Notebook Creator

About

Streamlines the creation of high-quality analytical workbooks for fantasy football projects by providing a structured workflow from data connection to final insights. It guides users through establishing DuckDB connections, querying specialized dbt marts for player and market data, and applying consistent visualization standards using Seaborn. Whether evaluating roster health, analyzing trade scenarios, or checking data freshness, this skill ensures all notebooks follow project conventions and include critical documentation like freshness banners and summary findings.

Key Features

• Automates data freshness checks using ops metadata to ensure analytical accuracy
• Provides standardized templates for analysis types like roster health, market trends, and trade evaluation
• Supplies pre-configured SQL query patterns for fantasy actuals, projections, and market valuations
• Enforces visualization standards using Seaborn and Matplotlib for consistent reporting
• Implements secure DuckDB connection patterns for both local dbt environments and cloud-based Google Colab
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Use Cases

• Evaluating dynasty roster depth and age curves to inform long-term team strategy
• Comparing model projections against actual performance to validate and tune analytical accuracy
• Analyzing Keep Trade Cut (KTC) market trends to identify buy-low or sell-high trade opportunities