Agent skill · Media & Video

matlab-process-streaming-audio

Design and implement real-time audio processing chains using Audio Toolbox streaming objects. Use when building frame-based audio processing loops, multiband filters, dynamic range control, parametric EQ, level metering, loudness metering, SPL metering, octave-band analysis, sample rate conversion, frequency-domain filtering (long impulse responses, custom filter banks), or audio chains in Simulink. Covers visualization (visualize method), interactive tuning (parameterTuner), MIDI control, and Audio Toolbox Simulink blocks. Use when the user says "real-time audio", "streaming audio", "audio fi

matlabgithub.com/matlabGitHub ↗
claude-codecodexcopilotNOASSERTION
Install
npx skills add matlab/matlab-agentic-toolkit --skill matlab-process-streaming-audio --agent claude-code

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

Facts
Files in the skill folder: 3
SKILL.md size: 22 KB
Bundled scripts: none
Version: 1.0
Declared author: MathWorks
Path: skills-catalog/signal-processing/matlab-process-streaming-audio/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

# Streaming Audio Processing Design and run real-time audio processing in MATLAB and Simulink using Audio Toolbox streaming objects. These objects maintain internal state across frames, support tunable properties, and provide built-in visualization. ## When to Use - Building frame-based audio processing loops - Filtering audio in real time (crossover, EQ, shelving, octave) - Applying dynamic range control (compressor, limiter, expander, noise gate) - Measuring audio levels (peak, loudness, SPL, octave-band spectra) - Resampling audio signals (sample rate conversion) - Applying long impulse responses in real time (frequency-domain filtering) - Tuning audio parameters interactively while streaming - Visualizing filter responses or compressor characteristics - Controlling audio parameters with MIDI devices - Building audio processing chains in Simulink ## When NOT to Use - Audio device I/O setup with `audiostreamer` — use the `matlab-play-record-audio` skill - Audio plugin generation (VST/AU via `createAudioPluginClass`) - Deep learning audio features or inference - Offline batch processing of entire files without streaming ## Workflow Every streaming audio task follows this pattern:

What's inside
Steps it walks through
  1. When to Use
  2. When NOT to Use
  3. Workflow
  4. Key Functions
  5. Use These (Audio Toolbox objects)
  6. Universal Methods
  7. MIDI Control Functions
  8. Patterns
  9. Visualization and Tuning
  10. Multiband Processing
  11. Parametric Equalization
  12. Metering
  13. Streaming Spectral Processing (Per-Bin Manipulation)
  14. Frequency-Domain FIR Filtering (Long Impulse Responses)
Ships with 2 files
  • manifest.yaml
  • references/simulink-audio-blocks.md
More from matlab-agentic-toolkit
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About this skill
What does the matlab-process-streaming-audio skill do?

Design and implement real-time audio processing chains using Audio Toolbox streaming objects. Use when building frame-based audio processing loops, multiband filters, dynamic range control, parametric EQ, level metering, loudness metering, SPL metering, octave-band analysis, sample rate conversion, frequency-domain filtering (long impulse responses, custom filter banks), or audio chains in Simulink. Covers visualization (visualize method), interactive tuning (parameterTuner), MIDI control, and Audio Toolbox Simulink blocks. Use when the user says "real-time audio", "streaming audio", "audio fi

How do I install it?

Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-process-streaming-audio --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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