Agent skill · data analytics · aiskillstore
data-analysis
Analyze datasets to extract insights, identify patterns, and generate reports. Use when exploring data, creating visualizations, or performing statistical analysis. Handles CSV, JSON, SQL queries, and Python pandas operations.
Why this skill is useful
Provides specific Python pandas operations and SQL queries for data analysis that the AI wouldn't reliably generate on its own.
What it needs
Requires matplotlib, pandas, python, seaborn installed locally. About 2k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Data Analysis When to use this skill Data exploration: Understand a new dataset Report generation: Derive data-driven insights Quality validation: Check data consistency Decision support: Make data-driven recommendations Instructions Step 1: Load and explore data Python (Pandas): SQL: Step 2: Data cleaning Step 3: Statistical analysis Step 4: Visualization Step 5: Derive insights Output format Analysis report structure Best practices 1. Understand the data first: Learn structure and meaning before analysis 2. Incremental analysis: Move from simple to complex analyses 3. Use visualization: Use a variety of charts to spot patterns 4. Validate assumptions: Always verify assumptions about the data 5. Reproducibility: Document analysis code and results Constraints Required rules (MUST) 1. Preserve raw data (work on a copy) 2. Document the analysis process 3. Validate results Prohibited (MUST NOT) 1. Do not expose sensitive personal data 2. Do not draw unsupported conclusions References Pandas Documentation Matplotlib Gallery Seaborn Tutorial Examples Example 1: Basic usage <!-- Add example content here --> Example 2: Advanced usage <!-- Add advanced example content here -->
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/data-analysis--1fc392