| 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
- Mini program code in
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
- Check
Handle resources properly
- Download icon images (e.g., tabbar iconPath) from Unsplash or similar sources
- 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
- When generating mini program pages, must include page configuration files such as
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.jsonhasappidfield 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"
- Windows:
- Project root directory path is the directory containing
project.config.jsonfile
CloudBase Integration
Environment Configuration:
- When using
wx.cloudin mini program, need to specify environment ID - Environment ID can be queried via
envQuerytool
- When using
Resource Management:
- When generating mini program code, if material images are needed, such as tabbar's
iconPathand other places, can download from Unsplash via URL - Can refer to workflow's download remote resources process
- When generating mini program code, if using
iconPathand similar, must simultaneously help user download icons to avoid build errors
- When generating mini program code, if material images are needed, such as tabbar's
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().OPENIDUser 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, usewx.cloud.CloudID(cloudID)to pass to cloud function - Cloud Function: Directly use
weRunData.datato get decrypted step count data, checkweRunData.errCodeto 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