data-analysis-skill

What This Skill Does

DataMaster Pro (data-analysis-skill) is a comprehensive toolkit for the OpenClaw AI ecosystem, designed to automate the entire data lifecycle. It transforms manual, error-prone spreadsheet tasks into a streamlined, automated workflow. The skill empowers users to fetch data from diverse sources including websites, APIs, and databases. Once acquired, it employs intelligent cleansing algorithms to remove duplicates, handle missing values, and normalize formats. Finally, it uses built-in visualization tools and AI-driven report generation to turn raw numbers into actionable business insights. Whether you are an analyst or an operations manager, this skill removes the burden of repetitive data processing.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/gdp6539/datamaster-pro Once installed, ensure you have the necessary dependencies by navigating to the directory and running npm install. You can verify the installation by checking the config.json file for your specific credentials and data source settings.

Use Cases

• Market Research: Automatically scrape competitor pricing data from websites and generate weekly trend charts.
• Operations Reporting: Aggregate API-driven sales data, clean it for consistency, and generate a standardized PDF business report without manual intervention.
• Data Auditing: Periodically connect to internal databases to detect outliers or format errors, producing automated technical reports for the engineering team.

Example Prompts

1. "DataMaster, go to the sales dashboard URL provided in my config, clean the data to remove duplicates, and generate a bar chart showing the daily revenue for last week."
2. "Use the data-report skill to create a professional business summary from the sales_q3.csv file using the business template."
3. "Fetch the latest inventory data from the supplier API, normalize the price and quantity columns, and save the result as a new CSV file."

Tips & Limitations

• Tips: Use the schedule parameter in your config.json to leverage the built-in cron support for truly hands-off automation. Always preview your data after the cleaning step to ensure your custom rules are applied correctly.
• Limitations: Data scraping from websites with dynamic JavaScript rendering may require advanced configuration. Ensure that your API keys for external services are kept secure in the config.json and are not shared via logs.