alexeygrigorev/openai-transcribe
skills/openai-transcribe/SKILL.md
Transcribe local audio files with the OpenAI Audio Transcriptions API without adding OpenAI dependencies to the target project.
$ install --global
skillsauthnpx skillsauth add alexeygrigorev/.claude openai-transcribeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: May 23, 2026, 4:18 AM35.6s2 files scanned
SKILL.md
- name:
- openai-transcribe
- description:
- Transcribe local audio files with the OpenAI Audio Transcriptions API without adding OpenAI dependencies to the target project.
- allowed-tools:
- Bash(python *)
- argument-hint:
- [audio-file ...]
OpenAI Transcribe
Use scripts/transcribe.py to transcribe local audio through the
OpenAI Audio Transcriptions API.
The script intentionally uses only the Python standard library. It
does not add openai or any other dependency to the repository being
worked on.
Authentication
The script reads the API key in this order:
OPENAI_API_KEYfrom the current environment.--env-file /path/to/.env, readingOPENAI_API_KEY=....--auto-env, scanning local project.envfiles under/home/alexey/gitand using the first file that containsOPENAI_API_KEY.
The key is never printed.
Example
python /home/alexey/git/.claude/skills/openai-transcribe/scripts/transcribe.py \
--auto-env \
--model whisper-1 \
--language ru \
--out-dir docs/source-recordings \
docs/source-recordings/example.m4a
For whisper-1, the script requests verbose_json and writes both
the raw JSON response and a timestamped .txt file.
Files larger than the OpenAI upload limit are split with ffmpeg
before transcription, then combined back into one timestamped output.
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