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Frequency-domain and signal-processing skill; use when working on Fourier, spectral, or resonance analysis.
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Basierend auf der SOC-Berufsklassifikation
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| name | frequency |
| description | Frequency-domain and signal-processing skill; use when working on Fourier, spectral, or resonance analysis. |
Domain: trinity | Depth: axiom
| Name | Hz range | Domain |
|---|---|---|
| Delta | 0.5–4 Hz | Deep sleep, healing |
| Theta | 4–8 Hz | Meditation, creativity |
| Alpha | 8–14 Hz | Relaxed focus |
| Beta | 14–30 Hz | Active thinking |
| Gamma | 30–100 Hz | Higher cognition |
| Schumann | 7.83 Hz | Earth resonance |
| Solfeggio | 174–963 Hz | Sacred tones |
| Library | Purpose |
|---|---|
| numpy | FFT and signal arrays |
| scipy | Wavelet, signal processing |
| matplotlib | Spectrum visualization |
agents/skills/frequency.py
fft_spectrum(signal, sample_rate) — frequency spectrumsynthesize(frequencies, amplitudes, duration, sr) — build waveformsolfeggio() — dict of all solfeggio frequenciesbrainwave_bands() — frequency band definitionsschumann_resonances() — first 7 Schumann harmonicswavelet_transform(signal) — continuous wavelet transform