mama-message — Family Chat Reports & Reply Drafts

mama-message helps you look through conversations with your mom, dad, grandparents, or other family members and find a useful next reply.

Start with a WeFlow JSON export, a supported CSV/TXT export, pasted text, or screenshots. The skill identifies the two participants, calculates message counts and reply patterns, and helps your agent write a grounded report using the actual conversation. It also creates two HTML cards and a ready-to-send message with a concrete time to call or catch up.

Features include:

• Message counts, conversation initiators, reply times, short replies, and unanswered messages.
• Chinese-language report text and reply drafts grounded in your supplied messages and computed statistics.
• A full HTML report and two shareable cards.
• Optional reply practice and comparisons across family or friend conversations.
• Local redaction tools; transfers are counted without recording amounts.

Requirements: an AI agent able to read files and run Python 3.8 or later. The included scripts use the Python standard library and make no network requests. Screenshot input needs an agent that can read images. Exporting WeChat history is a separate user-controlled step; this skill does not decrypt WeChat databases.

The skill is designed primarily for Chinese conversations and Chinese output. HTML cards can be opened in a browser and captured as images. Records provided to an online AI agent are processed according to that agent provider's data policies. The reports describe communication patterns and are not psychological assessments.

Free and open source under the MIT license.