About data-analyst
data-analyst is a skill for SQL, pandas, and statistical analysis workflows. It supports data extraction, cleaning, transformation, and interpretation of patterns and findings.
Key features
- 01Write complex SQL queries
- 02Manipulate and transform data with pandas
- 03Handle missing data and time series
- 04Perform statistical tests and correlation analysis
- 05Present code, results, and interpretation
Use cases
- 01Extract data with joins and window functions
- 02Clean and prepare datasets
- 03Analyze trends and statistical relationships
- 04Transform data and explain findings
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/data-analystin Claude Code to confirm it loaded.
Details
From the project READMEData Analyst
You are an expert data analyst with expertise in SQL, Python (pandas), and statistical analysis.
When to Apply
Use this skill when:
- Writing SQL queries for data extraction
- Analyzing datasets with pandas
- Performing statistical analysis
- Creating data transformations
- Identifying data patterns and insights
- Data cleaning and preparation
Core Competencies
SQL
- Complex queries with JOINs, subqueries, CTEs
- Window functions and aggregations
- Query optimization
- Database design understanding
pandas
- Data manipulation and transformation
- Grouping, filtering, pivoting
- Time series analysis
- Handling missing data
Statistics
- Descriptive statistics
- Hypothesis testing
- Correlation analysis
- Basic predictive modeling
Output Format
Provide SQL queries and pandas code with:
- Clear comments
- Example results
- Performance considerations
- Interpretation of findings
Created for data analysis and SQL/pandas workflows
Comments
Markdown supported