run-demo

Automate provisioning and execution of the Automated Intelligence Snowflake demo.

1|Updated Dec 23, 2025

Search Tags:#rbac #demo #snowflake #data-lifecycle #cortex #dynamic-tables #real-time-ingestion

Ready to run

npx skills add https://github.com/iamontheinet/automated-intelligence --skill run-demo

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: run-demo
Source: https://github.com/iamontheinet/automated-intelligence/tree/main/.cortex/skills/run-demo
Command: npx skills add https://github.com/iamontheinet/automated-intelligence --skill run-demo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automated Intelligence provides a guided, end-to-end demonstration of a real-time data platform, enabling teams to observe the full lifecycle from ingestion to insights in a safe, reproducible environment.

Core Features & Use Cases

End-to-end coverage of 11 Snowflake capabilities including Snowpipe Streaming, Gen2 warehouses, Dynamic Tables, Interactive Tables, Cortex Agent, Cortex Search, Semantic Views, Row Access Policy, ML Model Registry, dbt analytics, and Streamlit dashboards.
Guided preflight checks, section-by-section execution, and pause/resume control for presenters.
Reproducible demos for onboarding, platform training, and capability demonstrations in a governance-enabled environment.

Quick Start

Run the full Automated Intelligence end-to-end demo to see all capabilities in action.

Frequently Asked Questions about run-demo

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

FAQPage Schema

How do I run an end-to-end Snowflake demo covering real-time ingestion and governance?▼

To run an end-to-end Snowflake demo, this Skill automates provisioning and execution across the data lifecycle from real-time ingestion to governance, using guided preflight checks and deterministic steps.

What Snowflake capabilities are included in the Automated Intelligence demo?▼

The Automated Intelligence demo covers 11 Snowflake capabilities, including Snowpipe Streaming, Dynamic Tables, Cortex Search, Cortex Agent, Semantic Views, Row Access Policy, ML Model Registry, dbt analytics, and Streamlit dashboards.

Can I pause and resume a Snowflake platform training demo for presentations?▼

Yes, the Snowflake platform training demo supports pause and resume control for presenters, alongside section-by-section execution to guide audiences through each capability in a reproducible environment.

Do I need any dependencies installed to execute the Snowflake data lifecycle demo?▼

No external dependencies are required to execute the Snowflake data lifecycle demo; the Skill relies solely on its internal deterministic steps and preflight checks to provision the environment.

How does the demo handle row access policy and RBAC in a governance-enabled environment?▼

The demo handles row access policy and RBAC by executing within a governance-enabled environment, demonstrating Snowflake's Row Access Policy feature alongside other capabilities for secure platform training.

What is the best way to demonstrate Cortex Agent and Dynamic Tables together?▼

The best way to demonstrate Cortex Agent and Dynamic Tables together is through the Automated Intelligence demo, which provides a reproducible environment covering both capabilities within a single end-to-end execution.