setup

Configure the AI Analyst environment through a conversational interview process.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill Unit streamlines the initial setup, configuration, and onboarding process for the AI Analyst, ensuring a smooth and efficient analytical environment.

Core Features & Use Cases

  • Conversational Interview: Guides users through a 4-phase interview to configure their analytical environment.
  • Role & Team Configuration: Defines user roles, technical expertise, team, and domain.
  • Data Connection: Connects to various data sources like CSV, DuckDB, Cloud warehouses, Athena, and ClickHouse.
  • Knowledge Repository Setup: Configures the knowledge base with options for GitHub repo, local directory, or using built-in files.
  • Business Context: Sets up business context, key metrics, and current goals.
  • Output Preferences: Configures detail level, chart preferences, and sharing methods.

Quick Start

Run the /setup command to start the configuration process for your AI Analyst environment.

Frequently Asked Questions about setup

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

FAQPage Schema
How do I configure my AI Analyst environment for the first time?

To configure your AI Analyst environment, run the /setup command to trigger a conversational interview process. This interactive session guides you through defining your role, connecting data sources, and establishing your business context.

What data sources can I connect during AI Analyst onboarding?

During AI Analyst onboarding, you can connect to data sources including CSV files, DuckDB, Cloud warehouses, Athena, and ClickHouse. The setup process guides you through linking these platforms to your analytical environment.

How do I set up a knowledge repository for my AI Analyst?

To set up a knowledge repository for your AI Analyst, use the setup interview to choose your preferred source. You can configure a GitHub repository, specify a local directory, or utilize built-in files to populate your knowledge base.

Can I define user roles and business context during the AI Analyst setup?

Yes, you can define user roles and business context during the AI Analyst setup. The configuration interview captures technical expertise, team domain, key metrics, and current goals to tailor your analytical outputs.

Does the AI Analyst setup process require manual input?

The AI Analyst setup requires manual input through a conversational interview process. You must interact with the system to provide role information, data connection details, knowledge repository settings, and output preferences.

What output preferences can I configure for my AI Analyst environment?

For your AI Analyst environment, you can configure output preferences including the detail level of responses, chart preferences, and sharing methods. These settings are established during the final phase of the setup interview.