数据与研究

data-analyst

ailabs-393/ai-l…e-skills

This skill should be used when analyzing CSV datasets, handling missing values through intelligent imputation, and creating interactive dashboards to visualize data trends. Use this skill for tasks involving data quality assessment, automated missing value detection and filling, statistical analysis, and generating Plotly Dash dashboards for exploratory data analysis.

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安装命令

npx skills add https://github.com/ailabs-393/ai-labs-claude-skills --skill data-analyst

SKILL.md

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.

Core Capabilities

The data-analyst skill provides three main capabilities that can be used independently or as a complete workflow:

1. Missing Value Analysis

Automatically detect and analyze missing values in datasets, identifying patterns and suggesting optimal imputation strategies.

2. Intelligent Imputation

Apply sophisticated imputation methods tailored to each column's data type and distribution characteristics.

3. Interactive Dashboard Creation

Generate comprehensive Plotly Dash dashboards with multiple visualization types for trend analysis and exploration.