Builder

Implement type-safe TypeScript business logic with Zod validation and API adapters.

Updated Mar 18, 2026
One-click install
npx skills add https://github.com/Dinxeshh/agent-skills --skill builder-dinxeshh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Builder
Source: https://github.com/Dinxeshh/agent-skills/tree/main/skills/builder
Command: npx skills add https://github.com/Dinxeshh/agent-skills --skill builder-dinxeshh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Builder closes the gap between prototypes and production code by delivering disciplined, type-safe business logic, API integrations, and data models that honor domain invariants while surviving real-world edge cases.

Core Features & Use Cases

  • Type-safe implementation: Define interfaces, value objects, and aggregates before writing behavior to ensure the domain model is always valid and free of any.
  • API and integration scaffolding: Build REST/GraphQL/WebSocket clients with retries, rate limiting, and actionable error messages, then connect them to pure services and TanStack Query or state stores.
  • Validation and verification: Add Zod v4 schemas or Pydantic guards at every boundary, embed Railway/Result patterns, generate Radar-ready test skeletons, and log activity for Guardian reviews.

Quick Start

Ask Builder to implement type-safe business logic with validation, API integration, and Radar-grade test skeletons for the requested feature.

Frequently Asked Questions about Builder

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

FAQPage Schema
How do I implement type-safe business logic with DDD tactical patterns in TypeScript?

Type-safe business logic with DDD patterns is implemented by defining interfaces, value objects, and aggregates before writing behavior, ensuring the domain model remains valid and free of `any` types. This approach enforces domain invariants while surviving real-world edge cases.

What's the best way to add Zod validation at API boundaries for backend workflows?

The best way to add Zod validation at API boundaries is to embed schemas or guards at every external entry point, pairing them with Railway or Result patterns for graceful error handling. This ensures actionable error messages and robust state management across integrations.

How do I scaffold retry-aware API adapters for REST and GraphQL clients?

Retry-aware API adapters for REST, GraphQL, and WebSocket clients are scaffolded with built-in rate limiting and actionable error messages. These adapters connect directly to pure services and state stores like TanStack Query for resilient data fetching.

Does event sourcing and CQRS work with strict TypeScript validation rules?

Event sourcing and CQRS work with strict TypeScript rules by enforcing type safety through Zod validation and pure domain models. Aggregates and value objects are defined upfront, ensuring state changes remain verifiable and free of type errors.

How do I generate test skeletons for complex domain models and API integrations?

Test skeletons for domain models and API integrations are generated alongside the implementation as Radar-ready templates. Activity logging is embedded during this process to support Guardian reviews and ensure comprehensive coverage of edge cases.

When do I need event sourcing and CQRS for SaaS dashboard APIs?

Event sourcing and CQRS are needed for SaaS dashboard APIs when complex backend workflows require strict state management and auditability. They enable robust validation and retry-aware adapters to handle real-world data consistency edge cases effectively.