au-review
Reviews AudioUnit v2/v3 plugin implementations for spec compliance, thread safety, and correctness. Use when the user asks to review an AudioUnit plugin, check…
Reviews audio DSP code for numerical correctness. Use when the user asks to review, audit, or check DSP code for correctness issues — filters, feedback loops, fixed-point arithmetic, accumulation loops, or any numeric computation in audio code. Trigger on "check this filter for
$ npx -y skills add kunitoki/sonic-skills --skill audio-numerics-review --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/audio-numerics-reviewContext preview
The summary Claude sees to decide when to auto-load this skill.
Reviews audio DSP code for numerical correctness. Use when the user asks to review, audit, or check DSP code for correctness issues — filters, feedback loops, fixed-point arithmetic, accumulation loops, or any numeric computation in audio code. Trigger on "check this filter for
name: audio-numerics-review description: > Reviews audio DSP code for numerical correctness. Use when the user asks to review, audit, or check DSP code for correctness issues — filters, feedback loops, fixed-point arithmetic, accumulation loops, or any numeric computation in audio code. Trigger on "check this filter for NaN", "why does my reverb blow up?", "is this numerically stable?", "why do I hear DC in my output?". Pairs with audio-dsp-review (realtime safety); this skill covers numeric correctness. Flag issues proactively.
Floating-point is not real math. IEEE 754 edge cases — denormals, NaN propagation, catastrophic cancellation, precision loss — silently produce wrong audio output without crashing. You won't find them with a debugger; you find them by knowing where to look.
Locate every function doing floating-point or integer DSP: filter state loops, feedback delay lines, envelope followers, RMS/energy accumulators, pitch detectors, fixed-point paths (CMSIS-DSP, SIMD int16/int32), any division whose denominator may be zero.
| Violation | Where to look | Symptom | |-----------|--------------|---------| | **Denormal floats** | IIR state vars, reverb tanks, delay feedback | Sudden 100× CPU spike when signal decays | | **NaN / Inf** | Divisions, `sqrt`, `acos`/`asin`, peak normalizers | Silence or noise that can't be traced | | **Catastrophic cancellation** | DC-blocking filters, near-Nyquist biquads, first-order diff | Noise floor jumps, loss of precision | | **Fixed-point overflow** | Q15/Q31 multiply, CMSIS paths, SIMD int16 | Audible distortion / wrapping | | **Precision loss** | RMS/energy sums, mixing buses, long loops | Accumulated DC offset, incorrect levels | | **FTZ/DAZ absent** | `prepareToPlay`/stream-open — no mode setup | Denormals hit on some hosts but not others |
For code examples and platform-specific notes see `references/numerics-pitfalls.md`.
## Audio Numerics Review: `[file / function]` ### Verdict [Safe | Has critical violations | Warnings only] — one sentence summary ### Critical Violations **[Category]: [description]** `file:line` — `offending code` Why: one sentence on the numeric risk Fix: concrete suggestion ### Warnings [same format] ### What's Done Well [guarded divisions, double accumulators, FTZ setup, etc.] ### Recommended Fixes (priority order) 1. ...
| Violation | Safe alternative | |-----------|-----------------| | Denormal in feedback | `ScopedNoDenormals`; FTZ+DAZ in `prepareToPlay`; DC-offset clamp | | Division by zero | `(denom > 1e-6f) ? num/denom : fallback` | | `sqrt`/`acos`/`asin` unclamped | `std::sqrt(std::max(0.f, x))`, `std::clamp` inputs | | NaN propagating silently | `assert(!std::isnan(y))` in debug; validate at entry points | | Cancellation in coefficients | Compute coefficients in `double`; use numerically stable forms | | Fixed-point overflow | Promote to wider type before multiply; `__SSAT`, CMSIS saturating ops | | Precision loss in long sum | `double` accumulator or Kahan compensated summation | | FTZ/DAZ absent | Set explicitly in `prepareToPlay`; use `ScopedNoDenormals` per-block |
Precision audio-engineering skills for AI agents. Sonic Skills is a curated pack of Markdown skills for reviewing, debugging, explaining, and implementing audio software.
Repo: kunitoki/sonic-skills
Reviews AudioUnit v2/v3 plugin implementations for spec compliance, thread safety, and correctness. Use when the user asks to review an AudioUnit plugin, check…
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Profiling strategy for audio CPU issues — xruns, spikes, and buffer underruns. Use when the user reports CPU overload, audio glitches under load, or…
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