菜单
Local speech-to-text with the Whisper CLI (no API key); Don't use if you need cloud transcription with no local model; prefer openai-whisper-api.
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
Manage Apple Notes via the `memo` CLI on macOS (create, view, edit, delete, search, move, and export notes). Use when a user asks OpenClaw to add a note, list notes, search notes, or manage note folders; Don't use for markdown/linked notes (obsidian), collaborative docs (notion), or tagged research (bear-notes).
Create, search, and manage Bear notes via grizzly CLI; Don't use for quick system capture (apple-notes), plain markdown files (obsidian), or collaborative docs (notion).
Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control; Don't use for simple one-off shell commands; use exec tool directly.
Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs; Don't use for non-Gmail email; prefer himalaya for IMAP/SMTP accounts.
CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language). Don't use for Gmail/Google Workspace; prefer gog
iMessage/SMS CLI for listing chats, history, watch, and sending; Prefer bluebubbles if available; this is the fallback iMessage CLI.
| name | openai-whisper |
| description | Local speech-to-text with the Whisper CLI (no API key); Don't use if you need cloud transcription with no local model; prefer openai-whisper-api. |
| homepage | https://openai.com/research/whisper |
| metadata | {"openclaw":{"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.
openai-whisper-api for cloud transcription.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.