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alexhegit
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Data Analysis Service

Automate data cleaning, statistical analysis, and report generation for CSV, Excel, and JSON datasets.

4|Updated Mar 21, 2026
Search Tags:#visualization#statistics#excel#data-analysis#csv#data-cleaning#report-generation
One-click install
npx skills add https://github.com/alexhegit/sovereign-IQ --skill data-analysis-service
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Data Analysis Service
Source: https://github.com/alexhegit/sovereign-IQ/tree/main/workspace/skills/ai-data-analysis
Command: npx skills add https://github.com/alexhegit/sovereign-IQ --skill data-analysis-service

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, matplotlib, seaborn, jinja2.

What problem does it solve?

This Skill eliminates manual, error-prone data wrangling and one-off analytics by automatically cleaning datasets and generating readable statistical insights and reports.

Core Features & Use Cases

  • CSV/Excel/JSON data processing: Read and normalize tabular data with automatic type inference and standardization.
  • Cleaning & transformation: Remove duplicates and handle missing values, then export in CSV or JSON.
  • Statistics, visualization & reporting: Produce descriptive statistics, support common analyses, and generate charts and exportable reports (PDF/HTML) for stakeholders.
  • Use case: You receive messy sales metrics exported from multiple systems; use this Skill to clean the file, summarize key distributions, detect anomalies, and output a report for trend discussion.

Quick Start

Ask the agent to analyze trends from your CSV by running: openclaw run data-analysis --file data.csv --analysis "sales_trends".

Frequently Asked Questions about Data Analysis Service

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I clean messy CSV and Excel datasets automatically?▼

To clean messy CSV and Excel datasets automatically, this Skill normalizes tabular data, infers types, removes duplicates, and handles missing values. It outputs standardized CSV or JSON files ready for downstream analysis.

How do I generate statistical analysis and charts from a CSV file?▼

You can generate statistical analysis and charts from a CSV file by running the Skill with an analysis command. It computes descriptive statistics, creates visualizations using matplotlib and seaborn, and exports the results.

Can I create PDF or HTML reports from Excel data for stakeholders?▼

Yes, you can create PDF or HTML reports from Excel data. The Skill uses jinja2 to generate exportable reports with embedded charts and statistical summaries, providing readable insights for stakeholder distribution.

Do I need Python to analyze JSON datasets and export reports?▼

Yes, you need a Python environment because the Skill relies on Python-based tabular I/O and libraries like pandas and numpy to process JSON datasets, perform transformations, and export reports.

What's the best way to detect anomalies in sales metrics exported from multiple systems?▼

The best way to detect anomalies in sales metrics is to use this Skill to clean the exported files, compute descriptive statistics to find outliers, and generate visualizations to highlight unusual data distributions.

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