What problem does it solve? Turning written results into spoken audio normally requires wiring up a TTS API, handling credentials, chunking long text, and finding a working audio player. This Skill wraps all of that behind the evo tts CLI and an evo-tts MCP server so an agent can hand over results by voice instead of a wall of text. ## Core Features & Use Cases - Two synthesis providers: Vbee for natural Vietnamese with correct tones, and OpenAI gpt-4o-mini-tts for English and steerable delivery via instructions, with automatic provider selection based on available credentials. - Realtime and batch modes: evo tts speak synthesizes and plays immediately with sentence-boundary chunking for long text, while evo tts batch processes directories of files or JSONL manifests through the async API. - MCP server integration: A stdio MCP server exposes speak, speak_batch, and list_voices tools, registered with Claude Code, Codex, and OpenCode via one idempotent install script. - Use Case: After finishing a long build or deployment, have the agent speak a short Vietnamese or English summary through your speakers so you know the result without reading the terminal. ## Quick Start Ask the agent to speak a short summary of the finished task out loud, for example: "Say it out loud: the build finished and all tests passed."