Analyze raw data with SQL and Python to generate business insights.
npx skills add https://github.com/sandmark78/workspace --skill data-analyst-sandmark78
Please help me install this Agent Skill. Skill: data-analyst Source: https://github.com/sandmark78/workspace/tree/main/skills/data-analyst Command: npx skills add https://github.com/sandmark78/workspace --skill data-analyst-sandmark78
Data analysis and reporting are often slowed by manual data gathering, inconsistent workflows, and brittle spreadsheet processes. This skill automates SQL querying, spreadsheet analysis, data cleaning, visualization, and automated report generation to transform raw data into actionable insights.
Place data files into the data/ directory, configure data sources, and start running queries and analyses to generate outputs.
High-intent search queries and answers about installing and using this skill.
You can automate SQL querying and data cleaning by running scripts that process raw datasets, extract meaningful data from databases, and fix formatting inconsistencies to generate structured business insights.
Yes, SQL queries can be executed across sqlite3, psql, and mysql databases to extract meaningful datasets, supporting structured data extraction and reproducible analysis workflows for business intelligence.
The best way to generate automated reports is by processing spreadsheet data through cleaning and descriptive statistics, then creating charts and structured reports to communicate actionable findings to stakeholders.
To clean CSV and Excel files, identify and fix missing values, outliers, and formatting inconsistencies using Python scripts, transforming raw spreadsheet data into clean inputs ready for dashboard visualization.
Yes, this data analysis approach supports reproducible workflows by applying SQL, Python, and common data tools to compute descriptive statistics, summaries, and trend analyses across databases and files.
To start analyzing data, you need to place data files into the data directory and configure your data sources, enabling the scripts to run queries, process spreadsheets, and generate automated reports.
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