Name: Voice Wake Say TTS Responses (Native)
Author: xadenryan

据 AlphaMoat 统计,截至 2026-09,Voice Wake Say TTS Responses (Native) 累计下载 3,809 次、获 2 个星标,在全部 5,078 个 AI 技能中排名第 2,761 位,在「AI 智能体」分类(969 个)中排名第 547 位。

累计安装

120

累计下载

3,809

星标

全站排名

#2,761

全站前 55% · 「AI 智能体」前 57%

平台	累计安装	累计下载	星标	评论
ClawHub ↗	120	3,699	2	-
SkillHub ↗	118	3,809	2	—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

主文要求逐条检查最新消息是否以确切前缀开头，不继承先前消息的触发状态；朗读内容应基于最终回复。附近的人可能听到语音输出，因此只应在明确需要本地朗读时启用，并严格遵循精确前缀条件。若本地语音功能不可用，应继续以文本回复并说明语音失败。

资料发布于 2026-10-29

可以用来做什么

规划语音唤醒消息与普通文本消息的响应分流
设计本地朗读前的触发条件和内容简化方式
审查周围人员可能听到回复内容时的隐私影响

什么时候用

用户明确使用规定的语音唤醒前缀，且本地朗读符合其使用场景时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

不调用语音功能，设计一个仅当消息以指定前缀开头时朗读、否则只返回文字的判断规则。

为附近可能有人听到的本地语音输出制定隐私检查清单。

月度数据趋势

累计下载3,809

星标2

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份	累计下载	环比	星标
2026-09	3,809	—	2
2026-08	3,597	+4.4%	2
2026-07	3,445	+9.7%	2
2026-06	3,141	+5.3%	2
2026-05	2,982	—	2
2026-03	2,492	—	2

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

1.8 KB · ClawHub v0.1.0

---
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. Do **not** use the `tts` tool (it calls cloud providers).

展开全部(共 48 行)

## When to Use `say` (CHECK EVERY MESSAGE INDIVIDUALLY)

**IF** the user message STARTS WITH: `User talked via voice recognition on m3`
- **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 on m3`
- If the message instructs "repeat prompt first", keep that behavior in the response.

2) 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.

3) Speak with `say` (local macOS TTS)
```bash
printf '%s' "$SPOKEN_TEXT" | say
```

Optional controls (use only if set):
```bash
printf '%s' "$SPOKEN_TEXT" | say -v "$SAY_VOICE"
printf '%s' "$SPOKEN_TEXT" | say -r "$SAY_RATE"
```

## Failure handling
- If `say` is unavailable or errors, still send the text response and note that TTS failed.