data-analyst

Translate business questions into SQL, pandas, or spreadsheet formulas.

8|2|Updated Jun 20, 2026
One-click install
npx skills add https://github.com/derob98/ailmanac --skill data-analyst-derob98
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: data-analyst
Source: https://github.com/derob98/ailmanac/tree/main/skills/data-analyst
Command: npx skills add https://github.com/derob98/ailmanac --skill data-analyst-derob98

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the complexities of data analysis, helping users interpret results accurately and avoid common pitfalls in data handling.

Core Features & Use Cases

  • Data Interpretation: Translate data results into plain language.
  • Query/Formula Translation: Convert business questions into SQL, pandas, or spreadsheet formulas.
  • Analysis Planning: Guide users in structuring their data analysis.

Quick Start

Run the 'analyze_data' script with the 'data.csv' file to interpret the results and get insights.

Frequently Asked Questions about data-analyst

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

FAQPage Schema
How do I translate business questions into SQL queries or spreadsheet formulas?

To translate business questions into SQL queries or spreadsheet formulas, this Skill provides a framework that maps plain-language requirements into executable logic, ensuring accurate query formulation for data analysis workflows.

How do I interpret data analysis results and avoid common errors?

Interpreting data analysis results accurately requires translating raw outputs into plain language insights while actively avoiding common data handling pitfalls, which this Skill guides through a structured interpretation framework.

Can I use this for data analysis workflows in both SQL and pandas environments?

Yes, this Skill supports data analysis workflows in SQL, pandas, and spreadsheet environments, providing a unified framework to execute queries and interpret results accurately across these platforms.

What is the best way to plan a data analysis workflow from scratch?

The best way to plan data analysis is by structuring your approach upfront, using this Skill to guide the analysis planning phase before executing formulas or queries to ensure logical data interpretation.

Why does my spreadsheet formula or SQL query return misleading data insights?

Misleading data insights often stem from common data handling errors; this Skill helps identify and avoid these pitfalls by providing a structured framework for accurate data interpretation and query execution.