What problem does it solve? Business teams often have raw sales and revenue CSV files but lack the statistical analysis needed to spot declining trends, volatile revenue, and underperforming categories. This Skill turns raw CSV data into a structured report with identified weak areas and actionable improvement strategies. ## Core Features & Use Cases - Automated Statistical Analysis: Runs a Python script that detects revenue, date, and category columns, then computes growth rates, coefficient of variation, and category performance. - Weak Area Detection: Flags negative growth, high volatility (CV > 50%), frequent declining periods, and bottom-quartile categories with severity levels. - Strategy Recommendations: Maps each weak area to business frameworks (market penetration, pricing, retention) and outputs prioritized action plans with timelines and impact estimates. - Report Generation: Produces a JSON analysis, optional Plotly visualizations, and a styled HTML report from a bundled template. - Use Case: A founder uploads quarterly sales data and asks where the business is underperforming; the Skill returns a report showing a -3.5% growth trend, three weak categories, and a revenue acceleration plan. ## Quick Start Analyze my sales data CSV file and generate a business performance report identifying weak areas and improvement strategies.
