Getting Started
MAGIC Data Agent Skills
12 data science skills that turn any AI coding assistant into a data agent.
MAGIC Data Agent Skills transforms any AI coding assistant into a data agent — an assistant specialized in data engineering, data processing, and data science. It's a collection of 12 production-grade skill packages that teach your AI assistant how to think about and execute data tasks, from loading and profiling to analysis and reporting.
What Can You Do?
- Load data from CSV, Parquet, JSON, Excel, databases, and HuggingFace Hub
- Profile datasets with quality scoring, distribution analysis, and outlier detection
- Clean messy data with missing value imputation, normalization, and deduplication
- Validate schemas with constraint checking and statistical pitfall detection
- Explore patterns with segment analysis and relationship discovery
- Transform data with reshape, pivot, merge, and derived columns
- Synthesize data with LLM-powered generation via DataDesigner
- Run statistical analysis with hypothesis testing and correlation analysis
- Create visualizations with charts (static and interactive)
- Generate reports with structured Markdown templates
- Orchestrate pipelines with the data lifecycle skill
Supported Tools
Works with 30+ AI coding assistants including Claude Code, Cursor, Windsurf, GitHub Copilot, Gemini CLI, Cline, RooCode, and many more.
Next Steps
How It Works
Learn about the 3-layer skill architecture
Installation
Get set up in under 2 minutes
Quick Start
Load and profile your first dataset
Supported Tools
All 30 supported AI coding tools
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