Category

Data & Analytics Skills

Skills for data analysis, transformation, summarization, visualization, and analytics workflows.

6directory entries
1passed gate
1live use cases
3target keywords
Skills

6 directory entries

Reference

CSV Data Summarizer

Analyzes CSV files and generates insights with visualizations.

 Reference

D3.js Visualization

Produces D3 charts and interactive data visualizations.

 Reference

Google Sheets Skill

An agent skill for reading, writing and analyzing Google Sheets data.

 Reference

MSSQL Skill

An agent skill for safe read-only Microsoft SQL Server queries.

 Reference

MySQL Skill

An agent skill for safe read-only MySQL queries and inspection.

 Reference

Postgres Skill

An agent skill for safe read-only PostgreSQL queries and inspection.
How to choose

Evaluation checklist

  1. Prefer entries with clear source URLs, recent maintenance, and install instructions.
  2. Check whether the skill declares your target platform before trying it.
  3. Treat reference entries as discovery leads, not recommendations.
  4. Watch for weak documentation, unclear creator identity, or unsafe install patterns.
Use cases

Task-level entry points

intermediate

Visualize Data

Turn datasets, CSV files, and analysis notes into charts, summaries, and visual explanations.

FAQ

What are data & analytics skills?

Data & Analytics skills are reusable AI agent workflows for skills for data analysis, transformation, summarization, visualization, and analytics workflows.

How should I choose a data & analytics skill?

Start with rule-curated entries, verify platform compatibility, run a small representative test, and keep the skill only if it improves repeatability over a normal prompt.

Should I install every skill in this category?

No. Use the directory to shortlist candidates, then install only the skills that match a recurring workflow.