill
What does the matlab-manage-pcb-material skill do?

Dielectric substrates, metal conductors, multi-layer stackups, and loss models (FR4, Rogers, Teflon) for RF PCB simulation. TRIGGER: user asks to set up a substrate, define dielectric properties, create a stackup, select a PCB material (FR4, Rogers, Teflon, etc.), or configure metal conductors. Invoke BEFORE writing dielectric() or metal() code — the API for named vs custom materials differs significantly. SKIP: PCB layout assembly (use matlab-assemble-pcb-layout), transmission line design (use matlab-design-pcb-txline), EM analysis (use matlab-analyze-em), importing a PCB file (use matlab-rea

How do I install it?

Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-manage-pcb-material --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.

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