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cli-and-io

cli-and-io

Use pyAudioAnalysis legacy command-line and audio I/O surfaces safely, including dependency probes, format handling, conversion side effects, and routing to API-focused workflows.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentación de la Skill

GitHub

name: cli-and-io description: "Use pyAudioAnalysis legacy command-line and audio I/O surfaces safely, including dependency probes, format handling, conversion side effects, and routing to API-focused workflows." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

cli-and-io

Use this sub-skill when the task is about safely invoking pyAudioAnalysis command-line behavior, checking whether an installation has the media dependencies needed for a requested audio format, or understanding side effects from conversion and plotting helpers.

Start here

  1. Check the installed package and legacy CLI shape with scripts/inspect_cli.py. It locates the installed pyAudioAnalysis package, compensates for legacy top-level imports, and prints subcommand help without running an analysis task.
  2. Check audio I/O readiness with scripts/audio_io_smoke.py. It synthesizes a tiny WAV, reads it through audioBasicIO, and reports optional media tools such as ffmpeg, avconv, eyed3, and pydub.
  3. For command selection, flags, execution patterns, and side effects, read references/cli-reference.md.
  4. For WAV/AIFF/MP3/AU/OGG behavior and conversion helpers, read references/audio-formats.md.
  5. For common failures and safe recovery patterns, read references/troubleshooting.md.

Route by intent

  • Stay in this sub-skill for: command construction, shell quoting, dependency probes, format support, conversion-output risk, headless plotting concerns, and legacy script invocation.
  • Route feature extraction, spectrogram/chromagram computation, beat features, and visualization interpretation to the feature/visualization-focused sibling selected by the root skill.
  • Route classifier or regression training and inference details to the model-training/classification-focused sibling selected by the root skill.
  • Route segmentation, HMM, diarization, silence removal, and thumbnail algorithm details to the segmentation-focused sibling selected by the root skill.
  • Treat maintainer shell tests that require large external datasets as reference-only signals; do not use them as direct runtime instructions.

Guardrails

  • pyAudioAnalysis 0.3.14 has no installed console-script entry point for audioAnalysis.py; use the legacy script execution pattern in references/cli-reference.md instead of assuming pyAudioAnalysis ... exists.
  • Do not run python -m pyAudioAnalysis.audioAnalysis for the legacy CLI. The module uses top-level imports such as ShortTermFeatures, so module execution commonly raises ModuleNotFoundError unless the package directory itself is on sys.path.
  • Run conversion and segmentation-writing commands only on scratch copies or explicit output locations. Several helpers write next to inputs or delete/recreate output folders.
  • Expect plotting or browser-opening side effects from spectrogram/chromagram, feature visualization, diarization, thumbnailing, regression folder plots, and some model-evaluation paths.
Skills guardadas