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
Claude Code + CLI
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
Safe to try
Agent fit
Claude Code + OpenAI Agents
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
Claude Code + CLI
Updated
May 29, 2026
$ npx skills add man-group/dtaleSkill shortlist
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
Low metadata risk · Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
Low metadata risk · Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.
Java dataframe and visualization library
Low metadata risk · Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.
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 · Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.
Beautiful, open source, WebGPU-based charting library
Low metadata risk · Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.
Streamlit — A faster way to build and share data apps.
Low metadata risk · Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Low metadata risk · Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.
DataGear数据可视化分析平台，自由制作任何您想要的数据看板
Low metadata risk · Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.
🕸️ Web apps in pure Python 🐍
Low metadata risk · Review the audit page, then allow agent install in a sandboxed workflow.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Low metadata risk · Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.
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.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Low metadata risk · Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.
WeFlow - 一个本地的微信聊天记录导出和年度报告应用
Review before production · Review the audit page, then allow agent install in a sandboxed workflow.
Statsmodels: statistical modeling and econometrics in Python
Low metadata risk · Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.
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.