{"enrichment":{"faq":[{"a":"audio-analysis provides FFT-based tools to decompose audio signals into frequency components. Use the library's frequency extraction methods to obtain magnitude and phase data across the spectrum, enabling you to visualize spectral content and analyze audio characteristics for reactive effects and advanced processing workflows.","q":"How do I extract frequency data from audio with audio-analysis?"},{"a":"Yes, audio-analysis includes beat detection capabilities that identify audio energy peaks in real-time. By analyzing frequency bands and energy levels, the library helps you detect beat patterns and sync reactive visualizations to musical timing, making it ideal for audio-reactive applications.","q":"Can audio-analysis detect beats and audio energy peaks?"},{"a":"audio-analysis measures amplitude, RMS (root mean square), and volume levels in real-time. These measurements let you monitor audio intensity across time, supporting dynamic visualization updates and responsive audio processing based on current signal strength.","q":"What audio measurements does audio-analysis provide in real-time?"},{"a":"audio-analysis analyzes both waveform data and individual frequency bands to characterize audio content. By examining specific frequency ranges, you can detect bass, midrange, and treble components separately, enabling granular control over audio-reactive features and targeted frequency-based effects.","q":"How does audio-analysis handle waveform and frequency band analysis?"},{"a":"audio-analysis includes smoothing and normalization tools to stabilize audio data for consistent visualizations. These features reduce noise and fluctuations, ensuring smooth animations and reliable reactive effects even with variable input levels or noisy audio sources.","q":"Does audio-analysis smooth and normalize audio data for visualization?"},{"a":"audio-analysis is released under the MIT license, allowing free use, modification, and distribution in both open-source and commercial projects with minimal restrictions.","q":"What license does audio-analysis use?"}],"shadow_tags":["real-time-processing","frequency-domain","beat-sync","audio-reactive","signal-analysis","spectrum-visualization","energy-detection","time-domain"],"summary_rewrite":"audio-analysis provides tools to decompose audio signals into their frequency components using FFT algorithms, enabling detailed spectral visualization and analysis. Extract magnitude and phase data across the frequency spectrum to understand audio characteristics, detect patterns, and power advanced audio processing workflows."},"files":[{"bytes":10969,"path":"skills/audio-analysis/SKILL.md","sha256":"cd6ba6f3a3b01e9247c612e599e051b4b96d39e99efa47eb8ecd41a93638dd6b","url":"https://skillfed.io/files/Bbeierle12/Skill-MCP-Claude/audio-analysis/55a77101/SKILL.md"}],"id":"Bbeierle12/Skill-MCP-Claude/audio-analysis","links":{"html":"https://skillfed.io/Bbeierle12/Skill-MCP-Claude/audio-analysis","md":"https://skillfed.io/Bbeierle12/Skill-MCP-Claude/audio-analysis.md","repo":"https://github.com/Bbeierle12/Skill-MCP-Claude"},"meta":{"agents_supported":[],"first_seen":"2026-07-28","forks":3,"language":"JavaScript","last_updated":"2026-07-27","license":"MIT","name":"audio-analysis","publisher":"Bbeierle12","stars":8},"relations":{"similar":[{"id":"Bbeierle12/Skill-MCP-Claude/audio-reactive"},{"id":"Bbeierle12/Skill-MCP-Claude/audio-router"},{"id":"curiositech/some_claude_skills/2000s-visualization-expert"},{"id":"matlab/matlab-agentic-toolkit/matlab-analyze-ams-waveform"},{"id":"synthetic-sciences/openscience/clinical-imaging"},{"id":"tondevrel/scientific-agent-skills/scipy"},{"id":"matlab/matlab-agentic-toolkit/matlab-generate-ble-waveform"},{"id":"daffy0208/ai-dev-standards/audio-producer"},{"id":"synthetic-sciences/openscience/spectral-analysis"},{"id":"jaechang-hits/SciAgent-Skills/neuropixels-analysis"}]},"slug":{"owner":"Bbeierle12","repo":"Skill-MCP-Claude","skill":"audio-analysis"},"version":"55a77101"}