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Transcribes technical talks and engineering discussions, preserving technical details, code snippets, and specifications exactly as spoken. Use when expected_format is "technical" or the audio discusses software, APIs, code, or system architecture.
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。
SOC 職業分類に基づく
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 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.
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.
| name | transcribing-technical |
| description | Transcribes technical talks and engineering discussions, preserving technical details, code snippets, and specifications exactly as spoken. Use when expected_format is "technical" or the audio discusses software, APIs, code, or system architecture. |
| metadata | {"kind":"format","formats":"technical","version":"1.0.0"} |
Preserve technical details, code snippets, and specifications exactly as spoken. Do not turn the audio into a different document type; keep the output transcript-first and faithful to the spoken content.
