audio-dsp-engineering
v0.1.2Audio DSP engineering team — agents (audio-dsp-architect, dsp-implementation-engineer) for the layer answering 'what processing architecture, at what latency, on what platform — and how do we make the audio callback real-time-safe and fast?': processing model (block vs sample-by-sample), latency & buffer budget, fixed vs float + denormals, algorithm approach (IIR biquads / FIR, FFT/STFT overlap-add, oversampling/anti-aliasing), plugin formats & frameworks (JUCE, VST3, AU/AUv3, AAX, CLAP, LV2), audio I/O (CoreAudio, ASIO, WASAPI, ALSA/JACK, Web Audio), lock-free parameter passing, spatial/binaural (HRTF), embedded DSP (CMSIS-DSP), SIMD, and measurement (null tests, THD+N, frequency response). skills, a knowledge bank (decision tree + 2026 patterns), and templates. Distinct from streaming-media-engineering (codecs/delivery), conversational-ai-voice-engineering (voice AI agents), and embedded-iot-engineering (general firmware) — this is the real-time signal-processing layer. Needs ravenclaude-core.
By Matt CorbettLicense: MIT7 GitHub starsUpdated last week
Directory evidence
- Runtimes
- Claude Code
- Parsed components
- 3 skill or MCP entries
- Source updated
- Sep 15, 2026
- Manifest status
- Canonical path parsed
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Install audio-dsp-engineering for Claude Code
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install audio-dsp-engineering@agent-plugin-marketplacePaste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/mcorbett51090/RavenClaudeClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/audio-dsp-engineering/.
Plugin files
├── .claude-plugin/plugin.json├── skills/choose-audio-dsp-architecture/SKILL.md├── skills/design-signal-processing-chain/SKILL.md└── skills/implement-and-optimize-realtime-audio/SKILL.md
Included Skills3
Pick the right audio-DSP architecture for a described product by traversing the audio-DSP architecture decision tree (latency tolerance → processing model → time-vs-frequency domain → fixed-vs-float + denormals → platform/plugin format + audio I/O), then return the recommended processing model, latency & buffer-size budget, sample rate/bit depth, numeric strategy, algorithm approach (IIR/FIR/FFT-STFT, oversampling), framework + plugin format + audio backend, and the conditions that would flip the choice. Reach for this when the user asks "block or sample-by-sample?", "what latency/buffer size?", "JUCE + VST3/AU/CLAP or Web Audio?", "fixed-point or float?", or "IIR biquad vs FIR vs FFT for this effect?". Used by `audio-dsp-architect` (primary).
From an effect or product goal and its architecture, derive the signal-processing chain — the block diagram (stage order), the per-stage algorithm (IIR biquad / FIR / FFT-STFT / delay / dynamics), the per-stage and total latency, the sample rate and gain-staging/headroom, the oversampling plan for any nonlinearity, and the parameter list with smoothing needs — captured in the DSP design spec. Reach for this when the user asks "design the effect chain for this", "what order should these processors go in?", or "map out the DSP stages and their latency". Used by `dsp-implementation-engineer` and `audio-dsp-architect`.
Implement a DSP stage as real-time-safe code in the audio callback (no locks, no allocation, no syscalls, no unbounded work — everything pre-allocated at prepare time), handle denormals with flush-to-zero, pass parameters lock-free (atomic / SPSC FIFO) with per-sample smoothing, then optimize the profiled hot loop with SIMD (SSE/AVX/NEON/CMSIS-DSP) and verify with objective measurement (null test, THD+N, impulse/frequency response, RT-safety audit). Reach for this when the user asks "write the real-time-safe processBlock", "optimize this hot loop", "pass params without a data race", or "null-test / measure this effect". Used by `dsp-implementation-engineer` (primary).
Plugin manifests1
{
"name": "audio-dsp-engineering",
"version": "0.1.2",
"description": "Audio DSP engineering team — agents (audio-dsp-architect, dsp-implementation-engineer) for the layer answering 'what processing architecture, at what latency, on what platform — and how do we make the audio callback real-time-safe and fast?': processing model (block vs sample-by-sample), latency & buffer budget, fixed vs float + denormals, algorithm approach (IIR biquads / FIR, FFT/STFT overlap-add, oversampling/anti-aliasing), plugin formats & frameworks (JUCE, VST3, AU/AUv3, AAX, CLAP, LV2), audio I/O (CoreAudio, ASIO, WASAPI, ALSA/JACK, Web Audio), lock-free parameter passing, spatial/binaural (HRTF), embedded DSP (CMSIS-DSP), SIMD, and measurement (null tests, THD+N, frequency response). skills, a knowledge bank (decision tree + 2026 patterns), and templates. Distinct from streaming-media-engineering (codecs/delivery), conversational-ai-voice-engineering (voice AI agents), and embedded-iot-engineering (general firmware) — this is the real-time signal-processing layer. Needs ravenclaude-core.",
"author": {
"name": "Matt Corbett"
},
"homepage": "https://github.com/mcorbett51090/RavenClaude",
"license": "MIT",
"keywords": [
"audio-dsp",
"real-time-audio",
"juce",
"vst3",
"clap",
"biquad-filters",
"fft-stft",
"denormals",
"simd-neon",
"oversampling",
"spatial-audio",
"audio-plugins"
],
"requires": {
"plugins": [
"ravenclaude-core@>=0.7.0"
]
}
}For maintainers
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[audio-dsp-engineering on Agent Plugins Marketplace](https://pluginsmp.com/plugins/audio-dsp-engineering)