Agent skill · Design & Presentation

matlab-design-digital-filter

Design and validate digital filters in MATLAB. Use when cleaning up noisy signals, removing interference, filtering signals, designing FIR/IIR filters (lowpass/highpass/bandpass/bandstop/notch), or comparing filters in Filter Analyzer.

matlabgithub.com/matlabGitHub ↗
claude-codecodexcopilotNOASSERTION
Install
npx skills add matlab/matlab-agentic-toolkit --skill matlab-design-digital-filter --agent claude-code

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

Facts
Files in the skill folder: 16
SKILL.md size: 6 KB
Bundled scripts: none
Version: 1.1
Declared author: MathWorks
Path: skills-catalog/signal-processing/matlab-design-digital-filter/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

# Design Digital Filters in MATLAB Design, implement, and validate digital filters using Signal Processing Toolbox and DSP System Toolbox. Choose the right architecture (single-stage vs efficient alternatives), generate correct code, and verify the result with plots and numbers. ## When to Use - Designing lowpass, highpass, bandpass, bandstop, or notch filters - Cleaning up noisy signals or removing interference - Choosing between FIR and IIR filter architectures - Comparing filter designs in Filter Analyzer - Building streaming (real-time) or offline (batch) filtering pipelines - Handling narrow transition bands with multirate or IFIR approaches ## When NOT to Use - Adaptive filtering (LMS, RLS) -- use Signal Processing Toolbox docs directly - Audio-specific processing (equalization, room correction) -- use Audio Toolbox - Image filtering (2D convolution, morphological ops) -- use Image Processing Toolbox - General spectral analysis without filtering intent -- FFT/periodogram docs suffice ## Key Rules - **Read references/INDEX.md** before writing any filter design code. - **Always write to .m files.** Never put multi-line MATLAB code directly in `evaluate_matlab_code`. Write to a

What's inside
Steps it walks through
  1. When to Use
  2. When NOT to Use
  3. Key Rules
  4. Preflight Procedure
  5. Workflow
  6. Phase 1: Signal Analysis
  7. Phase 2: Clarify Intent
  8. Phase 3: Architecture Selection
  9. Design Intake Checklist
  10. Required signal + frequency spec (cannot proceed without)
  11. Required intent for architecture choice (ask if unknown)
  12. Architecture Checkpoint
  13. Design + Verify
  14. Key Functions
Ships with 15 files
  • manifest.yaml
  • references/INDEX.md
  • references/best-practices.md
  • references/efficient-filtering.md
  • references/filter-analyzer.md
  • references/multirate.md
  • references/multistage-ifir.md
  • references/patterns.md
  • references/quick-ref/designfilt.md
  • references/quick-ref/efficient-filtering.md
  • references/quick-ref/filter-analyzer.md
  • references/quick-ref/general-iir-fir.md
  • references/quick-ref/multirate-offline.md
  • references/quick-ref/multirate-streaming.md
  • references/quick-ref/multistage-ifir.md
More from matlab-agentic-toolkit
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About this skill
What does the matlab-design-digital-filter skill do?

Design and validate digital filters in MATLAB. Use when cleaning up noisy signals, removing interference, filtering signals, designing FIR/IIR filters (lowpass/highpass/bandpass/bandstop/notch), or comparing filters in Filter Analyzer.

How do I install it?

Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-design-digital-filter --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