Audio

SKILL.md

Requirements

Required:

  • ffmpeg / ffprobe — core audio processing

Optional (for advanced features):

  • sox — additional noise reduction
  • whisper — local transcription (or use API)
  • demucs — stem separation

Quick Reference

Situation Load
FFmpeg commands by task commands.md
Loudness standards by platform loudness.md
Podcast production workflow podcast.md
Transcription workflow transcription.md

Core Capabilities

Task Method
Convert formats FFmpeg (-acodec)
Remove noise FFmpeg filters or SoX
Normalize loudness ffmpeg-normalize or -af loudnorm
Transcribe Whisper → text, SRT, VTT
Separate stems Demucs (vocals, drums, bass, other)

Execution Pattern

  1. Clarify goal — What format? What loudness? What platform?
  2. Analyze sourceffprobe for codec, sample rate, channels, duration
  3. Process — FFmpeg/SoX for transformation
  4. Verify — Check output plays, meets specs, sounds correct
  5. Deliver — Provide file to user

Common Requests → Actions

User says Agent does
"Convert to MP3" -acodec libmp3lame -q:a 2
"Remove background noise" Apply highpass/lowpass or dedicated denoiser
"Normalize for podcast" -af loudnorm=I=-16:TP=-1.5:LRA=11
"Transcribe this" Whisper → output SRT/VTT/TXT
"Extract audio from video" -vn -acodec copy or re-encode
"Make it smaller" Lower bitrate: -b:a 128k or -b:a 96k
"Speed up 1.5x" -af atempo=1.5

Format Quick Reference

Format Use Case Quality
WAV Master, editing Lossless
FLAC Archive, audiophile Lossless compressed
MP3 Universal sharing Lossy, 128-320 kbps
AAC/M4A Apple, podcasts Lossy, efficient
OGG/Opus WhatsApp, Discord Lossy, very efficient

Quality Defaults

  • Podcast: -16 LUFS (Spotify), -19 LUFS (Apple)
  • Music: -14 LUFS (Spotify), -16 LUFS (Apple Music)
  • MP3 quality: VBR -q:a 2 (~190 kbps) or CBR -b:a 192k
  • Sample rate: 44.1kHz for music, 48kHz for video sync

Scope

This skill:

  • Processes audio files user explicitly provides
  • Runs FFmpeg commands on user request
  • Does NOT access cloud services without user knowing
  • Does NOT store files persistently (user manages their files)
Weekly Installs
1
Repository
openclaw/skills
GitHub Stars
3.7K
First Seen
Mar 1, 2026
Installed on
crush1
amp1
cline1
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cursor1
kimi-cli1