data-analyst-agent
🥈SilverThe data-analyst-agent is an automated data analysis tool leveraging large models to streamline the analysis of Excel/CSV data. It generates visual recap reports and features five distinct agent operation modes for comparative learning and exploration.
1010Updated 1mo ago
Intermediate15 minutes to implementanalytics
Saves ~120 min per use
Quick InstallView Source
claude install chenningling/data-analyst-agentWorks with:
ChatGPT
Overview
About This Skill
The data-analyst-agent is an automated data analysis tool leveraging large models to streamline the analysis of Excel/CSV data. It generates visual recap reports and features five distinct agent operation modes for comparative learning and exploration.
Use Cases
Automating data analysis tasks
Generating visual reports from datasets
Comparing different analysis methodologies
Streamlining data-driven decision making
Best For
RevOpsGrowth
Tags
Setup & Installation
Quick Install
Terminal
claude install chenningling/data-analyst-agentAlternative Install (Git Clone)
git clone https://github.com/chenningling/data-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
Analyze the following [DATA] file for [COMPANY] in the [INDUSTRY] sector. Generate a visual recap report and use the comparative learning mode to identify trends. Focus on [SPECIFIC_METRIC] over the last [TIME_PERIOD].
Example Output
# Data Analysis Report for GreenTech Solutions ## Key Findings - **Revenue Growth**: Steady increase of 12% YoY in Q3 2023, driven by new product launches. - **Customer Acquisition**: 15% increase in new customers, with a notable spike in the last month. - **Operational Efficiency**: Average order fulfillment time reduced by 20% compared to Q2. ## Comparative Analysis - **Market Share**: GreenTech's market share increased by 3 percentage points compared to competitors. - **Customer Satisfaction**: NPS score improved from 45 to 55, indicating higher customer satisfaction. ## Recommendations - **Marketing**: Allocate more resources to digital marketing channels that showed the highest ROI. - **Operations**: Maintain focus on streamlining supply chain processes to reduce fulfillment times further. - **Product Development**: Invest in R&D for the top-performing product lines to sustain growth.
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