ClkLog is a professional open-source user behavior analysis and profiling system utilizing ClickHouse for high-performance data storage.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clklog-deployment
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 clklog-deployment 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 ClkLog Local Deployment?
ClkLog provides a robust framework for capturing and analyzing user behavior across Web, App, and Mini Program environments. By utilizing the Sensors Analytics SDK and ClickHouse storage, it offers a powerful alternative to proprietary analytics suites. This system is designed for developers who need deep insights into traffic overviews, user personas, and data export capabilities. With Openclaw Skills, you can deploy this front-to-back separated architecture to gain full control over your behavioral data while maintaining high performance and scalability.
ClkLog Local Deployment Use Cases
- Multi-terminal data collection for comprehensive tracking of Web, App, and Mini Program users.
- Building detailed user profiles and personas to drive product optimization and marketing strategies.
- Real-time traffic analysis focusing on channels, equipment, geography, and visitor types.
- Secure, self-hosted data analytics to ensure compliance and data sovereignty in enterprise environments.
How ClkLog Local Deployment Works
- Hardware and software validation ensures the environment meets the minimum 4-core CPU and 8GB RAM requirements.
- Choice of deployment mode allows for Quick Mode (direct writing to ClickHouse) or Standard Mode (buffering via Kafka and Flink).
- Service initialization through Openclaw Skills configures the necessary Docker containers or source code dependencies.
- Data ingestion occurs via integrated SDKs that capture events and send them to the receiver service.
- ClickHouse processes and stores the data, making it available for the Vue-based frontend dashboard.
ClkLog Local Deployment Setup
To begin deployment on a Linux server (Ubuntu 22.04 recommended), ensure Docker 24+ and Docker Compose 2.27.0+ are installed. Using Openclaw Skills, execute the following commands:
# Initialize the directory structure
./init-directory.sh
# Navigate to the configuration directory
cd clklog-docker-compose
# Launch the analytics services
docker-compose up -d
For source code deployment, you will need JDK 11+, Maven, and Node.js 14+ to build the backend and frontend components respectively.
ClkLog Local Deployment Data Schema & Taxonomy
The skill organizes its technical ecosystem across several specialized data stores:
| Component | Role | Description |
|---|---|---|
| ClickHouse | Primary Storage | High-performance storage for behavioral logs and event data. |
| MySQL | Metadata | Stores system configurations, user permissions, and management data. |
| Redis | Cache | Handles session data and real-time caching for performance. |
| Kafka | Buffer | Acts as a message queue in Standard Mode to prevent data loss. |
| Zookeeper | Coordination | Manages distributed synchronization for Kafka and ClickHouse clusters. |
ClkLog Local Deployment Advanced Features
- Support for high-availability clusters using Kafka and Flink for massive data throughput.
- Switchable architectural modes to balance between resource consumption and data reliability.
- Extensible backend API and customizable Vue frontend for bespoke enterprise requirements.
- Integration support for external databases and middleware to fit existing infrastructure via Openclaw Skills configurations.
SKILL.md
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