What validation tools are integrated?

The skill includes specific implementation patterns for Zod, providing robust runtime validation for emails, URLs, dates, and custom enums.

How does it improve AI agent performance?

By structuring data in a standardized 'facts.ts' file, the AI agent can accurately retrieve personal and project data without hallucinations or inconsistent information.

Does this work with any TypeScript project?

Yes, while designed as a Claude Code skill, the patterns and helper functions use standard TypeScript and Zod, making them compatible with any modern TS application.

What is the main benefit of this skill?

It eliminates hardcoded data by centralizing all project facts into a single, type-safe source of truth that both the UI and AI agents can reference consistently.

Data Architecture Patterns

Name: Data Architecture Patterns
Author: omerakben

byomerakben

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데이터베이스 관리

Implements a type-safe, single-source-of-truth data architecture using TypeScript and Zod for centralized project and personal information.

소개

The Data Architecture Skill provides a standardized framework for managing application data by eliminating hardcoded values in favor of a centralized repository. It establishes a robust 'facts.ts' structure that ensures strict type safety through advanced TypeScript patterns like branded types, const assertions, and discriminated unions. This skill is ideal for developers building data-driven portfolios or applications where consistency is critical across UI components, API routes, and AI agent knowledge bases.

주요 기능

Comprehensive library of helper functions for filtering, sorting, and grouping data
Strict type safety using const assertions and branded types to prevent ID collisions
Zod schema integration for seamless runtime validation and type inference
Automated AI agent data integration to ensure consistent bot responses
Single Source of Truth (SSOT) pattern for centralized data management
1 GitHub stars

사용 사례

Centralizing personal portfolio data for synchronized use across web pages and AI chatbots
Securing API route handlers with schema-based validation and auto-generated types
Building type-safe project catalogs with complex metadata and relational filtering

소개

주요 기능

Comprehensive library of helper functions for filtering, sorting, and grouping data
Strict type safety using const assertions and branded types to prevent ID collisions
Zod schema integration for seamless runtime validation and type inference
Automated AI agent data integration to ensure consistent bot responses
Single Source of Truth (SSOT) pattern for centralized data management
1 GitHub stars

사용 사례

Centralizing personal portfolio data for synchronized use across web pages and AI chatbots
Securing API route handlers with schema-based validation and auto-generated types
Building type-safe project catalogs with complex metadata and relational filtering