菜单
Analyze WAV audio files for debugging TTS and audio pipelines. Use when inspecting sample rate, bit depth, channels, PCM values, waveform, or spectrogram of a WAV; validating WAV headers and format; comparing duration or amplitude between audio files; or diagnosing clipping, distortion, silence, and generated speech issues.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
Sync this Claude Code config against new release notes — find config features added since the pinned baseline that this config should adopt. Use when Claude Code has been updated, when the user asks what's new / what changed / whether to adopt new settings or hooks, after a version bump, or when checking config currency against the latest release. Reports adoptable settings/hooks/env-vars/permissions as a risk-tiered proposal, then bumps the baseline. Do NOT use for auditing existing config quality, debugging hooks, or organizing rules — that is `maintaining-claude-code`.
Monitor and watch GitHub Actions CI/CD pipeline runs in real time. Use when the user has pushed code and wants to watch the build, check CI status, see if tests passed, monitor a pipeline, or wait for a workflow run to complete. Also use after any `jj git push` or `git push` command. Reports pass/fail with failed job logs. Do NOT use for writing or editing CI workflow YAML files, optimizing CI config, or debugging CI configuration — only for monitoring active runs.
Reorganize and clean up messy commit history on a feature branch into logical, reviewable commits. Use when cleaning up commits, preparing a branch for review, separating formatting from logic changes, fixing broken intermediate states, or squashing WIP commits.
Audit and improve Claude Code hooks, rules, and settings.json. Use when adding/debugging a hook, organizing rules, auditing settings.json (permissions, env vars, stale flags), or deciding between hook vs skill vs rule vs CLAUDE.md. For SKILL.md authoring use the skill-creator plugin; for CLAUDE.md audits use the claude-md-improver plugin.
Execute a structured test plan and emit a concise results document (JSON + Markdown). Use when running test plans, executing QA workflows, verifying acceptance criteria systematically, or producing test results documentation.
Search past Claude Code sessions to recall prior solutions, commands, fixes, and decisions. Use when the user references earlier work ("how did I fix", "last time we", "pick up where we left off", "a few months ago", "what was that … I set up", "didn't I once").
| name | analyzing-wav |
| description | Analyze WAV audio files for debugging TTS and audio pipelines. Use when inspecting sample rate, bit depth, channels, PCM values, waveform, or spectrogram of a WAV; validating WAV headers and format; comparing duration or amplitude between audio files; or diagnosing clipping, distortion, silence, and generated speech issues. |
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
To analyze a WAV file, provide the path and I'll run comprehensive diagnostics:
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()}")
print(f"Std dev: {np.std(samples):.1f}")
# Quality check
near_silent = np.sum(np.abs(samples) < 100)
print(f"Near-silent: {100*near_silent/len(samples):.1f}%")
# Zero crossings (voice activity indicator)
if len(samples) > 1000:
zc = np.sum(np.diff(np.sign(samples[:1000])) != 0)
print(f"Zero crossings (first 1000): {zc}")
| Metric | Expected Range | Meaning |
|---|---|---|
| Std dev | 3000-8000 | Audio energy level |
| Near-silent | <5% | Minimal silent padding |
| Zero crossings | 50-200/1000 | Voice frequency activity |
| Min/Max | ±20000-32000 | Healthy amplitude range |