Turn speech from audio or video recordings into text using OpenAI. Save transcripts as text or JSON, with optional speaker labels and reference recordings to help identify known speakers in meetings or interviews.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
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.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
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.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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Build, review, and refactor ASP.NET Core web applications using official guidance. Helps choose application structure, implement pages and APIs, configure authentication and services, and plan testing, performance improvements, deployment, and version upgrades.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Build and troubleshoot ChatGPT apps with an MCP server that exposes tools and an optional interactive widget. Use current official documentation and examples to create scaffolds, configure security settings, and guide local validation and deployment when requested.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn API documentation or existing scripts into reusable command-line tools that Codex can run from any folder. Builds focused read and write commands, consistent JSON output, authentication handling, installation instructions, and a companion skill.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Deploy applications and infrastructure on Cloudflare by matching project needs to services such as Workers and Pages. Guides service selection and authentication checks, with references covering storage, AI, networking, security, and infrastructure configuration.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn a vague intention into a concrete goal with clear scope, measurable success criteria, and evidence of completion. Check existing goals before creating one, so the agent has a specific outcome to pursue without duplicating active work.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn a linked Figma frame or layer into application code using the Figma MCP server, a connection for accessing design data. Retrieve design details, screenshots, and assets, reuse existing project components, and compare the implementation with the design.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.