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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.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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".
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.
Mine a transcript for durable personal context — facts about the speaker (location, role, projects, preferences, relationships, ongoing work) — and write them to a context file for later reuse. De-duplicates against existing context so the same facts aren't re-extracted on every memo. Use when the user wants to build a knowledge base from voice memos, or asks to "pull out context from this".
| name | denoise |
| description | 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. |
Reduce background noise in a speech recording.
If the goal is transcription, denoising is usually not necessary. POC at https://github.com/danielrosehill/Crying-Baby-Audio-Scrub showed Whisper handles moderate background noise (e.g. baby crying) without preprocessing — the cleaned and uncleaned transcripts differed by only 5–6 word choices over 119 seconds.
Reach for this skill when:
For mild/moderate noise prepping for transcription, skip this skill — go directly
to preprocess-for-transcription and then transcribe.
Read ~/.config/claude-transcription/config.json for denoise_provider and prefer_local. If config missing, default to Auphonic (cheapest cloud option).
User may override per-invocation: "denoise with elevenlabs", "use deepfilternet", "local denoise".
Auphonic (default — ~$0.15/hr equivalent)
https://auphonic.com/api//simple/productions.json with input_file, preset, or direct algorithm flags (denoise=true)AUPHONIC_API_KEYElevenLabs Voice Isolator
https://api.elevenlabs.io/v1/audio-isolationELEVENLABS_API_KEYDolby.io Media Enhance
https://api.dolby.com/media/enhanceDOLBY_API_KEY and an input URL (upload to Dolby temp storage first)DeepFilterNet (ML, CPU-efficient)
uv tool install deepfilternet or pipx install deepfilternetdeepFilter <input.wav> -o <output.wav>ffmpeg afftdn (non-ML, instant)
ffmpeg -i input.wav -af afftdn=nf=-25 output.wavWrite to <source_stem>.denoised.<ext> in the same directory as source, unless user specifies a path.
/configure.ffmpeg missing → tell user to install it.