transcribe-basic
Skill0 starsChanged 4 months agoMITView on GitHub
Produce a fast plain-text transcript with the bundled CLI using the light transcription model. Use when speaker diarization is not needed.
- Reads credentials
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The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 10
Do not use when: the user explicitly needs diarization or known-speaker matching.
- Very specific: line 18
Run ~/.codex/skills/transcribe/scripts/transcribe_diarize.py with gpt-4o-mini-transcribe and plain text output under a stable output path …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Transcribe Basic
Metadata
- Trigger when: the user needs a fast transcript without speaker labels.
- Do not use when: the user explicitly needs diarization or known-speaker matching.
Skill Purpose
Generate the fastest honest transcript path for audio by keeping the job to plain transcription instead of overcomplicating it with diarization.
Instructions
- Confirm the audio path and check that
OPENAI_API_KEYis set. If the key is missing, stop and tell the user to set it locally. - Run
~/.codex/skills/transcribe/scripts/transcribe_diarize.pywithgpt-4o-mini-transcribeand plain text output under a stable output path such asoutput/transcribe/. - Validate that the transcript exists, is readable, and matches the requested file/output format. Note any caveat caused by audio quality, chunking, or language uncertainty.
Non-Negotiable Acceptance Criteria
- Secrets stay in environment variables, never in chat.
- The model choice is the fast plain-transcription path, not diarization-heavy overkill.
- Output location and format are explicit.
- Audio-quality limitations are stated when they materially affect trust in the transcript.
Output
- The transcript path.
- The model and response format used.
- A short note on transcript quality or caveats.
Next skill options(only if needed):$transcribe-diarize— use when the user later needs speaker labels or diarization.
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