ai-model-wechat

Integrate text generation and streaming into WeChat Mini Programs via wx.cloud.extend.AI.

Updated Mar 5, 2026
One-click install
npx skills add https://github.com/neitui-coder/yolo-growth-map --skill ai-model-wechat-neitui-coder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-model-wechat
Source: https://github.com/neitui-coder/yolo-growth-map/tree/main/.agents/skills/cloudbase/references/ai-model-wechat
Command: npx skills add https://github.com/neitui-coder/yolo-growth-map --skill ai-model-wechat-neitui-coder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the problem of integrating AI text generation and streaming into WeChat Mini Programs, allowing for dynamic text generation and response handling without leaving the platform.

Core Features & Use Cases

  • AI Text Generation: Generate custom text responses based on user input.
  • Streaming Text: Process and provide responses incrementally for interactive scenarios.
  • WeChat Mini Programs Integration: Specifically designed for use within the WeChat ecosystem, supporting text-based interactions.

Quick Start

To generate text for your WeChat Mini Program, activate the skill with the command 'generate text "Your query here"'. To implement streaming text with callbacks, use the command 'stream text "Your query here" --on-text "text callback" --on-event "event callback" --on-finish "finish callback"'

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?

AI text generation in WeChat Mini Programs is integrated using the wx.cloud.extend.AI API to generate custom text responses based on user input. It handles dynamic text generation directly within the WeChat environment without leaving the platform.

Can I stream AI generated text incrementally in WeChat Mini Programs?

Streaming text in WeChat Mini Programs is supported by processing responses incrementally for interactive scenarios. It uses callback support with commands like --on-text and --on-event to deliver response chunks dynamically.

What is the best way to build an interactive chatbot UI in WeChat?

Building an interactive chatbot UI in WeChat is best achieved by combining AI text generation and streaming functionality. This approach uses wx.cloud.extend.AI to provide incremental response delivery, creating a smooth user experience.

Do I need wx.cloud.extend.AI to generate text in WeChat Mini Programs?

Using wx.cloud.extend.AI is required for this AI text generation approach in WeChat Mini Programs. It provides the specific API calls needed to handle dynamic text generation and streaming within the WeChat ecosystem.

How does callback support work when streaming text in WeChat?

Callback support when streaming text in WeChat works by defining specific triggers using --on-text, --on-event, and --on-finish flags. These callbacks process and provide incremental text responses during user interactions.