What problem does it solve? Accessing your own WeChat chat history, contacts, and favorites normally requires manual scrolling through the app, with no way to search, export, or analyze conversations programmatically. This Skill lets an AI agent query locally stored WeChat data from the command line and return structured JSON results. ## Core Features & Use Cases - Chat History & Search: Read message history, search across one or multiple chats, and filter by date range or message type (text, image, file, link, etc.). - Contacts, Groups & Stats: Look up contact details, list group members, and generate chat analytics such as message counts, top senders, and activity distribution. - Export & Monitoring: Export conversations to Markdown or TXT, list unread sessions, and track new messages incrementally for cron-based monitoring. - Use Case: Ask your agent to find every message mentioning "deadline" across three project groups from last month, then export the relevant conversation to a Markdown file for a weekly report. ## Quick Start Ask the agent to run wechat-cli sessions to list your recent WeChat chats, then use wechat-cli history with a chat name to read recent messages.