How do I activate this skill in Claude Code?

The skill is triggered automatically when you use keywords such as 'schema', 'data model', 'entity', or 'terminology' during your session.

Can it handle multilingual terminology?

Yes, it is specifically designed to map local business terms to English code implementations and global industry standards for better team communication.

How does this skill interact with my existing codebase?

It focuses on the planning phase, generating documentation like glossary.md and schema.md which the AI then references during the active coding phases.

Is this skill only for database administrators?

No, it is for any developer or architect who needs to define the domain model and ensure the AI understands the 'things' and 'relationships' within the project.

What is the primary benefit of using Phase 1 Schema?

It creates a unified 'source of truth' for project language, ensuring the AI agent understands your specific business logic without needing repetitive explanations.

Project Schema & Terminology Designer

Name: Project Schema & Terminology Designer
Author: popup-studio-ai

bypopup-studio-ai

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Database Management

Establishes a unified project language and robust data structures to ensure consistency across AI-native development workflows.

About

The Phase 1 Schema skill is a foundational tool for the bkit Vibecoding methodology, designed to eliminate ambiguity between developers and AI agents. It guides the creation of a comprehensive project glossary, maps internal business terms to global standards, and defines core entities and their relationships. By standardizing terminology and data structures at the project's outset, it ensures that Claude Code has the necessary context to generate accurate, domain-specific code and documentation throughout the development lifecycle.

Key Features

6 GitHub stars
Automated glossary generation mapping business terms to technical standards
Comprehensive entity relationship and data structure design guidance
Automated CLAUDE.md configuration for persistent AI context referencing
Multilingual support for mapping local UI terms to English code implementations
Standardized documentation templates for domain models and schemas

Use Cases

Architecting complex data relationships before beginning the implementation phase
Initializing new projects to align AI understanding with specific domain logic
Resolving naming conflicts between legacy business terms and modern API standards

About

Key Features

6 GitHub stars
Automated glossary generation mapping business terms to technical standards
Comprehensive entity relationship and data structure design guidance
Automated CLAUDE.md configuration for persistent AI context referencing
Multilingual support for mapping local UI terms to English code implementations
Standardized documentation templates for domain models and schemas

Use Cases

Architecting complex data relationships before beginning the implementation phase
Initializing new projects to align AI understanding with specific domain logic
Resolving naming conflicts between legacy business terms and modern API standards