Convert AI text responses into audible speech via multiple TTS backends.
npx skills add https://github.com/alamparelli/mcp-claude-say --skill speak-alamparelli
Please help me install this Agent Skill. Skill: speak Source: https://github.com/alamparelli/mcp-claude-say/tree/main/skill Command: npx skills add https://github.com/alamparelli/mcp-claude-say --skill speak-alamparelli
This Skill allows Claude to vocalize its responses, enabling users to listen to Claude's output instead of reading it, enhancing accessibility and providing an auditory interaction experience.
Have Claude say "Hello, how can I help you today?" in a brief mode.
High-intent search queries and answers about installing and using this skill.
Text-to-speech functionality converts written text into audible speech, allowing you to listen to AI responses. This Skill supports backends like macOS 'say', local MLX 'kokoro', and cloud-based 'google' TTS for vocalizing outputs.
Yes, the text-to-speech output supports multiple backends including native macOS 'say', local MLX-based 'kokoro', and cloud-based 'google' TTS. This provides flexibility in choosing your preferred voice synthesis environment.
The best way to control speech synthesis is by using the built-in settings for speaking speed and voice selection. You can choose different TTS backends and distinct modes like brief, brainstorming, or complete explanations to match your context.
Yes, you can use different speaking styles for brainstorming and brief explanations. The Skill offers distinct expressive modes—brief, brainstorming, and complete—allowing the spoken audio to match the conversational context appropriately.
Text-to-speech for AI model interactions enhances accessibility and provides an auditory experience. It is useful when multitasking or when you prefer listening to summaries and explanations rather than reading text on a screen.
Local MLX-based 'kokoro' speech synthesis runs entirely on your machine, offering privacy but requiring local compute resources. In contrast, cloud-based 'google' TTS handles processing remotely, shifting compute load but requiring an internet connection.
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