Data Analyst

The data-analyst skill empowers AI agents to process, clean, and visualize datasets directly within the chat interface. It transforms raw numbers into actionable insights by generating charts, calculating statistics, and identifying trends without requiring external tools.

When to use it

• Quickly summarize large CSV files or JSON logs uploaded to the conversation.
• Generate visualizations like bar charts or line graphs to explain data trends.
• Perform statistical calculations such as averages, medians, and standard deviations on the fly.
• Clean messy datasets by handling missing values or formatting inconsistencies before analysis.

Key capabilities

• Data Visualization: Automatically renders charts and graphs based on input data.
• Statistical Analysis: Computes key metrics including mean, median, mode, and variance.
• Data Cleaning: Identifies and fixes common data quality issues like duplicates or null entries.
• Pattern Recognition: Detects outliers and correlations within numerical datasets.

Example prompts

• "Upload this sales CSV and create a line chart showing monthly revenue trends over the last year."
• "Calculate the average response time for each server from this JSON log file and highlight any anomalies."
• "Clean this messy list of customer emails by removing invalid formats and duplicates, then count the total valid entries."

Tips & gotchas

Ensure your data is in a supported format like CSV, JSON, or Excel before uploading for best results. Complex datasets with millions of rows may require splitting into smaller chunks for accurate processing.