How does this skill handle WeChat user login?

The skill utilizes CloudBase's native login-free architecture, retrieving the user's OPENID via cloud.getWXContext() in cloud functions, eliminating the need for manual login pages.

Can I use AI models inside my Mini Program?

Yes, for projects using base library version 3.7.1 or higher, this skill provides patterns for direct AI model invocation, such as DeepSeek-v3.

Does it support WeChat Developer Tools?

Yes, it includes specific CLI commands and configuration rules to automatically open and sync your project with the official WeChat Developer Tools on macOS and Windows.

How is WeChat step count data handled?

It uses the secure CloudID method (base library 2.7.0+) to retrieve decrypted health data directly in cloud functions, avoiding insecure session_key decryption.

WeChat Mini Program Development

Name: WeChat Mini Program Development
Author: binggg

bybinggg

Mobile Development

Develops, deploys, and manages WeChat Mini Programs with integrated CloudBase capabilities and AI model support.

About

This skill provides a standardized framework for building WeChat Mini Programs using Claude Code, focusing on CloudBase (TCB) integration and modern development practices. It enforces optimal project structures, handles login-free authentication patterns, and facilitates advanced features such as direct AI model invocation and secure WeChat health data retrieval. By automating configuration and providing CLI hooks for WeChat Developer Tools, it streamlines the workflow from initial page generation to cloud function deployment and final publishing.

Key Features

Automated CloudBase integration for databases, storage, and cloud functions
Login-free authentication patterns using WXContext and OPENID
Direct AI model invocation support for models like DeepSeek-v3
Secure WeChat step count retrieval using the CloudID method
CLI integration for seamless WeChat Developer Tools workflow
0 GitHub stars

Use Cases

Building serverless 3D interactive applications within WeChat
Developing AI-powered chatbots and content generators for mini programs
Implementing data-driven mini programs with cloud-synced user data

About

Key Features

Automated CloudBase integration for databases, storage, and cloud functions
Login-free authentication patterns using WXContext and OPENID
Direct AI model invocation support for models like DeepSeek-v3
Secure WeChat step count retrieval using the CloudID method
CLI integration for seamless WeChat Developer Tools workflow
0 GitHub stars

Use Cases

Building serverless 3D interactive applications within WeChat
Developing AI-powered chatbots and content generators for mini programs
Implementing data-driven mini programs with cloud-synced user data