微信聊天记录知识卡片提取工具

微信聊天记录知识卡片提取工具。将WeFlow导出的JSON数据转换为个人知识库、知识卡片和个人分身训练数据。触发场景：(1) 用户需要分析微信聊天记录；(2) 从微信数据中提取知识卡片；(3) 构建个人知识库；(4) 整理客户画像；(5) 生成训练数据用于AI分身。

This skill will parse local WeFlow JSON into a markdown knowledge card (parse_weflow.py does that and nothing more). However, SKILL.md promises automatic storage to Feishu using feishu_bitable_app / feishu_create_doc but the package provides no Feishu integration code or declared credentials. Before installing or running: 1) Confirm where Feishu auth would come from — ask the author for required env vars or an implementation of the Feishu calls. 2) If you plan to upload chat logs to any cloud service, ensure you have consent and appropriate privacy controls. 3) Inspect and run parse_weflow.py locally on sample data to verify behavior (it only writes a markdown file). 4) If you need Feishu automation, prefer a version that clearly documents required tokens, scopes, and uses official SDKs or well-known CLIs rather than relying on unspecified feishu_* tools. 5) If you do not intend to send data out, run the script offline and do not provide any credentials to the agent.

Type: OpenClaw Skill Name: wechat-knowledge-builder Version: 1.0.0 The skill bundle is a legitimate tool for processing WeChat chat logs exported via WeFlow into knowledge cards and Feishu documents. The Python script (parse_weflow.py) performs basic data aggregation and keyword counting without any network calls, obfuscation, or dangerous execution patterns, and the instructions in SKILL.md are strictly aligned with the stated purpose of data organization.