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Convert audio to a transcription-friendly format — stereo to mono, resample to 16kHz, compress WAV to opus or mp3, reduce bitrate. Use when the user asks to normalize audio format, downmix, resample, compress, or prepare audio for transcription.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Export a transcript (or any pipeline output) by emailing it, uploading to Google Drive, or copying to clipboard. Use when the user asks to send, email, upload, save to Drive, or copy a transcript.
Transcribe a podcast episode and produce two outputs in one pass — (1) the raw API transcript exactly as the provider returned it, and (2) a podcast-formatted reading version with filler words removed, section headers added, and speaker labels preserved. Use whenever the user provides a podcast audio file or says "transcribe this podcast".
Diagnose-and-treat workflow for very messy recordings where the standard preprocessor isn't enough. Generates a spectrogram, identifies problematic frequency bands (AC hum, rumble, narrow-band whines, broadband hiss, clipping), and proposes targeted ffmpeg filters. ONLY use when the user explicitly invokes it — the normal pipeline runs `preprocess-for-transcription` directly and skips diagnostic work. Trigger phrases the user might use — "this audio is messy", "transcription failed because of noise", "fix this rough recording", "the audio is bad and the transcript is garbage".
Remove background noise from an audio file. Cloud providers (Auphonic default, ElevenLabs, Dolby.io) or local (DeepFilterNet ML, ffmpeg afftdn non-ML). Use when the user asks to denoise, clean up noise, remove hum/hiss, or enhance speech audio before transcription.
Prepare audio for transcription — format normalise (mono/16kHz/opus), loudness normalise (EBU R128), and collapse long silences (silero-vad). Optional denoise pass. Use before sending to AssemblyAI or any ASR for cleaner results, smaller uploads, and lower cost. Use when the user asks to "preprocess audio", "prep for transcription", "clean up a recording before sending it", or just hands over a raw voice memo to be transcribed.
Apply a stylistic / formatting transformation to a transcript using a named prompt from the user's Text-Transformation-Prompt-Library (206 transformations covering blog outlines, briefs, business correspondence, analysis documents, meeting notes, and more). Use when the user asks to "convert this to <style>", "format like a <type>", or names a specific transformation. Fetches the catalog on demand and caches it; never commits the prompts into this plugin.
| name | normalize-format |
| description | Convert audio to a transcription-friendly format — stereo to mono, resample to 16kHz, compress WAV to opus or mp3, reduce bitrate. Use when the user asks to normalize audio format, downmix, resample, compress, or prepare audio for transcription. |
Standardize audio for transcription pipelines. Transcription engines generally work best at 16kHz mono, and compressed formats (opus) are faster to upload without quality loss for speech.
ffmpeg -i INPUT -ac 1 -ar 16000 -c:a libopus -b:a 24k OUTPUT.opus
-ac 1 → mono-ar 16000 → 16 kHz sample ratelibopus @ 24k → excellent speech quality at ~11 MB/hr-ac 1 -ar 16000 -c:a pcm_s16le OUTPUT.wav-ac 1 -ar 16000 -c:a libmp3lame -b:a 32k OUTPUT.mp3-ar<source_stem>.normalized.<ext>
User may specify:
opus/mp3/wav)--stereo)--keep-sr)