Localized reading guide
transcribePurpose, usage and source
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.
Source retrieved:
- Source repository
- openai/skills
- SKILL.md
skills/.curated/transcribe/SKILL.md- Repository stars
- 28,420
- Repository updated
- 2026-10-29
- Categories
- Other
- Last collected
License: License file needs review
Workflow excerpts are reading aids, not executable instructions from Codez. No third-party Skill was run to produce this page.
The purpose and workflow passages below are upstream material, organized and translated for reading. They are distinct from the separately labeled Codez editorial analysis.
What this Skill does
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.
How the upstream workflow works
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.
CLI quick start
Single file (fast text default): Diarization with known speakers (up to 4): Plain text output (explicit):
Upstream passage · L53 ↗Audio Transcribe
Transcribe audio using OpenAI, with optional speaker diarization when requested. Prefer the bundled CLI for deterministic, repeatable runs.
Upstream passage · L7 ↗Requirements and setup
Dependencies (install if missing)
Prefer uv for dependency management. If uv is unavailable, consult the alternative installation instructions in the complete source.
Environment
OPENAI_API_KEY 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.
uv pip install openaiLimits and quality checks
No separate limits passage was selected from this file. This does not mean the Skill is safe for every input or environment. Review the complete source and validate your own result.
Start with a safe trial
- Check the supported host and the repository installation instructions. Keep the Skill directory and its referenced scripts, assets and documentation together; SKILL.md alone may omit dependencies.
- Give the agent your real input, desired output and acceptance criteria. Invocation syntax and available tools depend on the host; this site does not assume a universal install command.
- Try the source workflow in a disposable project or on a copy. Review operations that change files, remote services or billable resources before allowing them.
- Validate the output against the source quality checks and your own requirements. A successful trigger or a high repository Star count does not establish a correct result.
Read further in the source
Related Skills
Translation and scope
This reading guide selects passages from the pinned upstream SKILL.md. Translation is assisted. It is not a complete manual or a claim of tested compatibility. Read the original and its referenced files before use.
This introduction refers to the pinned version below; current repository activity and collection time are shown separately.
- Pinned source
- Read the original ↗
- Source retrieved
- Source commit
49f948faa9258a0c61caceaf225e179651397431- Source SHA-256
f530021da9f377362ee4214e0bc689cbb5404640d2eb88ee272d51d61f530a09