This skill allows developers to incorporate voice AI functionalities into their applications. It is designed for developers who want to enhance user interactions through voice commands and AI responses.
$ npx skills add https://github.com/shengwang-community/skills --skill voice-ai-integrationVoice AI Integration is a collection of reusable skills for developers building with the Shengwang platform. It provides modular components for AI voice agent lifecycle management (create, stop, update, query), real-time audio/video calls, messaging, cloud recording, and token generation. The skill supports multiple languages including Go, Java, and Python, and works across Web, Android, iOS, and Flutter platforms. Developers describe their needs to an AI agent, which automatically routes requests to the appropriate product module—whether that's ConvoAI for voice agents, RTC SDK for real-time calls, or token servers for secure authentication. This approach lets agents handle integration, configuration, and debugging workflows for voice-enabled applications.
Install the skill using the provided command.
Enable voice commands in applications
Create interactive voice response systems
Facilitate voice-activated features in devices
$ npx skills add https://github.com/shengwang-community/skills --skill voice-ai-integrationgit clone https://github.com/shengwang-community/skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Create a voice AI integration for [COMPANY]'s [INDUSTRY] application. The integration should support [LANGUAGE] voice commands, real-time transcription, and AI-generated responses for customer queries. Ensure the system handles background noise and provides fallback responses when the AI is unsure. Use [DATA] for training the voice model.
```markdown # Voice AI Integration for RetailChain’s Customer Support App ## Integration Overview Successfully integrated voice AI into RetailChain’s mobile app to handle customer queries via voice commands. The system supports English and Spanish, with real-time transcription accuracy of 94% in quiet environments and 87% in noisy retail store settings. ## Key Features Implemented - **Voice Command Processing**: Customers can say phrases like "Check my order status" or "Find a store near me" to trigger actions. - **Real-Time Transcription**: Converts spoken queries into text with minimal latency (~200ms response time). - **AI Response Generation**: Provides contextual answers (e.g., order status, store hours, product availability) using RetailChain’s internal knowledge base. - **Background Noise Handling**: Uses adaptive noise cancellation to filter out store chatter and music, improving accuracy. - **Fallback Responses**: When the AI is unsure (confidence < 80%), it escalates to a human agent with a transcript of the query. ## Performance Metrics (First 30 Days) - **User Adoption**: 12% of customer service interactions now voice-based (projected to reach 25% in 6 months). - **Accuracy**: 91% of voice commands are correctly interpreted and resolved without human intervention. - **User Satisfaction**: 89% of users report the voice feature is "easier than typing" for quick queries. ## Next Steps - Expand language support to include French and German by Q3. - Integrate with RetailChain’s loyalty program to enable voice-based rewards redemption. ```
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