data-analysis
Data processing, visualization, exploratory data analysis, and dashboard patterns using Polars, Pandas, and Plotly.
Best use case
data-analysis is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Data processing, visualization, exploratory data analysis, and dashboard patterns using Polars, Pandas, and Plotly.
Teams using data-analysis 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-analysis/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How data-analysis Compares
| Feature / Agent | data-analysis | 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?
Data processing, visualization, exploratory data analysis, and dashboard patterns using Polars, Pandas, and Plotly.
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 Analysis ## Overview This library contains 8 production-ready skills for data analysis, visualization, and exploratory data analysis (EDA). Each skill covers a specific aspect of the data analysis workflow with patterns for performance, interactivity, and presentation. Skills follow the Anthropic Skills format with practical examples from real-world data projects. ## Quick Start ```bash # Browse available skills ls skills/data-analysis/ # Read a skill cat skills/data-analysis/polars/SKILL.md # Skills are documentation - implement patterns in your data workflows ``` ## Version History - **1.0.0** (2026-01-17): Initial release with 7 data analysis skills --- *These skills represent patterns refined across data platforms processing millions of records and serving dashboards to thousands of users.* ## Sub-Skills - [1. Lazy Evaluation First (+3)](1-lazy-evaluation-first/SKILL.md) ## Sub-Skills - [Available Skills](available-skills/SKILL.md) - [Data Processing (+4)](data-processing/SKILL.md) - [Choose polars when: (+6)](choose-polars-when/SKILL.md) - [Polars High-Performance Processing (+5)](polars-high-performance-processing/SKILL.md) - [Data Pipeline Architecture (+2)](data-pipeline-architecture/SKILL.md) - [Caching for Performance (+2)](caching-for-performance/SKILL.md) - [Integration with Workspace-Hub](integration-with-workspace-hub/SKILL.md) - [Testing Data Analysis Code](testing-data-analysis-code/SKILL.md) - [Related Resources](related-resources/SKILL.md)
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