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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.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
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。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/Mr-Q526/TeamCC-Platform --skill transcribeコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
SKILL.md を表示中
| schemaVersion | "2026-04-11T00:00:00.000Z" |
| skillId | ai/transcribe |
| name | transcribe |
| displayName | Transcribe |
| description | 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. |
| aliases | ["transcribe","智能助手"] |
| version | 0.1.0 |
| sourceHash | sha256:24bcd3b79b7db8ad3a6e0ac609cadfff7e53df5570361bac12f38c35b9ba17fc |
| domain | ai |
| departmentTags | ["ai-platform"] |
| sceneTags | ["content-generation","data-analysis"] |
Transcribe audio using OpenAI, with optional speaker diarization when requested. Prefer the bundled CLI for deterministic, repeatable runs.
OPENAI_API_KEY is set. If missing, ask the user to set it locally (do not ask them to paste the key).transcribe_diarize.py CLI with sensible defaults (fast text transcription).output/transcribe/ when working in this repo.gpt-4o-mini-transcribe with --response-format text for fast transcription.--model gpt-4o-transcribe-diarize --response-format diarized_json.--chunking-strategy auto.gpt-4o-transcribe-diarize.output/transcribe/<job-id>/ for evaluation runs.--out-dir for multiple files to avoid overwriting.Prefer uv for dependency management.
uv pip install openai
If uv is unavailable:
python3 -m pip install openai
OPENAI_API_KEY must be set for live API calls.export CODEX_HOME="${CODEX_HOME:-$HOME/.codex}"
export TRANSCRIBE_CLI="$CODEX_HOME/skills/transcribe/scripts/transcribe_diarize.py"
User-scoped skills install under $CODEX_HOME/skills (default: ~/.codex/skills).
Single file (fast text default):
python3 "$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
references/api.md: supported formats, limits, response formats, and known-speaker notes.Use when designing about pages, company story pages, team pages, and mission pages. Basic version focused on trust, narrative, people, values, and company proof; emphasizes fast layout, obvious labels, a minimal section set, and a short checklist.
Use when designing about pages, company story pages, team pages, and mission pages. Pro version focused on trust, narrative, people, values, and company proof; emphasizes deep information architecture, strong hierarchy, explicit states, responsive behavior, accessibility, and validation checks.
Use when the task is to design a management console, 管理后台, admin panel, operations dashboard, moderation tool, or back-office web app. Focus on operator efficiency, table-first layout, filters, bulk actions, status visibility, and low-noise product UI.
SOC 職業分類に基づく