data-analyst
SQL, pandas, and statistical analysis expertise for data exploration and insights. Use when: analyzing data, writing SQL queries, using pandas, performing statistical analysis, or when user mentions data analysis, SQL, pandas, statistics, or needs help exploring datasets.
Best use case
data-analyst is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
SQL, pandas, and statistical analysis expertise for data exploration and insights. Use when: analyzing data, writing SQL queries, using pandas, performing statistical analysis, or when user mentions data analysis, SQL, pandas, statistics, or needs help exploring datasets.
Teams using data-analyst should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/data-analyst/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How data-analyst Compares
| Feature / Agent | data-analyst | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
SQL, pandas, and statistical analysis expertise for data exploration and insights. Use when: analyzing data, writing SQL queries, using pandas, performing statistical analysis, or when user mentions data analysis, SQL, pandas, statistics, or needs help exploring datasets.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Data 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*
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