Agent skill · Design & Presentation

matlab-model-serdes-systems

Model, simulate, and optimize Serializer/Deserializer (SerDes) systems — serial and parallel links — using MATLAB SerDes Toolbox. Design NRZ and PAM-N links (PAM3 through PAM16) — explore equalization architectures (FFE, CTLE, DFE), sweep or optimize parameters with genetic algorithms, and characterize channels from loss models, S-parameter files, or crosstalk scenarios. Process captured waveforms through equalization chains, build eye diagrams, and decompose jitter. Deliver IBIS-AMI models for Tx, Rx, Redriver, or Retimer by exporting to Simulink and compiling .ami/.ibs/.dll/.so files. Covers

matlabgithub.com/matlabGitHub ↗
claude-codecodexcopilotNOASSERTION
Install
npx skills add matlab/matlab-agentic-toolkit --skill matlab-model-serdes-systems --agent claude-code

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

Facts
Files in the skill folder: 13
SKILL.md size: 16 KB
Bundled scripts: none
Version: 1.0
Declared author: MathWorks
Path: skills-catalog/rf-and-mixed-signal/matlab-model-serdes-systems/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

# Modeling and Simulating SerDes Systems Design, analyze, and deliver high-speed serial link models using SerDes Toolbox. From architecture exploration through IBIS-AMI model generation, covers the full workflow for NRZ and PAM-N links (PAM3 through PAM16). ## When to Use **System design and architecture exploration** - Designing SerDes links for a target data rate, signaling scheme (NRZ, PAM4, PAM-N), and channel loss - Evaluating equalization architectures (FFE, CTLE, DFE) and optimizing tap settings - Sweeping design parameters to find optimal configurations - Using industry reference designs (PCIe, USB4, DDR5, CEI, UCIe) as starting points - Characterizing Tx/Rx analog effects (parasitic capacitance, rise time, termination impedance) - Building custom datapath blocks for nonstandard equalization **Channel modeling and characterization** - Loading S-parameter Touchstone files into SerdesSystem - Modeling channels with loss profiles, crosstalk (FEXT/NEXT), and aggressors - Fitting CTLE transfer functions from measured data via `ctlefit` **IBIS-AMI model generation** - Building IBIS-AMI models for Tx, Rx, Redriver, or Retimer configurations - Exporting to Simulink, configuring AMI

What's inside
Steps it walks through
  1. When to Use
  2. When NOT to Use
  3. Must-Follow Rules
  4. System Setup
  5. Equalization
  6. Metrics and Waveforms
  7. AMI and Simulink
  8. Workflow
  9. Design Exploration
  10. Waveform Processing
  11. IBIS-AMI Model Delivery
  12. AMI Model Types
  13. Key Classes
  14. Datapath Blocks
Ships with 12 files
  • manifest.yaml
  • reference/channel-modeling.md
  • reference/common-mistakes.md
  • reference/custom-datapath-blocks.md
  • reference/equalization-tuning.md
  • reference/optimization.md
  • reference/programmatic-ami-generation.md
  • reference/serdes-api-reference.md
  • reference/serdes-utilities.md
  • reference/simulink-serdes-simulation.md
  • reference/visualization-and-metrics.md
  • reference/waveform-processing.md
More from matlab-agentic-toolkit
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About this skill
What does the matlab-model-serdes-systems skill do?

Model, simulate, and optimize Serializer/Deserializer (SerDes) systems — serial and parallel links — using MATLAB SerDes Toolbox. Design NRZ and PAM-N links (PAM3 through PAM16) — explore equalization architectures (FFE, CTLE, DFE), sweep or optimize parameters with genetic algorithms, and characterize channels from loss models, S-parameter files, or crosstalk scenarios. Process captured waveforms through equalization chains, build eye diagrams, and decompose jitter. Deliver IBIS-AMI models for Tx, Rx, Redriver, or Retimer by exporting to Simulink and compiling .ami/.ibs/.dll/.so files. Covers

How do I install it?

Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-model-serdes-systems --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