A powerful AI skill that transforms chaotic Feishu group conversations into structured, searchable records and actionable business intelligence.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install feishu-group-memory
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 feishu-group-memory 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 Feishu Group Memory?
Feishu Group Memory is a specialized integration for Openclaw Skills designed to bridge the gap between team communication and structured data management. By monitoring Feishu group messages, this skill identifies key project updates, customer intent signals, and legal risks, storing them in a structured format for long-term memory.
Unlike simple loggers, this skill uses the OpenClaw model to intelligently categorize information based on industry-specific knowledge packs. Whether you are managing sales leads or tracking engineering blockers, it ensures that critical information buried in chat threads is never lost and remains accessible for queries, summaries, and strategic AI advice.
Feishu Group Memory Use Cases
- Tracking sales leads, quotes, and deal progress directly from team discussions.
- Monitoring customer support tickets and recurring issues mentioned in group chats.
- Capturing project milestones, task updates, and blockers for automated reporting.
- Organizing legal risks and contract discussions into a searchable knowledge base.
- Generating weekly or daily activity summaries to keep stakeholders informed without reading every message.
How Feishu Group Memory Works
- The session begins by checking for a configured industry knowledge pack (Sales, Support, Legal, or Project Management) via onboarding.py.
- The user triggers a recording for a specific Feishu group, and the skill locates the chat and fetches raw message data.
- The OpenClaw model analyzes the raw text, filtering for valuable information and extracting structured fields like urgency, key entities, and categories.
- Analyzed records are saved to the local workspace for persistence and future retrieval.
- Users can then query this 'memory' using natural language to find specific details or generate AI-driven advice and summary reports.
Feishu Group Memory Setup
First, ensure your Feishu credentials are configured in your openclaw.json file. Then, initialize the industry configuration:
# Check if the skill is already configured
python3 {baseDir}/scripts/onboarding.py check --workspace ~/.openclaw/workspace
# If not configured, set up a built-in industry pack (e.g., sales)
python3 {baseDir}/scripts/onboarding.py setup --industry sales --workspace ~/.openclaw/workspace
Feishu Group Memory Data Schema & Taxonomy
The skill organizes data into structured JSON records within the workspace. Key fields include:
| Field | Description |
|---|---|
msg_id |
Unique identifier from Feishu |
key_entity |
The primary person, company, or project involved |
category |
The type of record (e.g., Follow-up, Pricing, Intent) |
urgency |
Priority level: low, medium, or high |
fields |
Custom structured data extracted by the AI |
raw_text |
The original message content for reference |
Feishu Group Memory Advanced Features
- Custom Knowledge Packs: Generate unique extraction templates from plain-language descriptions for niche industries.
- Integrated Billing: Seamlessly handles usage-based charges for AI analysis and reports via SkillPay.
- Natural Language Querying: Search through months of chat history using semantic keywords rather than exact matches.
- AI Advice Engine: Uses stored context and advice templates to suggest concrete next steps for your business operations.
SKILL.md
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