メニュー
Transcribes lectures, talks, and presentations faithfully, surfacing main points only when clearly spoken. Use when expected_format is "lecture" or the audio is a class, keynote, seminar, or single-presenter talk.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
Generates two Gemini candidates (primary plus an automatically chosen secondary model) so the judge can cross-check disagreements. Use when accuracy matters more than latency or cost.
Runs a primary Gemini candidate alongside a Parakeet ASR candidate so the judge can cross-check timing-sensitive transcripts. Use when word-level timestamp precision matters or Gemini timestamps alone are unreliable.
Generates a single Gemini transcription candidate. Use as the fastest, lowest-cost strategy when one strong model pass is sufficient.
Transcribes interviews and Q&A sessions faithfully with speaker turns exactly as spoken. Use when expected_format is "interview" or the audio is a one-on-one interview, journalist Q&A, or research session.
Transcribes legal proceedings, depositions, and hearings preserving exact wording, legal terminology, and attribution. Use when expected_format is "legal" or the audio is a deposition, court hearing, or legal consultation.
Transcribes clinical audio (consults, dictations, rounds) preserving exact medical terminology, drug names, dosages, and speaker attribution without adding interpretation. Use when expected_format is "medical" or the audio is a doctor-patient encounter, clinical dictation, or discusses medication, diagnosis, or pharmacology.
SOC 職業分類に基づく
| name | transcribing-lecture |
| description | Transcribes lectures, talks, and presentations faithfully, surfacing main points only when clearly spoken. Use when expected_format is "lecture" or the audio is a class, keynote, seminar, or single-presenter talk. |
| metadata | {"kind":"format","formats":"lecture","version":"1.0.0"} |
Preserve the lecture transcript faithfully and surface main points only when they are clearly spoken. Do not turn the audio into a different document type (such as notes or an outline); keep the output transcript-first and faithful to the spoken content.
