菜单
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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-api |
| description | Transcribe audio via OpenAI Audio Transcriptions API (Whisper). |
| homepage | https://platform.openai.com/docs/guides/speech-to-text |
| metadata | {"understudy":{"emoji":"☁️","requires":{"bins":["curl"],"env":["OPENAI_API_KEY"]},"primaryEnv":"OPENAI_API_KEY"}} |
Transcribe an audio file via OpenAI’s /v1/audio/transcriptions endpoint.
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a
Defaults:
whisper-1<input>.txt{baseDir}/scripts/transcribe.sh /path/to/audio.ogg --model whisper-1 --out /tmp/transcript.txt
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --language en
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --prompt "Speaker names: Peter, Daniel"
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --json --out /tmp/transcript.json
Set OPENAI_API_KEY, or configure it in ~/.understudy/config.json5:
{
skills: {
"openai-whisper-api": {
apiKey: "OPENAI_KEY_HERE",
},
},
}