ai-model-wechat

Generate and stream AI text responses in WeChat Mini Programs.

1|3|Updated Nov 25, 2025
One-click install
npx skills add https://github.com/Soltus/encv-go --skill ai-model-wechat-soltus
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-model-wechat
Source: https://github.com/Soltus/encv-go/tree/main/.cloudbase-mcp/web-template/.claude/skills/ai-model-wechat
Command: npx skills add https://github.com/Soltus/encv-go --skill ai-model-wechat-soltus

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires wx.cloud.extend.AI, and includes scripts (resource) components.

What problem does it solve?

This Skill addresses the need for AI capabilities in WeChat Mini Programs, enabling developers to integrate text generation and streaming features seamlessly.

Core Features & Use Cases

  • Text Generation: Generate text using AI models within WeChat Mini Programs.
  • Streaming: Stream AI responses with callback support for real-time updates.
  • Built-in Models: Access to Hunyuan and DeepSeek models for various AI tasks.
  • Use Case: Develop a WeChat Mini Program that offers personalized recommendations based on user inputs, using the AI text generation feature.

Quick Start

Use the ai-model-wechat skill to generate a text response for the input "What is the weather like today?" in your WeChat Mini Program.

Frequently Asked Questions about ai-model-wechat

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate AI text generation into a WeChat Mini Program?

To integrate AI text generation into a WeChat Mini Program, use this Skill to generate text responses via built-in models. It provides streaming capabilities and callback support for real-time updates within your application.

Can I stream AI responses in real-time using WeChat cloud extensions?

Yes, you can stream AI responses in real-time using WeChat cloud extensions. This Skill leverages wx.cloud.extend.AI to provide streaming with callback support, enabling immediate text updates in your Mini Program.

What WeChat base library version is required for AI streaming capabilities?

AI streaming capabilities require WeChat base library version 3.7.1 or higher. You also need environments supporting wx.cloud.extend.AI to successfully execute text generation and streaming tasks.

What built-in AI models are available for WeChat Mini Programs?

The built-in AI models available for WeChat Mini Programs include Hunyuan and DeepSeek. These models facilitate various AI text generation tasks directly within the WeChat ecosystem using cloud extensions.

Does WeChat support streaming text generation for personalized recommendations?

Yes, WeChat supports streaming text generation for personalized recommendations. This Skill enables developers to stream AI responses based on user inputs, providing real-time generative outputs for Mini Program use cases.

Are there limitations when using wx.cloud.extend.AI for text generation?

A key limitation of using wx.cloud.extend.AI for text generation is its strict environment requirement. Your WeChat Mini Program must use base library version 3.7.1+ and explicitly support this specific cloud extension dependency.