Data agent skills

Data analysis skills for AI agents.

Compare skills for CSV analysis, spreadsheet profiling, charts, metrics, business analysis, notebooks, and structured-data workflows.

Built for users searching for agent skills that analyze CSVs, spreadsheets, datasets, charts, and metrics.

Matched

16

Stars

422K

Input

CSV

Output

Insights

Agent jobs

Start from a real workflow, not a keyword.

These pages are built for high-intent search and for agents that need a structured shortlist before installing third-party code.

01

Profile CSV files and explain suspicious columns

02

Generate charts and plain-language metric summaries

03

Validate spreadsheet outputs before sharing

04

Turn raw data into a reproducible analysis plan

Ranked shortlist

High-signal skills to inspect first.

Open best list

10 Weeks, 20 Lessons, Data Science for All!

100

Quality

100

Trust

75

Fit

data-analysisJun 10, 2026 pushMIT
$ npx skills add microsoft/Data-Science-For-Beginners
5.2K stars

Visualizer for pandas data structures

100

Quality

100

Trust

68

Fit

data-analysisMay 29, 2026 pushLGPL-2.1
$ npx skills add man-group/dtale
16K stars

PyGWalker: Turn your dataframe into an interactive UI for visual analysis

100

Quality

100

Trust

73

Fit

data-analysisJun 12, 2026 pushApache-2.0
$ npx skills add Kanaries/pygwalker
49K stars

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

100

Quality

100

Trust

76

Fit

data-analysisJun 14, 2026 pushBSD-3-Clause
$ npx skills add pandas-dev/pandas
45K stars

Streamlit — A faster way to build and share data apps.

100

Quality

100

Trust

76

Fit

data-analysisJun 14, 2026 pushApache-2.0
$ npx skills add streamlit/streamlit
43K stars

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

100

Quality

100

Trust

76

Fit

data-analysisJun 13, 2026 pushApache-2.0
$ npx skills add gradio-app/gradio

Evaluation

How to choose the right skill.

Produces reproducible steps and code where possible

Flags missing data, outliers, and schema assumptions

Uses readable charts and concise conclusions

Keeps sensitive data handling explicit

Questions

Can agents use these skills for spreadsheets?

Yes. Many data analysis skills support CSV or spreadsheet-style workflows, but sensitive business data should be handled with explicit approval.

What should a data analysis skill output?

A good skill should produce reproducible steps, data-quality notes, charts or tables when useful, and a concise explanation of the result.