ai-model-wechat
Use this skill when developing WeChat Mini Programs (小程序, 企业微信小程序, wx.cloud-based apps) that need AI capabilities. Features text generation (generateText) and streaming (streamText) with callback support (onText, onEvent, onFinish) via wx.cloud.extend.AI. Built-in models include Hunyuan (hunyuan-2.0-instruct-20251111 recommended) and DeepSeek (deepseek-v3.2 recommended). API differs from JS/Node SDK - streamText requires data wrapper, generateText returns raw response. NOT for browser/Web apps (use ai-model-web), Node.js backend (use ai-model-nodejs), or image generation (not supported).
npx skills add majiayu000/claude-skill-registry --skill ai-model-wechat --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## When to use this skill Use this skill for **calling AI models in WeChat Mini Program** using `wx.cloud.extend.AI`. **Use it when you need to:** - Integrate AI text generation in a Mini Program - Stream AI responses with callback support - Call Hunyuan models from WeChat environment **Do NOT use for:** - Browser/Web apps → use `ai-model-web` skill - Node.js backend or cloud functions → use `ai-model-nodejs` skill - Image generation → use `ai-model-nodejs` skill (not available in Mini Program) - HTTP API integration → use `http-api` skill --- ## Available Providers and Models CloudBase provides these built-in providers and models: | Provider | Models | Recommended | |----------|--------|-------------| | `hunyuan-exp` | `hunyuan-turbos-latest`, `hunyuan-t1-latest`, `hunyuan-2.0-thinking-20251109`, `hunyuan-2.0-instruct-20251111` | ✅ `hunyuan-2.0-instruct-20251111` | | `deepseek` | `deepseek-r1-0528`, `deepseek-v3-0324`, `deepseek-v3.2` | ✅ `deepseek-v3.2` | --- ## Prerequisites - WeChat base library **3.7.1+** - No extra SDK installation needed --- ## Initialization ```js // app.js App({ onLaunch: function() { wx.cloud.init({ env: "<YOUR_ENV_ID>" }); } }) ``` --- ## generateText()
- When to use this skill
- Available Providers and Models
- Prerequisites
- Initialization
- generateText() - Non-streaming
- streamText() - Streaming
- API Comparison: JS/Node SDK vs WeChat Mini Program
- Type Definitions
- streamText() Input
- streamText() Return
- generateText() Return
- Best Practices
What does the ai-model-wechat skill do?
Use this skill when developing WeChat Mini Programs (小程序, 企业微信小程序, wx.cloud-based apps) that need AI capabilities. Features text generation (generateText) and streaming (streamText) with callback support (onText, onEvent, onFinish) via wx.cloud.extend.AI. Built-in models include Hunyuan (hunyuan-2.0-instruct-20251111 recommended) and DeepSeek (deepseek-v3.2 recommended). API differs from JS/Node SDK - streamText requires data wrapper, generateText returns raw response. NOT for browser/Web apps (use ai-model-web), Node.js backend (use ai-model-nodejs), or image generation (not supported).
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill ai-model-wechat --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.