project-overview
Background knowledge about WeReply project architecture, features, and context. Automatically loaded for AI reference, not directly user-invocable.
Profile →npx skills add majiayu000/claude-skill-registry --skill project-overview-cacr92-wereply-4 --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.
# WeReply Project Overview **微信回复建议助手** (WeChat Reply Suggestion Assistant) built with Tauri + Rust + React TypeScript. ## Project Context **WeReply** is a desktop application that monitors WeChat conversations and provides AI-powered reply suggestions using DeepSeek API. The system consists of a Rust Orchestrator, Platform-specific Agents (Windows/macOS), and a React-based Assistant Panel. ### Core Technology Stack **Backend (Rust 2021)**: - **Framework**: Tauri 2.x + Tokio (full async runtime) - **IPC Protocol**: JSON via stdin/stdout - **AI Integration**: reqwest (DeepSeek API client) - **Type Binding**: specta 2.0 + tauri-specta 2.0 (auto TypeScript generation) - **Logging**: tracing + tracing-subscriber - **Configuration**: System keychain (API key storage) + JSON (user config) **Platform Agents**: - **Windows**: Python 3.12 + wxauto v4 (UI Automation) - **macOS**: Swift + Accessibility API - **Communication**: JSON protocol via stdin/stdout **Frontend (React 19.1 + TypeScript 5.8)**: - **UI Framework**: Ant Design 5.26 + Tailwind CSS 4.1 - **State Management**: TanStack Query 5.17 - **Build Tool**: Vite 7.0 - **Window Management**: Tauri Window API (window following) ## Proje
- Project Context
- Core Technology Stack
- Project Structure
- System Architecture
- Data Flow Design
- Key Components
- Core Features
- 1. WeChat Message Monitoring
- 2. AI Reply Suggestions
- 3. Assistant Panel
- 4. IPC Communication
- Project Characteristics
- Development Workflow Context
- Typical Development Scenarios:
What does the project-overview skill do?
Background knowledge about WeReply project architecture, features, and context. Automatically loaded for AI reference, not directly user-invocable.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill project-overview-cacr92-wereply-4 --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.