wechat-chat-analyzer

What problem does it solve?

WeChat's encrypted local databases are difficult to explore manually, so deriving intimacy insights, emotional trends, and behavior patterns from one-on-one chats is time-consuming and error-prone. This skill automates the decryption, data loading, and conversation parsing so the agent can deliver a data-backed report without the user touching SQL or plotting code.

Core Features & Use Cases

• Automated decryption and retrieval: vendor helpers pull AES keys from a logged-in Windows WeChat or accept pre-decrypted macOS data so the pipeline can immediately load contacts and messages.
• Deep quantitative analysis: the stats engine computes initiative rates, reply speed tiers, monthly and hourly distributions, high-frequency words, and milestone moments for the named friend.
• Visual exports and summaries: generate heatmaps, reply pie charts, word clouds, TXT/CSV/HTML exports, and a JSON report that the LLM reads to craft an insightful relationship narrative.

Quick Start

Ask the skill to analyze my chat with 张三 by saying 分析我和张三的微信聊天记录 so it runs the automated Python analyzer immediately.