🎚️ Audio Processing AI Skills

Generate AI music with Producer via AceDataCloud API. Use when creating songs, generating lyrics, extending tracks, creating covers, swapping vocals/instrumentals, replacing song sections, or uploading reference audio. Supports custom lyrics, instrumental-only mode, and multiple creative actions.

把 YouTube 视频变成中文音频播客：NotebookLM Audio Overview 生成、ffmpeg 转码，再上传小宇宙（上传即进入平台审核，通过后自动上线；可用 --hold-upload 在上传前停下）；完成后回推一条结果通知。用户从微信/聊天里发来 YouTube 链接时使用。

Download podcast audio from RSS feeds and transcribe to text using AuralWise API. This skill should be used when the user wants to download podcast episodes, convert podcast audio to text transcripts, or batch-process a podcast library for searchable content. Triggers include downloading podcasts, podcast transcription, audio-to-text conversion, RSS feed downloading, or any request involving podcast audio acquisition and speech-to-text conversion. Covers RSS feed discovery, audio downloading, AuralWise API transcription, and AI-generated content overviews with book references, key concepts, and searchable keywords.

Telegram voice-to-voice for macOS Apple Silicon: transcribe inbound .ogg voice notes with yap (Speech.framework) and reply with Telegram voice notes via say+ffmpeg. Not compatible with Linux/Windows.

Reduce noise, hiss, and static in a speech recording with Yaps. Save a separate clean file. New users: install Yaps and sign in.

High-quality voice synthesis with 18 personas, 32 languages, sound effects, batch processing, and voice design using ElevenLabs API.

Analyzes audio recording quality - echo detection, loudness, speech intelligibility, SNR, and spectral analysis. Use when the user wants to check a recording's quality, detect echo or duplication, measure speech clarity, compare original vs processed audio, or diagnose why a recording sounds bad, including tracks from Blackbox or any call recording app.

Suno music generation model. Supports inspiration mode (auto lyrics) and custom mode (manual lyrics), generating music with or without vocals. Suno 音乐生成模型。支持灵感模式（自动作词）和自定义模式（手动填词），可生成包含人声或纯器乐的音乐。

Speaker separation, voice comparison, and audio processing tools. Use when working with multi-speaker audio, voice cloning, or speaker verification tasks inc...

Local text-to-speech using macOS `say` + ffmpeg for Telegram/Matrix voice messages

Local speech-to-text with NVIDIA Parakeet TDT 0.6B v3 (ONNX on CPU). 30x faster than Whisper, 25 languages, auto-detection, OpenAI-compatible API. Use when transcribing audio files, converting speech to text, or processing voice recordings locally without cloud APIs.

Transcribe, diarise, translate, post-process, and structure audio/video with AssemblyAI. Use this skill when the user wants AssemblyAI specifically, needs hi...

Build, adapt, or run an audio-processing workflow that takes spoken audio, transcribes it with Whisper or faster-whisper, translates the transcript using the...

Wires a real microphone through an AI brain (STT → LLM → TTS) and routes the output to a virtual audio cable so apps like Google Meet hear the processed voic...

Handles voice-to-voice conversations on WhatsApp. Automatically transcribes incoming audio and responds with local TTS audio. Use when the user wants to "talk" instead of type.

ElevenLabs API integration with managed authentication. AI-powered text-to-speech, voice cloning, sound effects, and audio processing. Use this skill when users want to generate speech from text, clone voices, create sound effects, or process audio. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway). Calls run through the `maton` CLI with OAuth login, or over raw HTTP with a Maton API key where the CLI cannot be installed. Every call is authenticated as the user's connection and reaches only what that connection's authorization allows, which the provider enforces on every request; the endpoints documented here are the ones this skill uses, and any other endpoint of this app needs the user to ask for it by name. Default to read and list calls, and confirm every write or new connection with the user. This file also documents the three constructs that turn an ElevenLabs connection into automation, in the order they are used: the connection (the first step), a hosted function that runs an ElevenLabs action through the Maton SDK, and a trigger that calls that function on a schedule or on an event. Those sections are the platform's own reference text, shared with the api-gateway skill, with ElevenLabs examples; they add no ElevenLabs capability - ElevenLabs is not an event source, a trigger cannot read ElevenLabs data, and the files under `references/<source>/triggers.md` are the platform's event catalogues for the sources Maton offers (time, Calendly, GitHub, Gmail, HubSpot, Linear, Notion, Slack, Stripe).

Enables voice synthesis, voice cloning, voice design, and audio post-processing using MiniMax Voice API and FFmpeg. Use when converting text to speech, creat...

🎵 音视频格式转换与处理工具箱。基于 FFmpeg + Whisper AI，支持：格式转换、视频提取音频、合并、分割、压缩、查看信息、音频转文字。

当用户想要**一键批量从音频文件中提取超干净纯人声（干声 / Vocals Only）**、去除伴奏/背景音乐时，自动调用此技能。 一键音频人声分离工具。专门从音频文件（.mp3/.wav/.flac等）中提取超干净干声（Acapella）或去除背景音制作伴奏。 核心用途：支持单个音频文件或整个文件夹批量处理（.mp3/.wav/.flac 等格式），输出高质量无杂音干声，自动在输入同级创建 [输入文件夹]_vocals 文件夹，完美保留原目录结构。 高频触发场景包括： - 翻唱练习、翻唱视频制作、B站/抖音/小红书演唱素材清洗 - 卡拉OK 伴奏制作（只保留人声） - 音乐制作中的人声分

Convert voice notes, humming, and melodic audio recordings to quantized MIDI files using ML-based pitch detection and intelligent post-processing

Use when converting voice recordings, voice memos, or speech transcripts into structured Markdown notes, setting up recording-folder monitoring, or processing pending transcription files.

Transcribe audio files to text using OpenAI Whisper. Supports speech-to-text with auto language detection, multiple output formats (txt, srt, vtt, json), batch processing, and model selection (tiny to large). Use when transcribing audio recordings, podcasts, voice messages, lectures, meetings, or any audio/video file to text. Handles mp3, wav, m4a, ogg, flac, webm, opus, aac formats.

Use AudioPod AI's API for audio processing tasks including AI music generation (text-to-music, text-to-rap, instrumentals, samples, vocals), stem separation, text-to-speech, noise reduction, speech-to-text transcription, speaker separation, and media extraction. Use when the user needs to generate music/songs/rap from text, split a song into stems/vocals/instruments, generate speech from text, clean up noisy audio, transcribe audio/video, or extract audio from YouTube/URLs. Requires AUDIOPOD_API_KEY env var or pass api_key directly.

根据病程记录生成诊疗经过。输入病程记录文本，调用内部医疗大模型，输出结构化诊疗经过文本。