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data-analysis-agent

Profile and analyze structured datasets from CSV, JSON, and databases.

Updated Aug 23, 2026
Search Tags:#analytics#reporting#visualization#pandas#data-analysis#jupyter#notebook
One-click install
npx skills add https://github.com/lk-snkrs/spiti-financial-legacy-mixed --skill data-analysis-agent-lk-snkrs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-analysis-agent
Source: https://github.com/lk-snkrs/spiti-financial-legacy-mixed/tree/main/.hermes/skills/data-science/data-analysis-agent
Command: npx skills add https://github.com/lk-snkrs/spiti-financial-legacy-mixed --skill data-analysis-agent-lk-snkrs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, and includes scripts (resource) components.

What problem does it solve?

This Skill enables systematic exploration, analysis, and visualization of structured datasets to turn raw data into actionable insights.

Core Features & Use Cases

  • End-to-end data profiling, exploration, visualization, and reporting workflow from raw data to reproducible notebooks.
  • Notebook-ready outputs and integrated workflows to support iterative analysis and storytelling.
  • Use cases include profiling CSV/JSON data, identifying correlations, and generating concise data reports.

Quick Start

Load a dataset path and run a full profiling, exploration, and visualization workflow.

Frequently Asked Questions about data-analysis-agent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate data profiling and exploration for a CSV dataset?▼

Automate data profiling by loading a CSV file path to trigger an end-to-end workflow that profiles structured datasets, explores correlations, and visualizes distributions to uncover actionable insights.

Can I generate reproducible Jupyter notebooks for data analysis automatically?▼

Yes, generating reproducible notebooks is supported natively. The workflow synthesizes findings into notebook-ready outputs, integrating iterative analysis and storytelling directly into your reporting tasks.

Does this data analysis workflow work with JSON files and database-backed data?▼

Yes, the data analysis workflow processes JSON files and database-backed data. It profiles and explores these structured datasets to execute diagnostic, exploratory, and reporting tasks seamlessly.

Do I need pandas installed to run structured dataset analysis and visualization?▼

Yes, pandas is a required dependency to run structured dataset analysis. It provides the foundational framework for loading, profiling, exploring, and visualizing data throughout the workflow.

What is the best way to identify correlations and generate data reports from raw data?▼

The best way to identify correlations is using an end-to-end workflow that profiles raw data, explores relationships, visualizes variables, and synthesizes findings into concise, reproducible data reports.

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