audio-analysis
Audio analysis with Tone.js and Web Audio API including FFT, frequency data extraction, amplitude measurement, and waveform analysis. Use when extracting audio data for visualizations, beat detection, or any audio-reactive features.
npx skills add majiayu000/claude-skill-registry --skill audio-analysis-bbeierle12-skill-mcp-claude-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Audio Analysis FFT, frequency extraction, and audio data analysis. ## Quick Start ```javascript import * as Tone from 'tone'; // Create analyzer const analyser = new Tone.Analyser('fft', 256); const player = new Tone.Player('/audio/music.mp3'); player.connect(analyser); player.toDestination(); // Get frequency data const frequencyData = analyser.getValue(); // Float32Array ``` ## Analyzer Types ### FFT Analyzer ```javascript // FFT (Fast Fourier Transform) - frequency spectrum const fftAnalyser = new Tone.Analyser({ type: 'fft', size: 256, // Must be power of 2: 32, 64, 128, 256, 512, 1024, 2048 smoothing: 0.8 // 0-1, higher = smoother transitions }); // Returns Float32Array of dB values (typically -100 to 0) const fftData = fftAnalyser.getValue(); ``` ### Waveform Analyzer ```javascript // Waveform - time domain data const waveformAnalyser = new Tone.Analyser({ type: 'waveform', size: 1024 }); // Returns Float32Array of amplitude values (-1 to 1) const waveformData = waveformAnalyser.getValue(); ``` ### Meter (Volume Level) ```javascript // Meter - overall volume level const meter = new Tone.Meter({ smoothing: 0.9, normalRange: false // true for 0-1, false for dB }); player.conn
- Quick Start
- Analyzer Types
- FFT Analyzer
- Waveform Analyzer
- Meter (Volume Level)
- FFT Size Impact
- Frequency Bands
- Manual Band Extraction
- Normalized Band Values
- Beat Detection
- Simple Peak Detection
- Energy History Beat Detection
- Amplitude Analysis
- RMS (Root Mean Square)
What does the audio-analysis skill do?
Audio analysis with Tone.js and Web Audio API including FFT, frequency data extraction, amplitude measurement, and waveform analysis. Use when extracting audio data for visualizations, beat detection, or any audio-reactive features.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill audio-analysis-bbeierle12-skill-mcp-claude-2 --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 majiayu000/claude-skill-registry, a repository with 534 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.