AI agent skills for data analysis
Analysis skills are worth having for the steps people skip: checking what is missing, saying whether the sample supports the claim, and refusing to report a difference as meaningful when it is not. The weak ones jump to a chart. Look for skills that make the agent describe the dataset before analysing it — most wrong analyses are wrong about the data, not the maths.
People land here searching for “claude code data analysis skill”, “agent skill pandas”, “statistical analysis skill”.
40 data analysis skills Refine in search →
-
tools-only Bundle Data AnalystSQL, pandas, and statistical analysis expertise for data exploration and insights. Use when: analyzing data, writing SQL queries, using pandas, performing statistical analysis, or when user mentions data analysis, SQL, pandas, statistics, or needs help exploring datasets.
7 -
the-hugin Skill Data AnalystSQL, pandas, and statistical analysis expertise for data exploration and insights. Use when: analyzing data, writing SQL queries, using pandas, performing statistical analysis, or when user mentions data analysis, SQL, pandas, statistics, or needs help exploring datasets.
Audited -
carlheath Bundle Data AnalysisData Analysis Specialist - Analyzing datasets, visualizations, extracting insights. [VAD] EDA, statistical analysis, SQL queries, data visualization. Python-based analysis with pandas, numpy, matplotlib, seaborn, plotly. [NÄR] Use when: data analysis, statistics, visualization, SQL, metrics, analytics, trend, dataset, EDA, pandas, matplotlib, dashboard, query [EXPERTISE] Statistical analysis, Python data science, SQL, hypothesis testing
-
leandrobenjaminl Bundle Data AnalysisAnaliza datasets con Pandas y NumPy: explora distribuciones, correlaciones y patrones, y aplica tests de hipótesis para extraer conocimiento no obvio.
Audited 0 -
vamseeachanta Skill Pandas Data Processing 2 Statistical AnalysisSub-skill of pandas-data-processing: 2. Statistical Analysis.
Audited -
vamseeachanta Skill Pandas Data Processing 2 Statistical Analysis 2Sub-skill of pandas-data-processing: 2. Statistical Analysis.
-
yunseo-kim Bundle Data AnalystSQL, pandas, and statistical analysis expertise for data exploration, cleaning, transformation, and insight generation
-
seb1n Skill Data AnalysisAnalyze datasets to answer defined questions through statistical methods, trend identification, hypothesis testing, and correlation analysis. Use when the user needs evidence-backed findings or decisions from data; use exploratory-data-analysis instead for open-ended first-pass profiling before questions are defined.
Audited 159 -
tools-only Bundle Data Analyzer数据分析工具,使用 pandas 进行数据统计分析。当用户需要对数据进行统计分析、计算均值、求和、描述性统计时使用。
7 -
majiayu000 Bundle Data Analyst 6데이터 분석 전문가. pandas, numpy, 시각화, 통계 분석 지원.
567 -
microclaw Skill Data AnalysisAnalyze a dataset end-to-end: load, clean, compute statistics, find patterns/correlations, and optionally plot — using pandas when available (stdlib fallback otherwise). Use when users hand over data (CSV/Excel/JSON) and want insights, trends, summaries, correlations, or charts, beyond a single quick query. Triggers on mentions of analyze data, analysis, statistics, correlation, trend, distribution, plot/chart the data, insights, 数据分析, 统计, 相关性, 趋势, 分布, 画图.
Audited -
jinfanzheng Bundle Data AnalysisData analysis and statistical computation. Use when user needs "数据分析/统计/计算指标/数据洞察". Supports general analysis, financial data (stocks, returns), business data (sales, users), and scientific research. Uses pandas/numpy/scikit-learn for processing. Automatically activates data-base for data acquisition.
-
itallstartedwithaidea Skill Data AnalysisData Analysis provides a structured framework for statistical analysis using pandas, numpy, and scipy, with visualization through matplotlib, seaborn, and plotly.
-
morning-start Skill Dashboard PandasPandas 数据处理技能,掌握数据读取、清洗、转换和聚合,为数据看板提供高质量的数据源
-
0xranx Bundle Data AnalysisLoads CSV, Excel, and JSON data files, performs statistical analysis, and generates charts and reports. Use when the user asks to analyze a dataset, compute statistics, create visualizations, find trends, or produce a data report.
-
trpc-group Bundle Data AnalysisPython-based data analysis tools using pandas and numpy for data processing and visualization.
-
tomevault-io Bundle Data Analysis 8Comprehensive data analysis skill for CSV files using Python and pandas Use when this capability is needed.
-
ssrjkk Bundle PandasManipulates and analyzes data with pandas, including DataFrames, group operations, and time series.
2 -
gabrielmoreira Skill Data AnalystData analysis expert for statistics, visualization, pandas, and exploration
17 -
majiayu000 Bundle Python AnalyticsPython data analysis with pandas, numpy, and analytics libraries
567 -
a5c-ai Bundle Pandas Dataframe AnalyzerAutomated DataFrame analysis skill for statistical summaries, missing value detection, data type inference, and memory optimization recommendations.
1.7k -
gabrielmoreira Skill Data Analysis 5数据分析技能。当用户上传 Excel(.xlsx、.xls) 或 CSV 文件并要求分析时使用,读取数据,执行基础统计分析,输出中文结论。
17 -
dvcrn Bundle Pandas Construction AnalysisComprehensive Pandas toolkit for construction data analysis. Filter, group, aggregate BIM elements, calculate quantities, merge datasets, and generate reports from structured construction data.
32 -
johnalbertini14-glitch Bundle Pandas Construction AnalysisComprehensive Pandas toolkit for construction data analysis. Filter, group, aggregate BIM elements, calculate quantities, merge datasets, and generate reports from structured construction data.
1
How to install a data analysis skill
- Compare the skills. Read the data analysis skills below — each page shows the full SKILL.md, its safety verdict, and the capabilities it declares.
- Install it. Run npx skillmds@latest add <owner>/<name>. The CLI writes the skill into every agent directory it detects, or use --agent to pin one.
- Use it. Restart your agent. It loads the skill on demand the next time you ask for something that matches — you do not have to name the skill.
What makes a good data analysis skill?
Analysis skills are worth having for the steps people skip: checking what is missing, saying whether the sample supports the claim, and refusing to report a difference as meaningful when it is not. The weak ones jump to a chart. Look for skills that make the agent describe the dataset before analysing it — most wrong analyses are wrong about the data, not the maths.
Every skill listed here is a plain SKILL.md file in the format Anthropic documents for Agent Skills, read unchanged by Cursor, OpenAI Codex and 60+ agents. Each passes a safety review before it is publicly listed; the verdict and declared capabilities are on every skill's page.
Frequently asked questions
What is an agent skill for data analysis?
Analysis skills are worth having for the steps people skip: checking what is missing, saying whether the sample supports the claim, and refusing to report a difference as meaningful when it is not. The weak ones jump to a chart. Look for skills that make the agent describe the dataset before analysing it — most wrong analyses are wrong about the data, not the maths.
Does a data analysis skill need a Python environment?
Usually, yes — most drive pandas or a similar library through your agent's code execution. Skills that are purely methodological (how to frame the question, which test applies) work without one, and say so in their description.
Which agents can use these data analysis skills?
Any agent that reads SKILL.md files: Claude Code, Claude.ai, Cursor, OpenAI Codex, Windsurf, OpenCode and 60+ others. The format is not vendor-specific, so the same file works everywhere — each agent just keeps its skills in a different directory, listed at /agents.
Are these data analysis skills free?
Yes. Searching, reading and installing skills on SkillMD is free and needs no account. Individual skills carry their own licence, shown on each skill's page.