Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Loads CSV files and computes descriptive statistics, identifies data quality issues, and generates charts. Supports filtering, grouping, and correlation analysis across numeric columns. Exports cleaned datasets and saves visualizations as PNG files.
Combines data cleaning, statistical summary, filtering, and chart generation in a single conversational workflow without writing any upfront scripts.
When to use it
- Finding which product category drives the most revenue in a sales export
- Spotting outliers in sensor or measurement datasets
- Comparing two experiment groups on a shared numeric metric
- Visualizing monthly trends from an exported app or database report
- Cleaning duplicate or missing-value rows before importing data elsewhere
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: 'Analyze this sales data and tell me which product category has the highest revenue'
- 1Loads the CSV and inspects column names, types, and row count
- 2Identifies relevant columns (category, revenue) and checks for missing values
- 3Groups rows by product category and sums revenue per group
- 4Generates a bar chart of revenue by category saved as a PNG
- 5Returns a ranked summary table with the top category named
A ranked table of product categories by total revenue, a bar chart PNG, and a plain-language answer naming the top category