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FrancisVarga
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w88 Data Model

Define w88 gaming platform event types, entity relationships, and join keys.

Updated Feb 13, 2026
Search Tags:#schema#data model#gaming#entity extraction#w88#event patterns
One-click install
npx skills add https://github.com/FrancisVarga/stupid-db --skill w88-data-model
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: w88 Data Model
Source: https://github.com/FrancisVarga/stupid-db/tree/main/packages/stupid-claude-agent/.claude/skills/w88-data-model
Command: npx skills add https://github.com/FrancisVarga/stupid-db --skill w88-data-model

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a comprehensive understanding of the w88 gaming platform's data model, including entity types, event structures, and relationships, which is crucial for data analysis and entity extraction.

Core Features & Use Cases

  • Data Schema Definition: Details event types (Login, GameOpened, API Error, PopupModule), their fields, and data volumes.
  • Entity & Relationship Mapping: Outlines 10 entity types and their interconnections (e.g., Member PLAYS Game).
  • Use Case: When asked to analyze player activity, you can use this Skill to understand how to join 'Member' and 'GameOpened' events to count game plays per player.

Quick Start

Explain the relationship between a 'Member' and a 'Game' using the w88 data model.

Frequently Asked Questions about w88 Data Model

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

FAQPage Schema
What is the w88 gaming data model and how does it structure platform events?▼

The w88 gaming data model structures platform events by defining event types like Login, GameOpened, API Error, and PopupModule, detailing their specific fields and mapping 10 entity types to outline relationships for analytics.

How do I join gaming entities to analyze player activity using the w88 data schema?▼

To analyze player activity, you join the 'Member' entity and 'GameOpened' events using defined join keys within the w88 data schema, allowing you to accurately count game plays per individual player.

Do I need to know Parquet file structures to query the w88 data model effectively?▼

Yes, effective querying of the w88 data model requires knowledge of Parquet file structures and temporal data partitioning to correctly navigate and extract the defined gaming event patterns.

What entity relationships are defined in the w88 gaming platform data schema?▼

The w88 gaming platform data schema outlines 10 distinct entity types and their interconnections, such as mapping how a 'Member' entity directly interacts with a 'Game' entity.

How does temporal data partitioning impact event pattern analysis in the w88 ecosystem?▼

Temporal data partitioning impacts event pattern analysis by organizing time-series gaming events, requiring structured querying approaches to accurately extract and evaluate event sequences within the w88 ecosystem.

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