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npx skills add TencentCloudBase/skills --skill "miniprogram-development"
Install specific skill from multi-skill repository
# Description
WeChat Mini Program development rules. Use this skill when developing WeChat mini programs, integrating CloudBase capabilities, and deploying mini program projects.
# SKILL.md
name: miniprogram-development
description: WeChat Mini Program development rules. Use this skill when developing WeChat mini programs, integrating CloudBase capabilities, and deploying mini program projects.
alwaysApply: false
When to use this skill
Use this skill for WeChat Mini Program development when you need to:
- Develop WeChat mini program pages and components
- Integrate CloudBase capabilities (database, cloud functions, storage)
- Deploy and preview mini program projects
- Handle mini program authentication and user identity
- Call AI models in mini programs
- Get WeChat step count data
Do NOT use for:
- Web frontend development (use web-development skill)
- Backend service development (use cloudrun-development skill)
- UI design only (use ui-design skill, but may combine with this skill)
How to use this skill (for a coding agent)
- Follow project structure conventions
- Mini program code in
miniprogramdirectory - Cloud functions in
cloudfunctionsdirectory - Use latest base library version
-
Include page configuration files (e.g., index.json) when generating pages
-
Understand authentication characteristics
- Important: Mini programs with CloudBase are naturally login-free
- Never generate login pages or login flows
-
Get user identity via
cloud.getWXContext().OPENIDin cloud functions -
Use WeChat Developer Tools correctly
- Check
project.config.jsonhasappidfield before opening -
Use CLI command to open project pointing to directory containing
project.config.json -
Handle resources properly
- Icons8 (Recommended): Use Icons8 for icon images (e.g., tabbar iconPath)
- URL format:
https://img.icons8.com/{style}/{size}/{color}/{icon-name}.png - Parameters:
style:ios(outline style) orios-filled(filled style)size:100(recommended 100px, file size < 5KB)color: hex color code without # (e.g.,8E8E93for gray,FF3B30for red)icon-name: icon name (e.g.,checked--v1)- Examples:
- Unselected (gray outline):
https://img.icons8.com/ios/100/8E8E93/checked--v1.png - Selected (red filled):
https://img.icons8.com/ios-filled/100/FF3B30/checked--v1.png - Advantages:
- ✅ Very small file size (usually < 3KB)
- ✅ Supports custom colors
- ✅ Clean and professional icons
- URL format:
- Use
downloadRemoteFiletool to download resources - Avoid build errors by ensuring all referenced resources exist
WeChat Mini Program Development Rules
Project Structure
- CloudBase Integration:
- If user needs to develop mini program, you will use various WeChat CloudBase capabilities to develop the project
-
Mini program base library should use
latestversion -
Directory Organization:
- Mini program projects follow WeChat CloudBase best practices
- Mini program code is generally in
miniprogramdirectory - If developing cloud functions, they can be stored in
cloudfunctionsdirectory -
Mini program's
project.config.jsonneeds to specifyminiprogramRootand other configurations -
Page Generation:
- When generating mini program pages, must include page configuration files such as
index.json - Must comply with specifications to avoid compilation errors
Development Tools
WeChat Developer Tools Opening Project Workflow:
- When detecting current project is a mini program project, suggest user to use WeChat Developer Tools for preview, debugging, and publishing
- Before opening, confirm project.config.json has appid field configured. If not configured, must ask user to provide it
- Use WeChat Developer built-in CLI command to open project (pointing to directory containing project.config.json):
- Windows: "C:\Program Files (x86)\Tencent\微信web开发者工具\cli.bat" open --project "项目根目录路径"
- macOS: /Applications/wechatwebdevtools.app/Contents/MacOS/cli open --project "/path/to/project/root"
- Project root directory path is the directory containing project.config.json file
CloudBase Integration
- Environment Configuration:
- When using
wx.cloudin mini program, need to specify environment ID -
Environment ID can be queried via
envQuerytool -
Resource Management:
- When generating mini program code, if material images are needed, such as tabbar's
iconPathand other places, prefer Icons8 (see section 4 above for details) - Use
downloadRemoteFiletool to download resources - When generating mini program code, if using
iconPathand similar, must simultaneously help user download icons to avoid build errors
Mini Program Authentication Characteristics
Important: Mini programs with CloudBase are naturally login-free. It is strictly forbidden to generate login pages or login flows!
-
Login-Free Feature: Mini program CloudBase does not require user login, can get user identity in cloud functions via wx-server-sdk
-
User Identity Retrieval: In cloud functions, get user's unique identifier via
cloud.getWXContext().OPENID -
User Data Management: Manage user data in cloud functions based on openid, no login flow needed
// Example of getting user identity in cloud function
exports.main = async (event, context) => {
const wxContext = cloud.getWXContext();
const openid = wxContext.OPENID;
return { openid: openid };
};
AI Model Invocation
Mini programs with base library version 3.7.1+ already support direct AI model invocation
// Create model instance, here we use DeepSeek AI model
const model = wx.cloud.extend.AI.createModel("deepseek");
// First set AI's system prompt, here using seven-character quatrain generation as example
const systemPrompt =
"请严格按照七言绝句或七言律诗的格律要求创作,平仄需符合规则,押韵要和谐自然,韵脚字需在同一韵部。创作内容围绕用户给定的主题,七言绝句共四句,每句七个字;七言律诗共八句,每句七个字,颔联和颈联需对仗工整。同时,要融入生动的意象、丰富的情感与优美的意境,展现出古诗词的韵味与美感。";
// User's natural language input, e.g., '帮我写一首赞美玉龙雪山的诗'
const userInput = "帮我写一首赞美玉龙雪山的诗";
// Pass system prompt and user input to AI model
const res = await model.streamText({
data: {
model: "deepseek-v3", // Specify specific model
messages: [
{ role: "system", content: systemPrompt },
{ role: "user", content: userInput },
],
},
});
// Receive AI model's response
// Since AI model's return result is streaming, we need to loop to receive complete response text
for await (let str of res.textStream) {
console.log(str);
}
WeChat Step Count Retrieval
WeChat step count retrieval must use CloudID method (base library 2.7.0+):
- Frontend: wx.getWeRunData() to get cloudID, use wx.cloud.CloudID(cloudID) to pass to cloud function
- Cloud Function: Directly use weRunData.data to get decrypted step count data, check weRunData.errCode to handle errors
- Forbidden: Do not use session_key manual decryption method, CloudID is more secure and simple
- Required: Must implement fallback mechanism (simulated data) to handle cloudID retrieval failure cases
Cloud Function Deployment and Permission Notes
- After AI automatically deploys cloud functions, special permissions like cloud invocation may be missing
- Recommend users to right-click cloud function in WeChat Developer Tools, select "Install Dependencies in Cloud"
- For functions requiring cloud invocation permissions (such as WeChat step count decryption), recommend manually deploying once via Developer Tools to get complete permissions
- If encountering permission issues, prompt user to check cloud function's service authorization and API permission configuration
Development Workflow Guidance
- After completing mini program project development, proactively suggest user to use WeChat Developer Tools for preview, debugging, and publishing
- If user agrees, use CLI command to open WeChat Developer Tools, pointing to project root directory containing
project.config.json - Remind user to perform real device preview, debugging, and publishing operations in WeChat Developer Tools
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.