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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 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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.
