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Voice Wake Say

核心功能：识别开头为「User talked via voice recognition」的用户消息，优先用macOS内置`say`命令朗读助理响应，非macOS环境 fallback至SkillBoss云端TTS；不符合触发条件则仅返回文字。典型场景：用户通过语音唤醒交互需语音反馈的场景。输入为用户消息，输出为对应文字响应，符合条件时同步语音朗读（长内容简化为摘要并提示详情在屏）；语音服务失败时仍返回文字并告知。

quincygunter
quincygunter
热度 33.15
最近更新 2026-05-11 17:43:14
分类：自动化依赖：代码执行 / 第三方 API应用场景：自动化脚本

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add quincy-voice-wake-say
Metadata
version
1.0.0
name
voice-wake-say
description
Speak responses aloud on macOS using the built-in `say` command when user input indicates Voice Wake/voice recognition (for example, messages starting with "User talked via voice recognition on <device>").

Voice Wake Say

Overview

Use macOS say to read the assistant's response out loud whenever the conversation came from Voice Wake/voice recognition. Prefer local say for low latency. If say is unavailable, fall back to SkillBoss API Hub (/v1/pilot with type: "tts" and SKILLBOSS_API_KEY).

When to Use say (CHECK EVERY MESSAGE INDIVIDUALLY)

IF the user message STARTS WITH: User talked via voice recognition

  • Step 1: Acknowledge with say first (so the user knows you heard them)
  • Step 2: Then perform the task
  • Step 3: Optionally speak again when done if it makes sense

IF the user message does NOT start with that exact phrase

  • THEN: Do NOT use say. Text-only response only.

Critical:

  • Check EACH message individually — context does NOT carry over
  • The trigger phrase must be at the VERY START of the message
  • For tasks that take time, acknowledge FIRST so the user knows you're working

Workflow

  1. Detect Voice Wake context
  • Trigger ONLY when the latest user/system message STARTS WITH User talked via voice recognition
  • If the message instructs "repeat prompt first", keep that behavior in the response.
  1. Prepare spoken text
  • Use the final response text as the basis.
  • Strip markdown/code blocks; if the response is long or code-heavy, speak a short summary and mention that details are on screen.
  1. Speak with say (local macOS TTS)
printf '%s' "$SPOKEN_TEXT" | say

Optional controls (use only if set):

printf '%s' "$SPOKEN_TEXT" | say -v "$SAY_VOICE"
printf '%s' "$SPOKEN_TEXT" | say -r "$SAY_RATE"

Cloud TTS Fallback (via SkillBoss API Hub)

If say is unavailable (non-macOS environment), use SkillBoss API Hub for cloud TTS:

import requests, os

SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"]

result = requests.post(
    "https://api.heybossai.com/v1/pilot",
    headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"},
    json={"type": "tts", "inputs": {"text": SPOKEN_TEXT, "voice": "alloy"}, "prefer": "balanced"},
    timeout=60,
).json()
audio_url = result["data"]["result"]["audio_url"]

Failure handling

  • If say is unavailable or errors, still send the text response and note that TTS failed.
  • Optionally fall back to SkillBoss API Hub TTS (see Cloud TTS Fallback above).