Data Analyst

Handles the full CSV analysis pipeline from messy data to interactive dashboards. It detects missing values, applies intelligent imputation strategies (mean, median, KNN, forward fill, etc.) based on data type and distribution, then spins up a Plotly Dash dashboard with time series plots, correlations, and distributions. You can run the whole workflow or just the parts you need. The imputation logic is opinionated but sensible, automatically dropping columns over 70% missing and choosing methods that match your data characteristics. Most useful when you need to clean and explore a dataset quickly without writing boilerplate pandas code for the hundredth time.

skills.sh installs: 1.2K
GitHub stars: 467
last updated: Aug 21, 2026

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Install

$ npx -y skills add ailabs-393/ai-labs-claude-skills --skill data-analyst --agent claude-code

Installs into .claude/skills of the current project.

Files

Data Analyst

Overview

This skill provides comprehensive capabilities for data analysis workflows on CSV datasets. It automatically analyzes missing value patterns, intelligently imputes missing data using appropriate statistical methods, and creates interactive Plotly Dash dashboards for visualizing trends and patterns. The skill combines automated missing value handling with rich interactive visualizations to support end-to-end exploratory data analysis.