Edge TTS

Edge TTS extends your AI assistant with the ability to text-to-speech conversion using node-edge-tts npm package for generating audio from text. Supports multiple voices, languages, speed adjustment, pitch control, and subtitle generation. Use when: (1) User requests audio/voice output with the "tts" trigger or keyword. (2) Content needs to be spoken rather than read (multitasking, accessibility, driving, cooking). (3) User wants a specific voice, speed, pitch, or format for TTS output. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using Edge TTS as its underlying capability.

Edge TTS works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Edge TTS once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.

Edge TTS installs like any other MCP skill: drop the folder into `~/.claude/skills/edge-tts/` for global access, or `.claude/skills/edge-tts/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/edge-tts`, or let the AI decide when it's the right tool for your request.

With 17,408 installs, Edge TTS has built a substantial following in the Design & Creative space. That install count reflects consistent demand from developers and teams who've found it genuinely useful. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.