report-generator

What This Skill Does

The report-generator is a powerful OpenClaw AI agent skill designed to streamline the creation of professional data reports. It bridges the gap between raw data sets and actionable insights by automating the generation of charts, data tables, and structured summaries. Whether you are dealing with CSV files, JSON objects, or Excel spreadsheets, this skill processes the information to produce cohesive documents. It handles complex tasks such as calculating Key Performance Indicators (KPIs), generating trend lines, and formatting visual layouts using Python-based data processing libraries like Pandas and Matplotlib.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/lijie420461340/report-generator

Use Cases

This skill is ideal for professionals who need to maintain regular reporting cadences without manual effort. Common use cases include:

• Financial analysts creating monthly revenue dashboards.
• Marketing teams tracking campaign performance through automated visual reports.
• Operations managers summarizing workflow KPIs for executive stakeholders.
• Developers or data scientists requiring quick summaries of JSON/CSV data for debugging or presentation.

Example Prompts

1. "Generate a sales report from this uploaded sales_data.csv file and highlight the top-performing products."
2. "Create a monthly KPI dashboard for Q1 that compares current revenue against targets and visualizes the growth trend."
3. "Build an executive summary report based on the provided JSON data, including a table of key metrics and a recommendation section."

Tips & Limitations

• Data Quality: The quality of your report is directly dependent on the quality of your input data. Ensure your CSV or JSON files are clean and correctly formatted before invoking the skill.
• Performance: For extremely large datasets, consider filtering or aggregating the data before passing it to the tool to ensure optimal performance and avoid memory timeouts.
• Customization: While the skill provides high-quality default templates, users with coding knowledge can further extend the logic by modifying the underlying Python functions provided in the skill documentation.
• Visualization: The skill currently supports standard plots. Ensure your data has a clear temporal or categorical dimension to maximize the impact of the generated charts.