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inspector-audio - Inspector Audio Subsystem: Bucket, Streaming, Peaks & Frontend Playback

Manages the full audio pipeline from offline extraction and bucket storage through CDN streaming, segment clipping, peaks generation, to browser-side <audio> playback.

Tags

Updated: 2026-06-30

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • resolve audio source across three tiers
  • stream CDN audio same-origin
  • proxy chapter MP3 audio
  • generate segment clips via ffmpeg
  • serve slim int8 peak envelopes
  • serve audio metadata for dashboard
  • extract audio offline via Katana
  • upload audio and peaks to bucket
  • reconcile reciter audio via auto_detect
  • inject Xing TOC for VBR audio
  • pack and unpack slim peak envelopes
  • render audio via AudioPort in browser

Inputs

  • Reciter slug
  • Chapter audio URLs from CDN catalog
  • Audio manifest JSON
  • Bucket storage (NFS mount or CDN)
  • Contributor source links
  • ffmpeg binary
  • Audio MP3 files

Outputs

  • HTTP 200/206 audio stream responses
  • Re-encoded segment clips
  • Compressed int8 peak envelope files
  • Dashboard audio metadata (URL, duration)
  • Bucket content under reciters/<slug>/
  • Reciter state transition to AWAITING_REVIEW

Requirements

  • ffmpeg compiled with OpenSSL and protocol support
  • Python runtime (inspector app or gunicorn)
  • Bucket storage accessible via NFS mount or CDN
  • Browser with Web Audio API support
  • HTTP Range request support for audio streaming

Source

  • Spec: SKILL.md

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audio
CDN streaming
bucket storage
peaks
VBR
ffmpeg
AudioPort
extraction pipeline
reciter
audio proxy
resolve audio source across three tiers
stream CDN audio same-origin
proxy chapter MP3 audio
generate segment clips via ffmpeg
Reciter slug
Chapter audio URLs from CDN catalog
Audio manifest JSON
HTTP 200/206 audio stream responses
Re-encoded segment clips
Compressed int8 peak envelope files