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audio

Process, enhance, and convert audio files with noise removal, normalization, format conversion, transcription, and podcast workflows.

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Jinhong270/AI-Agent
Última actividad en el origen
29 de junio de 2026 a las 12:28
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SKILL.md
Instrucciones de origen · Vista previa de solo lectura
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":"[Truncated]"},"os":["linux","darwin","win32"]}}
## 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 source** — `ffprobe` 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)
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