Decrypt WeChat 4.0 databases into readable chat data and AI colleague skills.
npx skills add https://github.com/zhx8702/wechat-colleague --skill wechat-colleague
Please help me install this Agent Skill. Skill: wechat-colleague Source: https://github.com/zhx8702/wechat-colleague/tree/main Command: npx skills add https://github.com/zhx8702/wechat-colleague --skill wechat-colleague
This Skill solves the problem of turning encrypted WeChat 4.0 local chat databases into readable conversations and usable AI coworker/character prompts, without you manually writing decryption or extraction code.
Tell the AI: “Run /wechat-colleague setup to detect your WeChat data directory, extract decryption keys, and decrypt the databases so I can sync and view messages.”
High-intent search queries and answers about installing and using this skill.
To decrypt WeChat 4.0 local databases, you must extract per-database AES-256-CBC keys from the running Weixin.exe process memory. The Skill automates this extraction and applies documented page decryption rules to produce queryable SQLite databases.
Yes, you can view decrypted WeChat chat logs via a generated Flask-based Web viewer. It lists sessions, renders messages including zstd-compressed content, parses quote and reply XML, and supports full-text search.
You distill a target person's WeChat messages into an AI persona by analyzing their chat history with provided analyzer templates. The Skill then generates a colleague-specific SKILL.md alongside work.md, persona.md, and knowledge content for direct AI invocation.
WeChat chat decryption and per-person distillation support Windows, macOS, and WSL environments. The Skill uses a YAML-defined workflow that reads documented encryption and schema rules to generate runtime scripts across these platforms.
The best way to sync new WeChat messages incrementally is by running the Skill's sync command after the initial setup. It processes the decrypted SQLite databases to append new chat records to your existing readable dataset.
The Skill needs pymem to read the live Weixin.exe process memory for extraction keys, and pycryptodome to perform the AES-256-CBC page decryption required to unlock the encrypted local SQLite databases.
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