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SpecializedFree Safe

Voice Assistant

Security Scan Summary

Status: Safe

Source: Syntic Skills registry

Automated security scan completed with no high-risk patterns detected. Manual review is still required.

About This Skill

Use when building voice interfaces with speech-to-text, text-to-speech, natural language understanding, and dialog management for Alexa or Google Assistant.

Downloadable SKILL.md

Download SKILL.md and place it in your Syntic skills folder. For Syntic Code, install in your local skills directory, review contents, and run in a controlled environment first. Acknowledge the risk notice above to enable the download.

SKILL.md

---
name: Voice Assistant
description: Use when building voice interfaces with speech-to-text, text-to-speech, natural language understanding, and dialog management for Alexa or Google Assistant.
category: Specialized
version: 1.0.0
tools: []
---

# Voice Assistant Development

Build conversational voice interfaces with speech recognition, natural language understanding, dialog management, and speech synthesis for Alexa and Google Assistant.

## Voice Design Principles

- Design the voice user interface (VUI) defining intents (user goals), slots (parameters), sample utterances (≥20 per intent), and dialog flow with slot elicitation and disambiguation
- Implement speech-to-text: Whisper (offline/self-hosted), Google Cloud Speech, or Amazon Transcribe with language-specific fine-tuning
- Build natural language understanding: platform NLU (Alexa Skills Kit, Dialogflow) or custom NER for domain-specific entities
- Design dialog management as a state machine: track conversation context, manage multi-turn interactions, handle topic switching, maintain session state

## Response Design

- Write speech-optimized text: short sentences (≤30 words), no abbreviations, SSML markup for pronunciation control
- Use neural TTS: Amazon Polly Neural, Google Cloud TTS WaveNet, Coqui TTS (self-hosted)
- Select voice appropriate to brand persona, apply SSML-driven prosody, optimize audio format (Opus for streaming, MP3 for cached responses)
- Every response must end with actionable prompt or explicit session closure (silence without guidance is UX failure)

## Platform Implementation

- **Alexa**: Lambda function or HTTPS endpoint handling LaunchRequest, IntentRequest, SessionEndedRequest, with session attribute management and progressive response support
- **Google Assistant**: Actions SDK or Dialogflow CX with webhook fulfillment, intent matching, parameter extraction, rich response types (cards, carousels, suggestions), voice-only compatibility

## Error Handling & Analytics

- Error recovery: unrecognized speech (reprompt with examples), ambiguous input (clarifying question), out-of-scope (guide back to capabilities), service errors (apologize and suggest retry)
- Track intent recognition rates (target >95%), slot fill success, dialog turn counts, task completion, and user drop-off points
- Response latency: utterance end to audio playback start ≤2 seconds
- Voice responses: max 30 seconds for informational content
- Test intent recognition accuracy with sample utterance set
- Validate multi-turn scenarios end-to-end, test error recovery paths
- Verify TTS output quality, SSML rendering, and platform certification requirements

Bundle Download

Includes SKILL.md and bundled support files where provided. Risk acknowledgement is required.

Install Targets

Syntic App

1. Create a dedicated folder for this skill in your local skills library.
2. Place SKILL.md into that folder.
3. Restart Syntic and invoke this skill on matching tasks.

Syntic Code (CLI)

1. Save SKILL.md in your local Syntic Code skills directory.
2. Keep related files in the same skill folder.
3. Run in a safe environment and validate outputs.

Source

https://github.com/rohitg00/awesome-claude-code-toolkit/blob/main/agents/specialized-domains/voice-assistant.md

Open Source Link

Specialized

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