Agent Skills › Zafer-Liu/Data-Analysis-Agent › regression

regression

GitHub

执行线性回归分析，识别连续目标与解释变量，检查数据质量及假设，报告拟合指标、系数影响及不确定性，并生成可视化图表。

skills/regression/SKILL.md Zafer-Liu/Data-Analysis-Agent

Trigger Scenarios

需要进行线性回归分析解释连续变量间的关系

Install

npx skills add Zafer-Liu/Data-Analysis-Agent --skill regression -g -y

More Options

Use without installing

npx skills use Zafer-Liu/Data-Analysis-Agent@regression

指定 Agent (Claude Code)

npx skills add Zafer-Liu/Data-Analysis-Agent --skill regression -a claude-code -g -y

安装 repo 全部 skill

npx skills add Zafer-Liu/Data-Analysis-Agent --all -g -y

预览 repo 内 skill

npx skills add Zafer-Liu/Data-Analysis-Agent --list

SKILL.md

Frontmatter

{
    "icon": "📐",
    "name": "regression",
    "description": "执行线性回归并解释关键变量影响（linear regression 回归分析）",
    "allowedTools": [
        "get_schema",
        "query_data",
        "run_analysis",
        "generate_chart"
    ]
}

线性回归

确认连续目标、解释变量和分析口径，检查缺失、异常、共线性与残差假设。报告拟合与验证指标、系数方向和不确定性；明确相关关系不等于因果关系。

Tool routing

Use get_schema to identify the continuous target, candidate predictors, and source table.
Use query_data to verify field names, missingness, outliers, and whether the target is numeric.
Use run_analysis with analysis_name="Regression" for the actual regression computation.
Use generate_chart on coefficient, residual, or prediction result tables after run_analysis succeeds.