Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Communication & Collaboration
Voice Wake Say
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>").
skill openclawclawhub Free
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>").
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- xadenryan
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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).
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
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. 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. 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"
Failure handling
If say is unavailable or errors, still send the text response and note that TTS failed.
Category context
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md