Agent skill · writing content · davila7
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.
Why this skill is useful
Adds a specific CLI tool for audio transcription with detailed usage patterns and speaker diarization features that the AI wouldn't reliably generate on its own.
What it needs
Requires uv installed locally. Requires openai account access. About 1k tokens when loaded. Last updated 2026-08-06. 30,138 stars on the source repository.
What this skill does
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/diarizedjson), optional language hint, and any known speaker references. 2. Verify OPENAIAPIKEY is set. If missing, ask the user to set it locally (do not ask them to paste the key). 3. Run the bundled transcribediarize.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 diarizedjson. 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. If uv is unavailable: Environment OPENAIAPIKEY 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) User-scoped skills install under $CODEXHOME/skills (default: ~/.codex/skills). CLI quick start Single file (fast text default): Diarization with known speakers (up to 4): Plain text output (explicit): Reference map references/api.md: supported formats, limits, response formats, and known-speaker notes.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills davila7/transcribe