🤖
Audio
Process, enhance, and convert audio files with noise removal, normalization, format conversion, transcription, and podcast workflows.
安全通过
💬Prompt
技能说明
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":"🔊","requires":{"bins":["ffmpeg","ffprobe"]},"os":["linux","darwin","win32"]}}
Requirements
Required:
ffmpeg/ffprobe— core audio processing
Optional (for advanced features):
sox— additional noise reductionwhisper— 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
- Clarify goal — What format? What loudness? What platform?
- Analyze source —
ffprobefor codec, sample rate, channels, duration - Process — FFmpeg/SoX for transformation
- Verify — Check output plays, meets specs, sounds correct
- 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)
如何使用「Audio」？
- 打开小龙虾AI（Web 或 iOS App）
- 点击上方「立即使用」按钮，或在对话框中输入任务描述
- 小龙虾AI 会自动匹配并调用「Audio」技能完成任务
- 结果即时呈现，支持继续对话优化