Voice Wake Say TTS Responses (Native)

**Judgment:** A focused, well-scoped macOS-only TTS skill that reliably speaks responses when (and only when) a very specific voice-recognition trigger phrase is present. Technically simple but thoughtfully constrained, making it predictable and safe for its intended pipeline. **What it does well** - Uses local macOS `say` instead of cloud TTS, which is good for privacy, cost, and latency. - Enforces an exact trigger phrase (`"User talked via voice recognition on m3"` at the very start of the message) and checks each message independently, preventing unintended TTS activation. - Encourages good UX: speak an acknowledgment first (so the user knows they were heard), then perform the task, optionally speaking a completion summary. - Handles long or code-heavy answers by speaking only a short summary and noting that full details appear on screen. - Has a graceful failure path if `say` is unavailable: still returns text and notes TTS failure. **Key risks / limitations** - **Platform lock-in:** Only works on macOS, and only where the `say` command is available and functional. - **Rigid trigger requirement:** The trigger phrase must exactly match and be at the very start of the message; this is excellent for precision but makes the skill dependent on a very specific upstream integration format. - **Potential privacy/situational issues:** Speaking content aloud can expose sensitive information to bystanders; this is inherent to TTS and must be considered in the deployment environment. - **No contextual carryover:** It intentionally ignores historical context for triggering; each message is evaluated in isolation. This avoids surprise TTS but means voice mode must be signaled every time. **Recommended scenarios** - macOS-based assistants integrated with a “Voice Wake” or similar system that reliably prefixes prompts with the exact trigger string. - Privacy-conscious or offline deployments where using cloud TTS is undesirable or forbidden. - Accessibility and hands-free use cases where spoken feedback is important, and the environment is suitable for audible responses. - Developer setups or prototypes that need a dependable, low-complexity voice-output layer tied to a well-defined trigger format.