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Transcribe video and audio files via Gemini API. Use when the user asks to transcribe a recording, generate a meeting summary, extract speech from video or audio, or convert speech to text. Supports mp4, mkv, webm, avi, mov, mp3, wav, ogg, m4a, flac.
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/comol/ai_rules_1c --skill transcribe명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
SOC 직업 분류 기준
| name | transcribe |
| description | Transcribe video and audio files via Gemini API. Use when the user asks to transcribe a recording, generate a meeting summary, extract speech from video or audio, or convert speech to text. Supports mp4, mkv, webm, avi, mov, mp3, wav, ogg, m4a, flac. |
Transcribes audio and video files via the Gemini 2.5 Flash API.
Verbatim speech transcription with timecodes [MM:SS] and speaker identification.
Output files:
<name> - transcript.md — verbatim speech with timecodes<name> - summary.md — short summary (with the --with-summary flag)--analyze-ui, video only)Detailed video analysis with breakdown of on-screen interface, navigation, and actions, plus screenshots.
Output files:
<name> - summary.md — short overview (topic, participants, decisions)<name> - detailed.md — step-by-step chronological analysis with screen content and screenshots<name> - transcript.md — verbatim speech with timecodesscreenshots/ — PNG frames of key moments/transcribe <FilePath> [--output-dir DIR] [--analyze-ui] [--with-summary] [--format md|txt]
| Parameter | Required | Default | Description |
|---|---|---|---|
FilePath | yes | — | Path to audio / video file |
--output-dir | no | <file_folder>/Transcript/<name>/ | Result directory |
--analyze-ui | no | off | UI-analysis mode (video only) |
--with-summary | no | off | Add a summary (for generic mode) |
--format | no | md | Output format: md or txt |
google-genai, python-dotenvffmpeg, ffprobe in PATHGEMINI_API_KEY, or <skill-dir>/.env with GEMINI_API_KEY=... (the script also checks supported user-skill locations and then cwd/.env)Determine FilePath and optional flags from the user's arguments.
Run the script:
$env:PYTHONUNBUFFERED = "1"
python <skill-dir>/scripts/transcribe.py "<FilePath>" [--output-dir "<OutputDir>"] [--analyze-ui] [--with-summary] [--format md|txt]
IMPORTANT: PYTHONUNBUFFERED=1 is mandatory; otherwise stdout is buffered and progress is not displayed.
On macOS / Linux use PYTHONUNBUFFERED=1 python ... instead.
The script runs long (5–15 minutes depending on length). Files > 1 hour are split automatically.
After completion, report the result paths to the user.
Read the summary (if any) or the start of the transcript and show it to the user.
~$0.10 per 1 hour of recording (Gemini 2.5 Flash). Long files cost proportionally.
--analyze-ui with an audio file automatically falls back to generic + summary