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transcribe

Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings.

foryourhealth111-pixel/Vibe-Skills
インストール方法を見る

含まれるファイル（7）

  • SKILL.md2.8 KB
  • agents/openai.yaml414 B
  • assets/transcribe-small.svg750 B
  • assets/transcribe.png1.3 KB
  • LICENSE.txt10.5 KB
  • references/api.md457 B
  • scripts/transcribe_diarize.py8.5 KB

SKILL.md（原文）

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Audio Transcribe

Transcribe audio using OpenAI, with optional speaker diarization when requested. Prefer the bundled CLI for deterministic, repeatable runs.

Workflow

  1. Collect inputs: audio file path(s), desired response format (text/json/diarized_json), optional language hint, and any known speaker references.
  2. Verify OPENAI_API_KEY is set. If missing, ask the user to set it locally (do not ask them to paste the key).
  3. Run the bundled transcribe_diarize.py CLI with sensible defaults (fast text transcription).
  4. Validate the output: transcription quality, speaker labels, and segment boundaries; iterate with a single targeted change if needed.
  5. Save outputs under output/transcribe/ when working in this repo.

Decision rules

  • Default to gpt-4o-mini-transcribe with --response-format text for fast transcription.
  • If the user wants speaker labels or diarization, use --model gpt-4o-transcribe-diarize --response-format diarized_json.
  • If audio is longer than ~30 seconds, keep --chunking-strategy auto.
  • Prompting is not supported for gpt-4o-transcribe-diarize.

Output conventions

  • Use output/transcribe/<job-id>/ for evaluation runs.
  • Use --out-dir for multiple files to avoid overwriting.

Dependencies (install if missing)

Prefer uv for dependency management.

uv pip install openai

If uv is unavailable:

python3 -m pip install openai

Environment

  • OPENAI_API_KEY must be set for live API calls.
  • If the key is missing, instruct the user to create one in the OpenAI platform UI and export it in their shell.
  • Never ask the user to paste the full key in chat.

Skill path (set once)

export CODEX_HOME="${CODEX_HOME:-$HOME/.codex}"
export TRANSCRIBE_CLI="$CODEX_HOME/skills/transcribe/scripts/transcribe_diarize.py"

User-scoped skills install under $CODEX_HOME/skills (default: ~/.codex/skills).

CLI quick start

Single file (fast text default):

python3 "$TRANSCRIBE_CLI" \
  path/to/audio.wav \
  --out transcript.txt

Diarization with known speakers (up to 4):

python3 "$TRANSCRIBE_CLI" \
  meeting.m4a \
  --model gpt-4o-transcribe-diarize \
  --known-speaker "Alice=refs/alice.wav" \
  --known-speaker "Bob=refs/bob.wav" \
  --response-format diarized_json \
  --out-dir output/transcribe/meeting

Plain text output (explicit):

python3 "$TRANSCRIBE_CLI" \
  interview.mp3 \
  --response-format text \
  --out interview.txt

Reference map

  • references/api.md: supported formats, limits, response formats, and known-speaker notes.

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