openai-whisper
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更新时间2026年4月3日 15:21
Local speech-to-text with the Whisper CLI (no API key).
安装
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。
SKILL.md
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相关职业SOC
基于 SOC 职业分类
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Local speech-to-text with the Whisper CLI (no API key).
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
Connect AssistClaw to a Bee wearable via BeeMCP (MCP server) without using bee CLI/proxy. Use when: BeeMCP is already installed or user wants Bee tools exposed through MCP lazy-loading.
Query and control a Bee wearable (bee.computer) — conversations, facts, todos, journals, daily briefs, and real-time event streams. Use when: user references their Bee device, asks what they just talked about, wants a daily brief, manages facts/todos captured by Bee, or searches their personal lifelog. NOT for: generic calendar/reminder apps, historical data older than the Bee account, or non-Bee wearables.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
Manage Apple Notes via the `memo` CLI on macOS (create, view, edit, delete, search, move, and export notes). Use when a user asks AssistClaw to add a note, list notes, search notes, or manage note folders.
Manage Apple Reminders via remindctl CLI (list, add, edit, complete, delete). Supports lists, date filters, and JSON/plain output.
Create, search, and manage Bear notes via grizzly CLI.
| name | openai-whisper |
| description | Local speech-to-text with the Whisper CLI (no API key). |
| homepage | https://openai.com/research/whisper |
| metadata | {"assistclaw":{"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.