data-analysis
Data analysis skill providing three core functions: data analysis, data interpretation, and data visualization. **Use Cases**: (1) Data Analysis - Statistics, filtering, aggregation, calculation (e.g., "Calculate total sales", "Filter data greater than 100") (2) Data Interpretation - Trend analysis, pattern discovery, report generation (e.g., "Analyze sales trends", "Interpret data changes") (3) Data Visualization - Chart generation, data display (e.g., "Draw a bar chart", "Generate a pie chart") **Trigger Keywords**: analyze data, statistics, calculate, interpret trends, generate chart, visualize, plot **Prerequisites**: Set environment variable CHARTGEN_API_KEY (obtain from chartgen.ai)
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/cuifangxu123/analyse-dataChartGen Data Analysis
Data analysis skill based on ChartGen API, supporting natural language-based data analysis, interpretation, and visualization.
Overview
This skill enables codeless data analysis through natural language interaction. It supports Text2SQL, Text2Data, and Text2Code analysis. Simply provide Excel/CSV files or JSON data to automatically execute data queries, data interpretation, and data visualization (ChatBI).
The skill will intelligently parse time, metrics, and analytical dimensions through conversational queries, then generate SQL queries for data, create interactive BI charts, structured analysis reports. Optimized for standardized vertical datasets, powered by enterprise-grade analytics engine for reliable results.
API Service: This skill uses the ChartGen API service hosted at chartgen.ai. All data is sent to https://chartgen.ai/api/platform_api/ for processing.
Quick Start
1. Apply for an API Key
You can easily create and manage your API Key at chartgen.ai. To begin with, you need to register for an account.
Steps:
- Visit chartgen.ai and sign up for an account
- Access the API management dashboard
- Create a new API and set the credit consumption limit
- Copy the API Key for use
2. Configure Environment Variable
export CHARTGEN_API_KEY="your-api-key-here"
3. Run Scripts
# Data Analysis
python scripts/data_analysis.py --query "Calculate total sales by region" --file sales.xlsx
# Data Interpretation
python scripts/data_interpretation.py --query "Analyze sales trends" --file sales.xlsx
# Data Visualization
python scripts/data_visualization.py --query "Draw a bar chart of sales by region" --file sales.xlsx
Credit Rules
- Calling a single tool consumes 20 credits
- You get 200 free credits per month for free accounts
- When credits run out, you can purchase more or upgrade your account on the chartgen.ai Billing page
Scripts Reference
| Script | Function | Use Case |
|---|---|---|
data_analysis.py | Data Analysis | Statistics, filtering, aggregation, calculation |
data_interpretation.py | Data Interpretation | Trend analysis, pattern discovery, report generation |
data_visualization.py | Data Visualization | Chart generation, data display |
Parameters
Common Parameters
| Parameter | Required | Description |
|---|---|---|
--query | ✅ | Natural language query statement |
--file | ❌ | Local file path (.xlsx/.xls/.csv), mutually exclusive with --json |
--json | ❌ | JSON data (string or file path), mutually exclusive with --file |
Visualization Specific Parameters
| Parameter | Description |
|---|---|
--output, -o | Output HTML file path (defaults to /tmp/openclaw/charts/) |
Data Format
File Format
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-cuifangxu123-analyse-data": {
"enabled": true,
"auto_update": true
}
}
}Related Skills
chartgen
Chartgen skill providing three core functions: data analysis, data interpretation, and data visualization. **Use Cases**: (1) Data Analysis - Statistics, filtering, aggregation, calculation (e.g., "Calculate total sales", "Filter data greater than 100") (2) Data Interpretation - Trend analysis, pattern discovery, report generation (e.g., "Analyze sales trends", "Interpret data changes") (3) Data Visualization - Chart generation, data display (e.g., "Draw a bar chart", "Generate a pie chart") **Trigger Keywords**: analyze data, statistics, calculate, interpret trends, generate chart, visualize, plot **Prerequisites**: Set environment variable CHARTGEN_API_KEY (obtain from chartgen.ai)
data-analysis
Data analysis skill providing three core functions: data analysis, data interpretation, and data visualization. **Use Cases**: (1) Data Analysis - Statistics, filtering, aggregation, calculation (e.g., "Calculate total sales", "Filter data greater than 100") (2) Data Interpretation - Trend analysis, pattern discovery, report generation (e.g., "Analyze sales trends", "Interpret data changes") (3) Data Visualization - Chart generation, data display (e.g., "Draw a bar chart", "Generate a pie chart") **Trigger Keywords**: analyze data, statistics, calculate, interpret trends, generate chart, visualize, plot **Prerequisites**: Set environment variable CHARTGEN_API_KEY (obtain from chartgen.ai)
agentify
Analyze, rewrite, and generate design specs to make web pages and websites more easily usable by AI agents, web scrapers, and automation tools. Use when (1) evaluating how agent-friendly, accessible (a11y), or machine-readable a web page or HTML/JSX/Vue/Svelte code is, (2) rewriting web templates to add semantic markup, ARIA, structured data (schema.org / JSON-LD), and stable selectors (data-testid) for tools like Playwright, Puppeteer, Cypress, or Selenium, (3) generating agent-friendly design specification documents for development teams covering SEO, accessibility, and GEO (Generative Engine Optimization). Triggers on phrases like "agent-friendly", "make this page work with agents", "analyze for automation", "agentify", "improve SEO", "add structured data", "add data-testid", "web scraping friendly", "machine-readable", "a11y audit", "crawler-friendly".
data-analysis-pro
Data analysis pro skill providing three core functions: data analysis, data interpretation, and data visualization. **Use Cases**: (1) Data Analysis - Statistics, filtering, aggregation, calculation (e.g., "Calculate total sales", "Filter data greater than 100") (2) Data Interpretation - Trend analysis, pattern discovery, report generation (e.g., "Analyze sales trends", "Interpret data changes") (3) Data Visualization - Chart generation, data display (e.g., "Draw a bar chart", "Generate a pie chart") **Trigger Keywords**: analyze data, statistics, calculate, interpret trends, generate chart, visualize, plot **Prerequisites**: Set environment variable CHARTGEN_API_KEY (obtain from chartgen.ai)