A comprehensive AI-driven knowledge management system that transforms raw information from multiple sources into high-quality published content.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install knowledge-workflow
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 knowledge-workflow 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 knowledge-workflow?
The knowledge-workflow skill is a sophisticated framework designed for the systematic execution of knowledge lifecycles within Openclaw Skills. It bridges the gap between passive information consumption and active intellectual production by guiding users through a structured pipeline: Collect → Tag → Store → Evolve → Output.
By integrating with popular platforms like Feishu, WeChat Reading, and web URLs, this skill ensures that valuable insights are never lost. Its unique value proposition lies in its 5-tier knowledge evolution system, which uses AI to trigger sparks of inspiration, mental model analysis, and cross-disciplinary perspectives, turning simple notes into actionable wisdom and publishable media.
knowledge-workflow Use Cases
- Personal knowledge management for syncing notes from WeChat Reading, Feishu, and web articles.
- Team knowledge synthesis for organizing meeting minutes and project documentation.
- Self-media and content creation for generating weekly newsletters or blog posts from research.
- Intellectual growth through high-quality AI-assisted 'knowledge germination' and self-reflection.
How knowledge-workflow Works
- Collect: Ingests data from various sources including Feishu documents, WeChat Reading exports, and raw URLs to generate Markdown notes.
- Tag: Automatically assigns multi-dimensional metadata including themes, scenarios, and action-oriented labels.
- Store: Organizes content into a structured knowledge base with automatic bi-directional linking.
- Evolve: Users choose to trigger one of five evolution types (Spark, Model, Cross, Habit, or Subconscious) to refine and deepen the information.
- Output: Converts the evolved knowledge into ready-to-publish formats like WeChat articles or summary reports.
knowledge-workflow Setup
To install and configure the knowledge-workflow within the Openclaw Skills ecosystem, follow these steps:
# Clone the repository and install dependencies
cd knowledge-workflow
pip install -r requirements.txt
# Configure your access tokens for Feishu and other integrations
cp config.yaml.example config.yaml
nano config.yaml
# Verify the installation
python main.py --version
knowledge-workflow Data Schema & Taxonomy
The skill organizes data using a modular structure and specific metadata taxonomy:
| Level | Component | Description |
|---|---|---|
| Metadata | Tags | Includes Theme, Scenario, and Action items |
| Files | Markdown | All ingested and evolved content is stored as .md files |
| Linkage | Bi-directional | Automatic internal linking between related notes |
| Evolution | Quality Grade | Post-evolution notes are marked as High, Medium, or Low quality |
knowledge-workflow Advanced Features
- Multi-source integration support (Feishu, WeChat Reading, URL scraping).
- Five distinct AI germination modes: Spark (insight), Model (mental frameworks), Cross (interdisciplinary), Habit (actionable advice), and Subconscious (reflective adjustment).
- Human-in-the-loop quality control ensuring AI only evolves high-quality information upon user request.
- Seamless compatibility with context-manager for personalized AI memory tracking.
- Automated output templates for professional publishing.
SKILL.md
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