القائمة
Local speech-to-text with the Whisper CLI (no API key).
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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.