Menu
Local speech-to-text with the Whisper CLI (no API key).
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Guide for implementing new agent tools for ClosedClaw's AI assistant. Use when adding capabilities like web search, file operations, API integrations, or custom actions. Covers tool factory pattern, parameter validation, registration, and testing.
Guide for creating new messaging channel plugins/extensions for ClosedClaw. Use when adding support for new messaging platforms (e.g., Matrix, Teams, BlueBubbles). Covers plugin structure, CliDeps extension, routing setup, and testing.
Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control.
Help with config schema changes and migrations in ClosedClaw. Use when updating config types, syncing Zod schemas, creating migrations, or handling breaking config changes. Covers type definitions, validation, and legacy migration patterns.
Guide for writing and maintaining ClosedClaw documentation. Use when creating docs for new features, channels, tools, or updating existing documentation. Covers markdown conventions, link styles, formatting rules, and documentation structure.
Guide for writing e2e tests for ClosedClaw gateway and channels. Use when testing multi-instance gateway behavior, WebSocket/HTTP surfaces, node pairing, agent workflows with real networking. Covers test helpers, assertion patterns, and common scenarios.
| name | openai-whisper |
| description | Local speech-to-text with the Whisper CLI (no API key). |
| homepage | https://openai.com/research/whisper |
| metadata | {"ClosedClaw":{"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.