Agent skill · Testing & QA

matlab-integrate-antennas

Integrate antennas into RF systems using MATLAB Antenna Toolbox and RF Toolbox. Covers impedance matching network design (L/Pi/Tee topologies, evaluation parameters, Richards transformation), measured antenna creation (E-field, directivity-only, EmbeddedE, ffsReader import), RF propagation and site planning (txsite/rxsite, coverage, SINR, ray tracing, link budget), and SAR estimation (birdcage+Phantom, conformalArray+Custom3D, direct EHfields). Use when the user wants to match an antenna, create a measuredAntenna, compute coverage or signal strength, perform ray tracing, or estimate SAR.

matlabgithub.com/matlabGitHub ↗
claude-codecodexcopilotNOASSERTION
Install
npx skills add matlab/matlab-agentic-toolkit --skill matlab-integrate-antennas --agent claude-code

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

Facts
Files in the skill folder: 6
SKILL.md size: 8 KB
Bundled scripts: none
Version: 1.0
Declared author: MathWorks
Path: skills-catalog/rf-and-mixed-signal/matlab-integrate-antennas/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

# Antenna Integration and Deployment Integrate designed antennas into RF systems -- impedance matching, data exchange via measuredAntenna, RF propagation/site planning, and SAR compliance -- using MATLAB Antenna Toolbox and RF Toolbox. ## When to Use **Impedance matching** - Match an antenna to 50 ohm (or other impedance) - Improve return loss or VSWR - Design L, Pi, or Tee matching network - Convert lumped matching to distributed (Richards transformation) - Compare 2-element vs 3-element bandwidth **Measured antenna creation** - Create a `measuredAntenna` from pattern data or simulation - Use an antenna with `txsite`/`rxsite` for propagation - Import antenna data from CST (.ffs) or HFSS (.ffd) - Steer a beam with phase shifts on a measured array - Use a measuredAntenna as element in a larger array **RF propagation and site planning** - Compute signal strength, coverage, or path loss between sites - Analyze SINR, interference, or frequency reuse - Perform ray tracing for 5G/mmWave propagation - Determine link budget or link closure - Plan wireless network transmitter/receiver placement **SAR estimation** - Compute SAR from an antenna near or inside biological tissue - Assess RF exp

What's inside
Steps it walks through
  1. When to Use
  2. When NOT to Use
  3. Must-Follow Rules
  4. Matching Networks
  5. Measured Antennas
  6. RF Propagation
  7. SAR
  8. Workflow
  9. 1. Impedance Matching
  10. 2. Measured Antenna Creation
  11. 3. RF Propagation & Site Planning
  12. 4. SAR Estimation
  13. Key Classes
  14. Conventions
Ships with 5 files
  • manifest.yaml
  • references/matching-networks.md
  • references/measured-antennas.md
  • references/rf-propagation.md
  • references/sar-estimation.md
More from matlab-agentic-toolkit
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About this skill
What does the matlab-integrate-antennas skill do?

Integrate antennas into RF systems using MATLAB Antenna Toolbox and RF Toolbox. Covers impedance matching network design (L/Pi/Tee topologies, evaluation parameters, Richards transformation), measured antenna creation (E-field, directivity-only, EmbeddedE, ffsReader import), RF propagation and site planning (txsite/rxsite, coverage, SINR, ray tracing, link budget), and SAR estimation (birdcage+Phantom, conformalArray+Custom3D, direct EHfields). Use when the user wants to match an antenna, create a measuredAntenna, compute coverage or signal strength, perform ray tracing, or estimate SAR.

How do I install it?

Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-integrate-antennas --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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