wechat-daily

To generate investment research reports from WeChat chat records, this skill extracts local chat text, clusters and removes duplicate messages across groups, and outputs a structured report. You can trigger it with the command "生成日报".

Yes, WeChat chat analysis automatically clusters and removes duplicate messages across multiple groups. This data clustering process ensures your final investment research report contains only unique, relevant insights.

Yes, you need pycryptodome and zstandard to analyze local WeChat messages. These libraries handle the encryption and compression required to extract and process chat text for investment research purposes.

The best way to automate daily investment research from chat data is to use a skill that reads local WeChat records, clusters messages, and generates structured reports. Simply run the command "微信复盘" to trigger the automated workflow.

Local WeChat chat records are suitable for data clustering and report generation if you are an investment professional. The skill processes these local records directly to deduplicate text and output structured investment research reports.

WeChat data clustering requires encryption and compression dependencies because local chat records are stored in encrypted and compressed formats. The pycryptodome and zstandard libraries decode these files to extract readable text for report generation.