analyzing-wav
Analyze WAV audio files for debugging TTS and audio pipelines. Use when checking audio quality, validating WAV format, inspecting waveform patterns, or diagnosing generated speech issues.
npx skills add majiayu000/claude-skill-registry --skill analyzing-wav --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.
# WAV Audio Analysis Skill ## Description Analyze WAV audio files to debug audio generation pipelines. Provides statistical analysis, format validation, and quality metrics for diagnosing issues with generated speech. **Triggers:** wav, audio, waveform, samples, amplitude, audio analysis, sound quality, audio debug ## Analysis Capabilities ### Basic Statistics - Sample count and duration - Min/max amplitude - Standard deviation (expected ~3000-8000 for speech) - Near-silent sample percentage ### Quality Indicators - Zero crossing rate (speech typically 50-200 per 1000 samples) - Clipping detection (samples at ±32767) - NaN/Inf detection (if processing raw floats) - DC offset analysis ### Format Validation - Sample rate verification (24kHz for Qwen3-Omni TTS) - Bit depth check - Channel count - RIFF header validation ## Usage To analyze a WAV file, provide the path and I'll run comprehensive diagnostics: ```python import numpy as np with open("audio.wav", "rb") as f: header = f.read(44) data = f.read() samples = np.frombuffer(data, dtype=np.int16) print(f"Samples: {len(samples)}") print(f"Duration: {len(samples)/24000:.2f} sec") print(f"Min/Max: {samples.min()} / {samples.max()}") p
- Description
- Analysis Capabilities
- Basic Statistics
- Quality Indicators
- Format Validation
- Usage
- Typical Values for Good Speech Audio
- Common Issues
- 99% Near-Silent
- Low Std Dev (<1000)
- Constant Value Runs
- Clipping (values at ±32767)
What does the analyzing-wav skill do?
Analyze WAV audio files for debugging TTS and audio pipelines. Use when checking audio quality, validating WAV format, inspecting waveform patterns, or diagnosing generated speech issues.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill analyzing-wav --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.