Data Analysis

Analyze SQL, spreadsheet, and notebook data to produce decision-ready reports.

8|1|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/Tugoukezhang/workbuddy-skills --skill data-analysis-tugoukezhang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Data Analysis
Source: https://github.com/Tugoukezhang/workbuddy-skills/tree/main/skills/data-analysis
Command: npx skills add https://github.com/Tugoukezhang/workbuddy-skills --skill data-analysis-tugoukezhang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Data analysis and visualization capabilities that transform raw data into clear, actionable insights, automate reporting, and support evidence-based decisions.

Core Features & Use Cases

  • Data analysis and visualization across SQL, spreadsheets, dashboards, and notebooks
  • Automated reporting, KPI debugging, and executive summaries
  • Cohort, funnel, and anomaly analyses to inform strategy and operational decisions

Quick Start

Analyze a dataset and return a decision-ready report.

Frequently Asked Questions about Data Analysis

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

FAQPage Schema
How do I generate executive reports and dashboards from raw SQL data?

To generate executive reports from SQL data, you apply rigorous analysis using defined metric contracts and chart guidance to transform raw queries into automated reporting and executive summaries.

What is the best way to debug KPI anomalies across business units?

Debugging KPI anomalies involves applying anomaly detection and cohort analysis methodologies to identify metric deviations, providing clear actionable insights for operational decisions.

Can I use notebooks for cohort and funnel analysis to inform strategy?

Yes, notebooks support cohort and funnel analysis by applying structured methodologies that transform raw data into actionable insights and decision-ready outputs for strategic planning.

Do I need defined metric contracts before analyzing spreadsheets?

Yes, clearly defined metric contracts are required before analyzing spreadsheets to ensure rigorous analysis, accurate chart selection, and the generation of decision-ready outputs.

How does experiment readout analysis work for business intelligence?

Experiment readout analysis works by applying structured methodologies to evaluate test results, generating actionable insights and decision-ready reports that support evidence-based decisions across business units.

What are the limitations of automated data visualization without chart guidance?

Without chart guidance and metric contracts, automated data visualization lacks the structured methodology needed to produce accurate, decision-ready outputs and actionable insights from raw data.