vamseeachanta 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
# 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)
Sub-Skills
- Available Skills
- Data Processing (+4)
- Choose polars when: (+6)
- Polars High-Performance Processing (+5)
- Data Pipeline Architecture (+2)
- Caching for Performance (+2)
- Integration with Workspace-Hub
- Testing Data Analysis Code
- Related Resources