Agent skill · data analytics · ailabs-393
business-analytics-reporter
This skill should be used when analyzing business sales and revenue data from CSV files to identify weak areas, generate statistical insights, and provide strategic improvement recommendations. Use when the user requests a business performance report, asks to analyze sales data, wants to identify areas of weakness, or needs recommendations on business improvement strategies.
Why this skill is useful
Provides a bundled analysis script that generates statistical insights and improvement strategies from business data, which the AI wouldn't reliably generate on its own.
What it needs
Requires pandas installed locally. About 6k tokens when loaded. Last updated 2025-11-11. 438 stars on the source repository.
What this skill does
Business Analytics Reporter Overview Generate comprehensive business performance reports that analyze sales and revenue data, identify areas where the business is lacking, interpret what the statistics indicate, and provide actionable improvement strategies. The skill uses data-driven analysis to detect weak areas and recommends specific strategies backed by business frameworks. When to Use This Skill Invoke this skill when users request: "Analyze my business data and tell me where we're lacking" "Generate a report on what areas need improvement" "What do these sales numbers tell us about our business performance?" "Create a business analysis report with improvement strategies" "Identify weak areas in our revenue data" "What strategies should we use to improve our business metrics?" The skill expects CSV files containing business data (sales, revenue, transactions) with columns like dates, amounts, categories, or products. Core Workflow Step 1: Data Loading and Exploration Start by understanding the data structure and what the user wants to analyze. Ask clarifying questions if needed: What specific metrics or areas should the analysis focus on? Are there particular time periods or categories of interest? Should the report include visualizations or focus on written analysis? Load and explore the data: Step 2: Run Automated Analysis Use the bundled analysis script to generate comprehensive insights: The script will: 1. Automatically detect data structure (revenue columns, date columns, categories) 2. Calculate statistical metrics (mean, median, growth rates, volatility) 3. Identify trends and patterns 4. Detect weak areas and underperforming segments 5. Generate improvement strategies based on findings 6. Output a structured JSON report Output structure: Step 3: Interpret the Analysis Results Read the generated JSON report and interpret the findings for the user in plain language. Focus on: 1. Current State: What the data shows about business performance 2. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills ailabs-393/business-analytics-reporter