ai-analyst-agent
🥇GoldThe ai-analyst-agent helps users to interact with business data effortlessly using natural language. Generate SQL queries and visualizations without any prior SQL knowledge, while receiving AI-driven insights and recommendations to enhance decision-making.
1240Updated 1mo ago
Beginner15 minutes to implementanalytics
Saves ~105 min per use
Quick InstallView Source
claude install sorin177/ai-analyst-agentWorks with:
ChatGPT
Overview
About This Skill
The ai-analyst-agent helps users to interact with business data effortlessly using natural language. Generate SQL queries and visualizations without any prior SQL knowledge, while receiving AI-driven insights and recommendations to enhance decision-making.
Use Cases
Generate SQL queries from plain English questions
Create visualizations for business data
Receive actionable insights based on data analysis
Automate data reporting processes
Best For
RevOpsGrowth
Tags
Setup & Installation
Quick Install
Terminal
claude install sorin177/ai-analyst-agentAlternative Install (Git Clone)
git clone https://github.com/sorin177/ai-analyst-agentRequirements
- Claude Code or compatible AI agent
- Works with: ChatGPT
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Act as an AI analyst for [COMPANY], a [INDUSTRY] business. I need to analyze [DATA] from [TIME PERIOD]. Generate a SQL query to extract relevant insights, then create a visualization and provide actionable recommendations based on the results.
Example Output
# Analysis of Customer Purchase Data for GreenEarth Organics (Q1 2023) ## Key Findings - **Top Selling Products**: Organic Kale (22% of total sales), Heirloom Tomatoes (18%), and Quinoa (15%) - **Customer Segmentation**: 65% of sales come from repeat customers (purchased 3+ times in Q1) - **Sales Trends**: 23% increase in online sales compared to Q4 2022 ## Visualizations 1. **Product Sales Breakdown** (Pie Chart) - Organic Kale: 22% - Heirloom Tomatoes: 18% - Quinoa: 15% - Other Products: 45% 2. **Monthly Sales Trend** (Line Graph) - January: $125,000 - February: $142,000 - March: $168,000 ## Recommendations - **Inventory Optimization**: Increase stock of top-selling products (Kale, Tomatoes, Quinoa) by 15-20% for Q2 - **Customer Retention**: Implement a loyalty program for repeat customers to encourage higher purchase frequency - **Online Sales Growth**: Allocate additional marketing budget to digital channels based on Q1 performance - **Product Expansion**: Consider introducing complementary products to top sellers (e.g., kale chips, tomato sauce)
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