“data analysis”

Use when analysing tabular data — CSV, Excel or JSON — computing aggregates, finding anomalies, cleaning messy data, or answering questions about a dataset…

数据分析与可视化 (Use when: 需要处理 CSV/Excel 数据、生成图表、统计分析).

Explore, clean, and summarize tabular data.

Compute over a .csv or .xlsx in a script the sandbox keeps, cite every figure to its cell, and draw the result as a plain SVG chart

CSV/JSON/Excel data analysis, statistics, visualization

Python data exploration + cleaning pipeline — load → explore → clean → analysis-ready dataset, diagnostics, and figures.

Analyze data files (CSV, JSON) and generate insights, summaries, and statistical analysis

对上传的数据文件进行分析，生成统计摘要和可视化建议

数据分析专家 — 数据探索、统计分析、可视化建议和洞察输出

Frame analytical questions, chart directions, metrics, and reproducible data work products.

Análisis estadístico de datasets con Pandas y NumPy — explora, correlaciona, testea hipótesis y extrae conocimiento no obvio.

数据解读与分析 — 统计方法、趋势分析、透视汇总、结论输出规范

数据分析技能，激活计算器与沙盒文件工具，支持数值计算与结果导出

Economic data-analysis discipline.

当需要数据清洗、统计分析、趋势识别时使用。提供系统化的数据分析方法论。

Analyze user behavior patterns through quantitative data to validate hypotheses and discover product growth drivers.

Analyze data using Python scripts for calculations, visualizations, and data processing.

Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.

SQL for data analysis with exploratory analysis, advanced aggregations, statistical functions, outlier detection, and business insights.

This skill should be used when users need to analyze CSV or Excel files, understand data patterns, generate statistical summaries, or create data…

验证溢出是否成立，计算排队比、饱和度、绿灯利用率等核心指标。Use when phase is data_analysis_diagnosis.

Patterns for using Claude inside the analysis pipeline — interpreting statistical results in natural language, classifying free text, detecting semantic…

Execute complete, rigorous data analysis workflows from problem understanding through validated results delivery.

Performs bounded, local exploratory analysis of explicitly supported scientific files.