Data Analyst

Analyze uploaded data files and generate concise reports in DOCX or PDF.

Updated Mar 21, 2026
One-click install
npx skills add https://github.com/Aken-Teams/ai-agents-office --skill data-analyst-aken-teams
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Data Analyst
Source: https://github.com/Aken-Teams/ai-agents-office/tree/main/server/src/skills/data-analyst
Command: npx skills add https://github.com/Aken-Teams/ai-agents-office --skill data-analyst-aken-teams

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze uploaded data files (CSV, Excel, JSON, etc.) and generate insights or reports.

Core Features & Use Cases

  • Read and parse data files (CSV, Excel, JSON, TXT, Markdown, PDF)
  • Perform data analysis (statistical summaries, trend detection, outlier detection, correlations)
  • Generate reports (DOCX or PDF) and export insights
  • Clean, filter, and transform data for ready-to-use outputs

Quick Start

Analyze the uploaded data file and generate an insights report.

Frequently Asked Questions about Data Analyst

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

FAQPage Schema
How do I generate a data analysis report from a CSV or Excel file?

To generate a data analysis report from a CSV or Excel file, upload your dataset to automatically extract statistical summaries, detect trends, and export concise insights as a DOCX or PDF file.

Can I clean and transform data before generating insights?

Yes, you can clean and transform data before generating insights. The tool supports basic data cleaning, filtering, and transformation steps to produce ready-to-use outputs for your analysis.

What file formats can I use for data analysis and report generation?

Supported file formats for data analysis and report generation include CSV, Excel, JSON, TXT, Markdown, and PDF, with final insights exported as editable DOCX or PDF documents.

Does PDF data extraction work for identifying trends and correlations?

PDF data extraction works for identifying trends and correlations by parsing uploaded PDF files, detecting outliers, and summarizing key statistical findings into a concise report.

What is the best way to summarize key findings from uploaded JSON data?

The best way to summarize key findings from uploaded JSON data is to upload the file for automated parsing, which identifies statistical summaries and correlations, then exports the results as a PDF or DOCX report.