Back to Details

csv-summarizer

Compare original and translation side by side

🇺🇸

Original

English
🇨🇳

Translation

Chinese

CSV Data Summarizer

CSV Data Summarizer

来源: ComposioHQ/awesome-claude-skills 适配: LiYe OS 三层架构
自动分析 CSV 文件并生成综合洞察报告，无需用户手动提示即可识别数据模式并创建可视化。
Source: ComposioHQ/awesome-claude-skills Adapted for: LiYe OS Three-tier Architecture
Automatically analyzes CSV files and generates comprehensive insight reports, identifying data patterns and creating visualizations without manual prompts from users.

When to Use This Skill

When to Use This Skill

当 Claude 需要分析 CSV 数据时：
  • 自动生成数据摘要和统计
  • 识别数据中的模式和趋势
  • 检测异常值
  • 创建数据可视化
  • 生成分析报告
When Claude needs to analyze CSV data:
  • Automatically generates data summaries and statistics
  • Identifies patterns and trends in data
  • Detects outliers
  • Creates data visualizations
  • Generates analysis reports

Core Capabilities

Core Capabilities

1. 自动数据摘要

1. Automatic Data Summary

  • 数据类型识别
  • 缺失值检测
  • 数据质量评估
  • 基础统计量计算
  • Data type identification
  • Missing value detection
  • Data quality assessment
  • Basic statistic calculation

2. 统计分析

2. Statistical Analysis

  • 均值、中位数、标准差
  • 分位数分布
  • 相关性分析
  • 分组统计
  • Mean, median, standard deviation
  • Quantile distribution
  • Correlation analysis
  • Grouped statistics

3. 异常值检测

3. Outlier Detection

  • 基于统计方法的异常识别
  • 离群点标记
  • 数据质量警告
  • Anomaly identification based on statistical methods
  • Outlier marking
  • Data quality warnings

4. 趋势识别

4. Trend Identification

  • 时间序列分析
  • 增长/下降趋势
  • 周期性模式识别
  • 预测建议
  • Time series analysis
  • Growth/decline trends
  • Cyclical pattern identification
  • Prediction recommendations

5. 自动可视化

5. Automatic Visualization

  • 分布直方图
  • 趋势折线图
  • 相关性热力图
  • 分类对比图
  • Distribution histograms
  • Trend line charts
  • Correlation heatmaps
  • Category comparison charts

Usage Examples

Usage Examples

示例 1: 销售数据分析

Example 1: Sales Data Analysis

用户: 分析这个销售数据 CSV
Claude: [使用 csv-summarizer 自动生成销售趋势、Top 产品、异常订单等洞察]
User: Analyze this sales data CSV
Claude: [Uses csv-summarizer to automatically generate insights such as sales trends, top products, abnormal orders, etc.]

示例 2: 关键词性能分析

Example 2: Keyword Performance Analysis

用户: 帮我分析这份关键词报表的性能
Claude: [使用 csv-summarizer 计算各关键词的 CTR、转化率，标记异常值]
User: Help me analyze the performance of this keyword report
Claude: [Uses csv-summarizer to calculate CTR and conversion rates for each keyword, and mark outliers]

示例 3: 用户行为分析

Example 3: User Behavior Analysis

用户: 从这个用户数据中找出有价值的洞察
Claude: [使用 csv-summarizer 生成用户分群、行为模式、留存分析]
User: Find valuable insights from this user data
Claude: [Uses csv-summarizer to generate user segmentation, behavior patterns, and retention analysis]

Dependencies

Dependencies

  • Python: pandas, matplotlib, seaborn, scipy
  • 或 Node.js: csv-parse, chart.js
  • Python: pandas, matplotlib, seaborn, scipy
  • Or Node.js: csv-parse, chart.js

LiYe OS Integration

LiYe OS Integration

业务域引用

Business Domain References

此技能被以下业务域引用：
  • 07_Data_Science: 通用数据分析（主域）
  • 02_Operation_Intelligence: Amazon 运营报表分析
This skill is referenced by the following business domains:
  • 07_Data_Science: General Data Analysis (Primary Domain)
  • 02_Operation_Intelligence: Amazon Operation Report Analysis

三层架构位置

Three-tier Architecture Position

  • 物理层 (本文件): Skills/00_Core_Utilities/data-analysis/csv-summarizer/
  • 逻辑层索引: Skills/{domain}/index.yaml
  • L3 指令层: .claude/skills/{domain}/csv-summarizer/
Created: 2025-12-28 | Adapted for LiYe OS
  • Physical Layer (This file): Skills/00_Core_Utilities/data-analysis/csv-summarizer/
  • Logical Layer Index: Skills/{domain}/index.yaml
  • L3 Instruction Layer: .claude/skills/{domain}/csv-summarizer/
Created: 2025-12-28 | Adapted for LiYe OS