메뉴
Transcribe an audio file to a raw verbatim transcript using the gemini-transcription MCP server. Preserves every word including fillers. Use when the user asks for a raw transcript, verbatim transcription, or unedited text via Gemini.
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".
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 | transcribe-gemini-raw |
| description | Transcribe an audio file to a raw verbatim transcript using the gemini-transcription MCP server. Preserves every word including fillers. Use when the user asks for a raw transcript, verbatim transcription, or unedited text via Gemini. |
Produce a word-for-word transcript including fillers (ums, ahs, repetitions).
Call the gemini-transcription MCP tool transcribe_audio_raw (or transcribe_audio with style: "raw" / preset: "verbatim"). Check available presets first with list_transcription_presets.
Transcribe this audio verbatim. Include every word the speaker says, including filler words (um, uh, like), false starts, and repetitions. Do not paraphrase. Do not clean up grammar. Output plain text only, no speaker labels unless multiple speakers are clearly present.
Save to <source_stem>.raw.txt in the source directory (or user-specified path).
gemini-transcription MCP and point them at the server's docs.normalize-format skill first or splitting with ffmpeg.