Data Analysis skills for Claude Code and Codex
Skills for analyzing data: pandas, Polars, Dask, Vaex and cuDF DataFrames, Spark jobs, BigQuery DataFrames, exploratory analysis, read-only SQL against Postgres, MySQL and SQL Server, semantic-layer queries in Honeydew, Google Analytics reporting, Kaggle and a data scientist workflow from business question to report. They turn a question into a query, a table and a stated answer.
Highest-scoring data analysis skills in the October 22, 2026 snapshot: kaggle from shepsci/kaggle-skill (90/100), data-scientist from tronghieu/agent-skills (86/100) and google-cloud-solution-agentic-analytics-spark-knowledge-catalog from google/skills (85/100). Scores come from the Suede Skill Check.
- 27 listed skills
- 11 repositories
- 11 with full pages
8 from official publishers. 7 bundle scripts. 5 connect to an outside service. Listed in Data, Analytics and Databases (26), Science and Research (1).
All 27 data analysis skills
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| Skill | Repository | What it does |
|---|---|---|
| dashboard-creator 75/100 · C | mhattingpete/claude-skills-marketplace | Creates HTML dashboards with KPI metric cards, bar, pie, and line charts, progress indicators, and other data visualizations. |
| data-scientist 86/100 · B | tronghieu/agent-skills | Turns business questions into data analysis, validated models, and decision-ready reports, including dataset profiling, A/B test checks, and predictive modeling. |
| filtering 77/100 · C | honeydew-ai/honeydew-ai-coding-agents-plugins | Guides filtering data in structured queries, metric aggregations, and attribute expressions, covering filter syntax, date handling, and best practices. |
| google-cloud-solution-agentic-analytics-spark-knowledge-catalog 85/100 · B | google/skills | Discovers requirements and designs a governed agentic analytics solution using Knowledge Catalog and Managed Service for Apache Spark, with metadata governance. |
| kaggle 90/100 · A | shepsci/kaggle-skill | Handles Kaggle tasks when explicitly requested, covering competitions, datasets, models, notebooks, forums, benchmarks, hackathons, badges, and account setup. |
| model-exploration 80/100 · B | honeydew-ai/honeydew-ai-coding-agents-plugins | Explores the Honeydew semantic layer by discovering entities and fields, setting workspace and branch context, and running structured queries to spot-check field values. |
| mssql 83/100 · B | sanjay3290/ai-skills | Executes read-only SQL queries against multiple Microsoft SQL Server databases, supporting schema exploration, SELECT queries for data analysis, and checking database contents. |
| mysql 83/100 · B | sanjay3290/ai-skills | Executes read-only SQL queries against multiple MySQL databases, supporting schema exploration, SELECT queries for data analysis, and checking database contents. |
| pandas-pro 84/100 · B | jeffallan/claude-skills | Performs pandas DataFrame operations for data analysis, such as cleaning, joins, pivots, groupby aggregation, time series resampling, and handling missing values. |
| postgres 80/100 · B | sanjay3290/ai-skills | Executes read-only SQL queries against multiple PostgreSQL databases, supporting schema exploration, SELECT queries for data analysis, and checking database contents. |
| query 71/100 · C | honeydew-ai/honeydew-ai-coding-agents-plugins | Queries and analyzes data through the Honeydew semantic layer, including natural language analysis questions, deep multi-step investigations, and structured queries. |
| accelerated-computing-cudf 73/100 · C | NVIDIA/skills | Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable… |
| bigquery-ai-ml 79/100 · C | google/skills | Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that… |
| bigquery-bigframes 87/100 · B | google/skills | Generates Python code using BigQuery DataFrames (BigFrames). Use by default for any Python data task involving BigQuery, including data processing… |
| dask 87/100 · B | K-Dense-AI/claude-scientific-skills | Scales pandas, NumPy, and custom Python research workflows beyond memory or across clusters with Dask. Covers DataFrames, Arrays, Bags, Futures… |
| exploratory-data-analysis 81/100 · B | K-Dense-AI/claude-scientific-skills | Performs bounded, local exploratory analysis of explicitly supported scientific files. Supports redacted CSV/TSV/JSON profiles; optional NumPy… |
| geopandas 79/100 · C | K-Dense-AI/claude-scientific-skills | Guidance and local audit tools for Python workflows that directly use GeoPandas GeoSeries, GeoDataFrame, spatial operations, or vector-data I/O. |
| google-analytics 73/100 · C | nowork-studio/NotFair | Analyze connected Google Analytics 4 traffic, acquisition, engagement, landing pages, ecommerce, events, and conversions, and safely manage… |
| google-analytics-admin-api-basics 83/100 · B | google/skills | Manages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and… |
| google-analytics-data-api-basics 87/100 · B | google/skills | Manages Google Analytics reporting data, enables the Analytics Data API via the Cloud CLI, and creates reports using the Google Analytics Data API… |
| google-cloud-solution-agentic-ai-data-science-workflow 87/100 · B | google/skills | Designs a tailored multi-product agentic data science architecture on Google Cloud that incorporates opinionated best practices. Use when… |
| metric-creation 69/100 · D | honeydew-ai/honeydew-ai-coding-agents-plugins | Guides you step-by-step through defining a business metric (aggregation) on a Honeydew entity. Covers SQL expression building and pushes to Honeydew… |
| nvflare-fed-stats 85/100 · B | NVIDIA/skills | Compute federated statistics over tabular data (count, sum, mean, stddev, var, histogram, quantile, noise-protected min/max) and image data (count… |
| polars 79/100 · C | K-Dense-AI/claude-scientific-skills | High-performance DataFrame library for Python ETL, analytics, and pandas migration. It supports expression-based data manipulation with lazy query… |
| spark-engineer 84/100 · B | jeffallan/claude-skills | Use when writing Spark jobs, debugging performance issues, or configuring cluster settings for Apache Spark applications, distributed data… |
| Suede AI Analytics Skills 91/100 · A | JasonColapietro/suede-creator-skills | Suede AI Analytics Skills. Use when asked to "fix our analytics events" or set up GA4/GTM, key events, consent, UTMs and search/AI channels with… |
| vaex 87/100 · B | K-Dense-AI/claude-scientific-skills | Processes large tabular scientific datasets with Vaex expressions, filtered views, streamed statistics, binned visualizations, and file conversion… |
How to choose data analysis skills
Choose by data size and where it lives. pandas-pro and Polars suit a single machine, Dask, Spark and cuDF scale out or onto GPUs, and the BigQuery and Honeydew skills query data in place.
Skills that connect to live data read connection strings or API keys, listed under Before you install. The sanjay3290 SQL skills run read-only queries, which is the right default for analysis.
Ask for the method with the answer. data-scientist and exploratory-data-analysis report assumptions and checks alongside results, so a reviewer can follow the numbers.
Ranked data analysis shortlists
Related topics
Data Engineering and Pipelines 31Data Warehouses 29Google Cloud 146Marketing Analytics 19Machine Learning 29SQL and Databases 116Data Visualization and Charts 15Notebooks 3
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