A specialized tool for converting WeChat chat logs into structured knowledge cards, Feishu databases, and AI training datasets.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install wechat-knowledge-builder
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install wechat-knowledge-builder using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is WeChat Knowledge Builder?
WeChat Knowledge Builder is a robust solution designed to bridge the gap between unstructured social conversations and professional knowledge management. By processing WeFlow JSON exports, it allows users to distill vast amounts of chat history into actionable insights, customer profiles, and professional scripts.
This skill is essential for professionals using Openclaw Skills to maintain a secondary brain. It automates the extraction of key decision factors, communication styles, and relationship links, ensuring that critical information shared in WeChat isn't lost in the scroll but instead preserved in organized Feishu Bitable apps or documents.
WeChat Knowledge Builder Use Cases
- Extracting customer profiles (needs, preferences, and names) from sales conversations.
- Building a personal knowledge base from expert-led WeChat group discussions.
- Generating high-quality training data for personal AI avatars based on communication styles.
- Organizing business decision records including pricing, delivery terms, and contracts.
- Creating relationship maps and follow-up reminders based on interaction history.
How WeChat Knowledge Builder Works
- The system reads the raw WeFlow JSON export containing message IDs, timestamps, and content using document parsing tools.
- It analyzes the chat stream across four dimensions: Customer Profiling, Common Scripts, Key Decisions, and Relationship Links.
- Structured knowledge cards are generated using predefined Markdown templates that summarize core information and communication styles.
- The processed data is automatically synced to external platforms like Feishu Bitable or Feishu Docs for long-term storage and retrieval.
WeChat Knowledge Builder Setup
To get started with WeChat Knowledge Builder within the Openclaw Skills ecosystem, ensure you have your WeFlow JSON files ready and follow these steps:
# Navigate to your export directory
cd /path/to/weflow_export
# Verify the JSON structure exists
ls *.json
# Trigger the extraction process via Openclaw
# (Ensure Feishu API tokens are configured in your environment)
WeChat Knowledge Builder Data Schema & Taxonomy
The skill processes a specific JSON input and produces a structured output in Feishu or Markdown.
Input JSON Schema
| Field | Description |
|---|---|
| msg_id | Unique identifier for the message |
| msg_time | Timestamp of the communication |
| talker | The sender of the message |
| content | The text or media content |
| avatar | URL to the user's avatar |
Recommended Feishu Bitable Fields
- Subject: Person or Topic name
- Category: Customer, Supplier, Team, or Other
- Key Needs: Rich text summary of pain points
- Style: Analysis of communication tone
- Last Follow-up: Date of last interaction
- Knowledge Card: Full Markdown-formatted insight
WeChat Knowledge Builder Advanced Features
- Multi-agent support for simultaneous analysis of multiple chat threads.
- Automated syncing to Feishu Bitable using feishu_bitable_app hooks.
- Style and tone extraction for fine-tuning LLMs to mimic specific personas.
- Deep integration with Openclaw Skills for cross-referencing chat data with existing project docs.
- Batch processing of historical archives to create comprehensive yearly interaction summaries.
SKILL.md
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