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Produce a fast plain-text transcript with the bundled CLI using the light transcription model. Use when speaker diarization is not needed.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
| name | transcribe-basic |
| description | Produce a fast plain-text transcript with the bundled CLI using the light transcription model. Use when speaker diarization is not needed. |
Generate the fastest honest transcript path for audio by keeping the job to plain transcription instead of overcomplicating it with diarization.
OPENAI_API_KEY is set. If the key is missing, stop and tell the user to set it locally./Users/nick/.codex/skills/transcribe/scripts/transcribe_diarize.py with gpt-4o-mini-transcribe and plain text output under a stable output path such as output/transcribe/.Next skill options (only if needed): $transcribe-diarize — use when the user later needs speaker labels or diarization.Audit and improve a public GitHub repository's discoverability and any linked canonical site without confusing repository presentation with website SEO. Use for repository SEO, GitHub discoverability, topics/homepage/README optimization, GitHub Pages SEO, AEO, or agent-friendly public documentation.
Create, edit, analyze, or format spreadsheets (`.xlsx`, `.csv`, `.tsv`) with `openpyxl` and `pandas`, especially when formulas, references, and formatting must survive the change. Use when spreadsheet integrity matters more than ad hoc CSV hacking.
Analyze and reshape spreadsheet, CSV, or TSV data with `pandas` and stable output files. Use when the job is aggregation, filtering, joins, metrics, or tabular transformations rather than workbook-style editing.
Create or edit `.xlsx` workbooks while preserving formulas, references, formatting, and layout. Use when workbook integrity matters more than raw data analysis.
Produce a speaker-aware transcript with diarization and optional known-speaker hints using the bundled CLI. Use when the user explicitly needs speaker labels.
Transcribe audio files to text with optional diarization and known-speaker hints using the bundled CLI. Use when the user wants text from audio or video, especially when speaker labeling or repeatable output matters.