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antigravity-arcade

Runs interactive BigQuery and Property Graph demo scenarios against live Google Cloud infrastructure.

Updated Jul 7, 2026
Search Tags:#google cloud#bigquery#live demo#bigframes#property graph#dataset provisioning#query labels
One-click install
npx skills add https://github.com/ricardolui/gcp-custom-agent-skills --skill antigravity-arcade-ricardolui
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: antigravity-arcade
Source: https://github.com/ricardolui/gcp-custom-agent-skills/tree/main/antigravity-arcade
Command: npx skills add https://github.com/ricardolui/gcp-custom-agent-skills --skill antigravity-arcade-ricardolui

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Demonstrating live Google Cloud data capabilities at events requires real infrastructure, real queries, and visible job attribution, which is tedious to set up manually. This Skill automates a 6-stage gamified arcade that provisions datasets, compiles Property Graph DDLs, and executes labeled BigQuery jobs against a live GCP project. ## Core Features & Use Cases - Live Dataset Provisioning: Creates real BigQuery datasets (summit_arcade_2026_logistics, summit_arcade_2026_fintech) with seed tables in the configured GCP project. - Property Graph Compilation: Compiles CREATE OR REPLACE PROPERTY GRAPH DDLs with MEASURE(AGG(...)) measures. - Job Attribution & Branching Scenarios: Runs queries with mandatory labels (datacloud:antigravity, summit:2026-arcade) so jobs appear in BigQuery Studio Query History, and evaluates Golden Path vs Sub-optimal vs Meme Path choices with live slot and execution metrics. - Use Case: At a cloud summit booth, a presenter launches the arcade engine, lets an attendee pick a scenario branch, and shows the resulting live BigQuery jobs and metrics in the console. ## Quick Start Start the interactive arcade session against the live GCP project by running the arcade engine with the --live flag.

Frequently Asked Questions about antigravity-arcade

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

FAQPage Schema
How do I run a live BigQuery demo with real queries?▼

Run the arcade engine with the --live flag to start an interactive terminal session that executes real BigQuery queries against the configured GCP project. All jobs carry labels so they appear in BigQuery Studio Query History.

How do I deploy BigQuery datasets and seed tables to GCP?▼

Run the deploy_live_gcp_assets.py script to create the summit_arcade_2026_logistics and summit_arcade_2026_fintech datasets with seed tables in the configured project. This must be done before running live scenarios.

How do I track BigQuery jobs in Query History with labels?▼

The skill runs every query with mandatory labels datacloud:antigravity and summit:2026-arcade. These labels make all arcade jobs filterable and visible in BigQuery Studio Query History for live attribution.

Does this work with BigQuery Property Graphs?▼

Yes, it compiles real CREATE OR REPLACE PROPERTY GRAPH DDL statements including MEASURE(AGG(...)) measures against the live project. The graph compilation is one of the six arcade stages.

What GCP project does the arcade run against?▼

The scenarios run against the configured project gricardo-next26-demos. The skill is designed for the Google Cloud Summit 2026 demo environment and requires access to that project.

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