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---
name: audio
slug: audio
version: 1.0.1
description: Process, enhance, and convert audio files with noise removal, normalization, format conversion, transcription, and podcast workflows.
changelog: Declare required binaries (ffmpeg, ffprobe), add requirements section with optional deps, add explicit scope
metadata: {"clawdbot":{"emoji":"π","requires":{"bins":["ffmpeg","ffprobe"]},"os":["linux","darwin","win32"]}}
---
## Requirements
**Required:**
- `ffmpeg` / `ffprobe` β core audio processing
**Optional (for advanced features):**
- `sox` β additional noise reduction
- `whisper` β local transcription (or use API)
- `demucs` β 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 β text, SRT, VTT |
| Separate stems | Demucs (vocals, drums, bass, other) |
## Execution Pattern
1. **Clarify goal** β What format? What loudness? What platform?
2. **Analyze source** β `ffprobe` for codec, sample rate, channels, duration
3. **Process** β FFmpeg/SoX for transformation
4. **Verify** β Check output plays, meets specs, sounds correct
5. **Deliver** β Provide file to user
## Common Requests β 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 β 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)
---
name: audio
slug: audio
version: 1.0.1
description: Process, enhance, and convert audio files with noise removal, normalization, format conversion, transcription, and podcast workflows.
changelog: Declare required binaries (ffmpeg, ffprobe), add requirements section with optional deps, add explicit scope
metadata: {"clawdbot":{"emoji":"π","requires":{"bins":["ffmpeg","ffprobe"]},"os":["linux","darwin","win32"]}}
---
## Requirements
**Required:**
- `ffmpeg` / `ffprobe` β core audio processing
**Optional (for advanced features):**
- `sox` β additional noise reduction
- `whisper` β local transcription (or use API)
- `demucs` β 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 β text, SRT, VTT |
| Separate stems | Demucs (vocals, drums, bass, other) |
## Execution Pattern
1. **Clarify goal** β What format? What loudness? What platform?
2. **Analyze source** β `ffprobe` for codec, sample rate, channels, duration
3. **Process** β FFmpeg/SoX for transformation
4. **Verify** β Check output plays, meets specs, sounds correct
5. **Deliver** β Provide file to user
## Common Requests β 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 β 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)
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.