AI Data Analyst for Openclaw

A comprehensive AI-driven analytics agent that automates data visualization, trend forecasting, and professional report generation from multiple data sources.

huyong2023
v1.0.0
Mar 4, 2026
1
1.6k
13

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install ai-data-analyst-cn

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is AI Data Analyst?

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.

AI Data Analyst Use Cases

  • Sales performance analysis to identify top-performing products and regional trends.
  • User behavior modeling and churn prediction to improve customer retention.
  • Financial auditing and cash flow forecasting for better budget management.
  • Operational anomaly detection to flag system failures or sudden drops in conversion metrics.

How AI Data Analyst Works

  1. Data Connection: Users upload CSV, Excel, or JSON files, or connect directly to MySQL and PostgreSQL databases.
  2. Parameter Selection: Choose the analysis type such as trend analysis, correlation study, or time-series forecasting.
  3. AI Processing: The agent cleans the input data and applies machine learning models to identify patterns and anomalies.
  4. Insight Generation: AI generates natural language descriptions and professional recommendations based on the statistical results.
  5. Export: The final output is compiled into a professional report and exported as PDF, PPT, or Excel for distribution.

AI Data Analyst Setup

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

AI Data Analyst Data Schema & Taxonomy

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

AI Data Analyst Advanced Features

  • Time-series forecasting with confidence intervals to predict future performance.
  • Multi-source data correlation to discover relationships between disparate datasets.
  • Intelligent anomaly detection with automated root-cause analysis and alerting.
  • API integration for programmatic report generation and real-time monitoring workflows.
  • Enterprise-grade private deployment options for sensitive data auditing and security.

SKILL.md


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