A comprehensive AI-driven analytics agent that automates data visualization, trend forecasting, and professional report generation from multiple data sources.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-data-analyst-cn
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-data-analyst-cn using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The AI Data Analyst is an advanced analytical agent designed to transform complex raw data into actionable business intelligence. By utilizing Openclaw Skills, this tool automates the tedious aspects of data science, including data cleaning, statistical analysis, and the creation of over 20 types of interactive visualizations like heatmaps and radar charts. It acts as a bridge between raw data files and executive-ready reports, ensuring that even non-technical users can derive deep insights from their information.
This skill goes beyond simple visualization by offering intelligent anomaly detection and predictive modeling. Whether you are analyzing sales trends, monitoring financial performance, or evaluating marketing conversion funnels, the AI Data Analyst provides a professional, AI-powered perspective that highlights hidden patterns and future opportunities. It supports a wide range of formats, ensuring compatibility with existing enterprise workflows and databases.
To get started with this skill, ensure your environment is ready to handle data processing tasks.
# Install the AI Data Analyst skill
openclaw install ai-data-analyst-cn
# (Optional) Set up environment variables for database connections
export DATABASE_URL="mysql://user:password@localhost:3306/analytics_db"
# Run a test analysis on a sample CSV file
openclaw run ai-data-analyst-cn --file sample_sales.csv --type trend
The AI Data Analyst organizes its outputs and handles data structures according to the following schema:
| Component | Format | Description |
|---|---|---|
| Input Sources | CSV, XLSX, JSON, SQL | Raw structured data containing headers and values |
| Metadata | JSON | Analysis configuration, threshold settings, and model parameters |
| Visualizations | SVG/PNG | Dynamic charts including bar, line, pie, and scatter plots |
| Final Reports | PDF, PPT, Excel | Comprehensive documents containing summaries, insights, and predictions |
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