back
loading skill details...
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…
Audio Transcribe Transcribe audio using OpenAI, with optional speaker diarization when requested. Prefer the bundled CLI for deterministic, repeatable runs. Workflow Collect inputs: audio file path(s), desired response format (text/json/diarized_json), optional language hint, and any known speaker references. Verify OPENAI_API_KEY is set. If missing, ask the user to set it locally (do not ask them to paste the key). Run the bundled transcribe_diarize.py CLI with sensible defaults (fast text transcription). Validate the output: transcription quality, speaker labels, and segment boundaries; iterate with a single targeted change if needed. 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.
don't have the plugin yet? install it then click "run inline in claude" again.