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Local speech-to-text with the Whisper CLI (no API key).
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
Use Xquik REST and MCP APIs for X data workflows: search public posts, inspect users, export datasets, download media, monitor accounts or keywords, and send webhook events. Use when the user needs X data from Xquik rather than account-scoped X API actions through xurl.
Collect the baseline context bundle for the selected target.
Compose the final draft summary video from the generated assets and brief.
Goal-driven worker for exploring an unfamiliar target.
Prepare the delivery preview payload from the generated assets.
Render polished cover and summary-card image assets for the brief package.
| name | openai-whisper |
| description | Local speech-to-text with the Whisper CLI (no API key). |
| homepage | https://openai.com/research/whisper |
| metadata | {"understudy":{"emoji":"🎙️","requires":{"bins":["whisper"]},"install":[{"id":"brew","kind":"brew","formula":"openai-whisper","bins":["whisper"],"label":"Install OpenAI Whisper (brew)"}]}} |
Use whisper to transcribe audio locally.
Quick start
whisper /path/audio.mp3 --model medium --output_format txt --output_dir .whisper /path/audio.m4a --task translate --output_format srtNotes
~/.cache/whisper on first run.--model defaults to turbo on this install.