Analyze datasets
Discover skills for inspecting CSVs, summarizing datasets, creating charts, validating metrics, and helping agents reason over structured data.
Try this task
I need my agent to analyze CSV data, produce insights, and explain trends.
Agent should be able to
Resolve
Returns the best skill, alternatives, install handoff, risk summary, and safety gate.
Text plan
Plain text version for Codex, Claude Code, Cursor, and custom agent runtimes.
Browse
Open the filtered registry view for this workflow and compare candidates manually.
Workflow map
Profile a dataset
Generate charts
Explain business metrics
Validate spreadsheet outputs
Best first installs
10 Weeks, 20 Lessons, Data Science for All!
Install
Agent install candidate
Risk
Safe to try
Agent fit
CLI + Codex
Updated
Jun 10, 2026
$ npx skills add microsoft/Data-Science-For-BeginnersChat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Install
Human review before install
Risk
Needs review
Agent fit
OpenAI Agents + CLI
Updated
Oct 28, 2025
$ npx skills add sinaptik-ai/pandas-aiVisualizer for pandas data structures
Install
Agent install candidate
Risk
Safe to try
Agent fit
CLI + Codex
Updated
May 29, 2026
$ npx skills add man-group/dtaleSkill shortlist
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
Review before production · Review the audit page, then allow agent install in a sandboxed workflow.
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
Review before production · Review the audit page, then allow agent install in a sandboxed workflow.
Java dataframe and visualization library
Review before production · Review the audit page, then allow agent install in a sandboxed workflow.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Low metadata risk · Review the audit page, then allow agent install in a sandboxed workflow.
Streamlit — A faster way to build and share data apps.
Review before production · Review the audit page, then allow agent install in a sandboxed workflow.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Low metadata risk · Review the audit page, then allow agent install in a sandboxed workflow.
DataGear数据可视化分析平台，自由制作任何您想要的数据看板
Review before production · Review the audit page, then allow agent install in a sandboxed workflow.
🕸️ Web apps in pure Python 🐍
Review before production · Review the audit page, then allow agent install in a sandboxed workflow.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Review before production · Review the audit page, then allow agent install in a sandboxed workflow.
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Low metadata risk · Require human approval before installing into a real workspace.
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Low metadata risk · Review the audit page, then allow agent install in a sandboxed workflow.
WeFlow - 一个本地的微信聊天记录导出和年度报告应用
Review before production · Require human approval before installing into a real workspace.
Statsmodels: statistical modeling and econometrics in Python
Review before production · Review the audit page, then allow agent install in a sandboxed workflow.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Low metadata risk · Review the audit page, then allow agent install in a sandboxed workflow.
Preswald is a WASM packager for Python-based interactive data apps: bundle full complex data workflows, particularly visualizations, into single files, runnable completely in-browser, using Pyodide, DuckDB, Pandas, and Plotly, Matplotlib, etc. Build dashboards, reports, and notebooks that run offline, load fast, and share like a document.
Low metadata risk · Review the audit page, then allow agent install in a sandboxed workflow.
FAQ
These answers are written for both human builders and agents consuming the Registry API.
Start by comparing Data Science For Beginners, Pandas AI, Dtale. OpenAgentSkill ranks them by workflow fit, GitHub adoption, trust score, safety gate, and install readiness.
Yes. Use the linked Registry API prompt to query /api/skills/search with the task: "I need my agent to analyze CSV data, produce insights, and explain trends." and retrieve install handoff links for the top results.
No. Start with the highest-fit skill, test it in a sandbox workflow, and add companion skills only when the task needs extra coverage.
Analyze datasets
Discover skills for inspecting CSVs, summarizing datasets, creating charts, validating metrics, and helping agents reason over structured data.
Try this task
I need my agent to analyze CSV data, produce insights, and explain trends.
Agent should be able to
Resolve
Returns the best skill, alternatives, install handoff, risk summary, and safety gate.
Text plan
Plain text version for Codex, Claude Code, Cursor, and custom agent runtimes.
Browse
Open the filtered registry view for this workflow and compare candidates manually.
Workflow map
Profile a dataset
Generate charts
Explain business metrics
Validate spreadsheet outputs
Best first installs
10 Weeks, 20 Lessons, Data Science for All!
Install
Agent install candidate
Risk
Safe to try
Agent fit
CLI + Codex
Updated
Jun 10, 2026
$ npx skills add microsoft/Data-Science-For-BeginnersChat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Install
Human review before install
Risk
Needs review
Agent fit
OpenAI Agents + CLI
Updated
Oct 28, 2025
$ npx skills add sinaptik-ai/pandas-aiVisualizer for pandas data structures
Install
Agent install candidate
Risk
Safe to try
Agent fit
CLI + Codex
Updated
May 29, 2026
$ npx skills add man-group/dtaleSkill shortlist
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
Review before production · Review the audit page, then allow agent install in a sandboxed workflow.
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
Review before production · Review the audit page, then allow agent install in a sandboxed workflow.
Java dataframe and visualization library
Review before production · Review the audit page, then allow agent install in a sandboxed workflow.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Low metadata risk · Review the audit page, then allow agent install in a sandboxed workflow.
Streamlit — A faster way to build and share data apps.
Review before production · Review the audit page, then allow agent install in a sandboxed workflow.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Low metadata risk · Review the audit page, then allow agent install in a sandboxed workflow.
DataGear数据可视化分析平台，自由制作任何您想要的数据看板
Review before production · Review the audit page, then allow agent install in a sandboxed workflow.
🕸️ Web apps in pure Python 🐍
Review before production · Review the audit page, then allow agent install in a sandboxed workflow.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Review before production · Review the audit page, then allow agent install in a sandboxed workflow.
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Low metadata risk · Require human approval before installing into a real workspace.
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Low metadata risk · Review the audit page, then allow agent install in a sandboxed workflow.
WeFlow - 一个本地的微信聊天记录导出和年度报告应用
Review before production · Require human approval before installing into a real workspace.
Statsmodels: statistical modeling and econometrics in Python
Review before production · Review the audit page, then allow agent install in a sandboxed workflow.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Low metadata risk · Review the audit page, then allow agent install in a sandboxed workflow.
Preswald is a WASM packager for Python-based interactive data apps: bundle full complex data workflows, particularly visualizations, into single files, runnable completely in-browser, using Pyodide, DuckDB, Pandas, and Plotly, Matplotlib, etc. Build dashboards, reports, and notebooks that run offline, load fast, and share like a document.
Low metadata risk · Review the audit page, then allow agent install in a sandboxed workflow.
FAQ
These answers are written for both human builders and agents consuming the Registry API.
Start by comparing Data Science For Beginners, Pandas AI, Dtale. OpenAgentSkill ranks them by workflow fit, GitHub adoption, trust score, safety gate, and install readiness.
Yes. Use the linked Registry API prompt to query /api/skills/search with the task: "I need my agent to analyze CSV data, produce insights, and explain trends." and retrieve install handoff links for the top results.
No. Start with the highest-fit skill, test it in a sandbox workflow, and add companion skills only when the task needs extra coverage.