scbe-audio-intent
Encode and decode intent values as phase-modulated audio waveforms using FFT-based demodulation. Use when working with the audio intent layer, phase encoding/recovery, or the symphonic cipher carrier signal.
Best use case
scbe-audio-intent is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Encode and decode intent values as phase-modulated audio waveforms using FFT-based demodulation. Use when working with the audio intent layer, phase encoding/recovery, or the symphonic cipher carrier signal.
Teams using scbe-audio-intent should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/scbe-audio-intent/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How scbe-audio-intent Compares
| Feature / Agent | scbe-audio-intent | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Encode and decode intent values as phase-modulated audio waveforms using FFT-based demodulation. Use when working with the audio intent layer, phase encoding/recovery, or the symphonic cipher carrier signal.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# SCBE Audio Intent Use this skill for phase-modulated intent encoding and decoding in the SCBE-AETHERMOORE audio layer. ## Core Mechanism Intent values ∈ [0, 1] are encoded as phase offsets on a carrier frequency, then recovered via FFT peak analysis. ### Encoding (Phase Modulation) ``` wave(t) = cos(2π · f_carrier · t + 2π · intent) + noise ``` - f_carrier = 440 Hz (A4) - Sample rate = 44100 Hz - Duration = 0.5 seconds - Gaussian noise σ = 0.1 added for transmission simulation ### Decoding (FFT Demodulation) 1. Compute FFT of received waveform. 2. Find peak index in positive-frequency half. 3. Extract phase angle at peak: `angle(FFT[peak_idx])`. 4. Normalize: `intent_recovered = (phase mod 2π) / 2π`. ## Audio Constants | Name | Value | Purpose | |---------------|--------|------------------------| | CARRIER_FREQ | 440.0 | Base carrier (Hz) | | SAMPLE_RATE | 44100 | Samples per second | | DURATION | 0.5 | Waveform length (sec) | ## Workflow 1. Accept intent value ∈ [0, 1]. 2. Generate time vector: `linspace(0, DURATION, SAMPLE_RATE * DURATION)`. 3. Produce carrier with phase offset: `cos(2π·440·t + 2π·intent)`. 4. Add Gaussian noise. 5. To recover: FFT → peak detection → phase extraction → normalize. ## Accuracy Considerations - Phase recovery is approximate due to noise and FFT bin resolution. - For governance decisions, the recovered intent is compared against known target (e.g., 0.75) with tolerance ±0.1. - Higher sample rates or longer durations improve phase resolution. ## Integration Points - The recovered intent feeds into the coherence check in `governance_9d`. - Coherence is HIGH (0.95) when `|intent - 0.75| < 0.1`, LOW (0.4) otherwise. - The audio layer provides a physical-channel encoding for the v2 (Intent Phase) component. ## Guardrails 1. Intent must be clamped to [0, 1] before encoding. 2. Only use positive-frequency half of FFT for peak detection. 3. Phase normalization must use modulo 2π before dividing. 4. Noise level (σ=0.1) is fixed for reproducibility; do not increase without testing recovery accuracy.
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