run-analysis

Orchestrate analytical pipelines to generate validated findings, charts, and slide decks.

1|Updated May 15, 2026
One-click install
npx skills add https://github.com/Amar1404/AI_ANALYST --skill run-analysis-amar1404
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: run-analysis
Source: https://github.com/Amar1404/AI_ANALYST/tree/main/skills/run-analysis
Command: npx skills add https://github.com/Amar1404/AI_ANALYST --skill run-analysis-amar1404

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, matplotlib, seaborn, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the process of running full analytical pipelines, creating presentation decks, and conducting deep investigations, saving you time and effort in data analysis and reporting.

Core Features & Use Cases

  • End-to-End Analysis: Orchestrate complex workflows with up to 18 specialized agents for data exploration, analysis, storytelling, and chart creation.
  • Presentation Deck Generation: Build polished slide decks with charts and narratives based on analysis findings.
  • Deep Investigations: Conduct thorough investigations with automated data analysis and validation.
  • Use Case: If you need to analyze sales data, identify trends, and create a presentation deck with charts and narratives, this skill can automate the entire process.

Quick Start

Run the 'run-analysis' skill with your business question, data path, and execution plan.

Frequently Asked Questions about run-analysis

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

FAQPage Schema
How do I automate an analytical pipeline for data exploration and presentation deck creation?

Automate an analytical pipeline for presentation deck creation by running this skill with your business question, data path, and execution plan to orchestrate end-to-end data exploration, validated findings, and slide generation.

What is the process for turning raw data into validated findings and slide decks?

The process involves orchestrating a full analytical pipeline that handles data exploration, automated analysis, storytelling, and chart creation to generate validated findings and polished presentation decks.

Can I use pandas and matplotlib to generate charts within an automated deep investigation workflow?

Yes, this skill orchestrates deep investigations using dependencies like pandas, numpy, matplotlib, and seaborn to conduct automated data analysis and generate validated charts for your presentation deck.

Does automated presentation deck generation require specific data formats or configuration to execute?

Automated presentation deck generation requires data access and execution configuration to run the analytical pipeline, utilizing up to 18 specialized agents for data exploration and storytelling.

What's the best way to analyze sales data, identify trends, and build a presentation deck with narratives?

The best way to analyze sales data and build a presentation deck is to run this skill, which automates the entire process from identifying trends to creating charts and narratives based on validated findings.

Are there limitations when orchestrating complex analytical workflows with up to 18 specialized agents?

While orchestrating up to 18 specialized agents for data exploration and analysis, limitations depend on your data access and configuration; this skill requires both to successfully execute the analytical pipeline and generate decks.