builder-agent

Implement code from specifications into tested components with validation and error handling.

Updated Feb 23, 2026
One-click install
npx skills add https://github.com/unnamedmistress/menuspy-marketing --skill builder-agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: builder-agent
Source: https://github.com/unnamedmistress/menuspy-marketing/tree/main/builder-agent
Command: npx skills add https://github.com/unnamedmistress/menuspy-marketing --skill builder-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill converts written specifications and feature requests into implemented, tested, and maintainable code, reducing developer time spent on boilerplate, repetitive CRUD work, and integration wiring.

Core Features & Use Cases

  • Specification-driven implementation: Implement CRUD logic, REST/GraphQL endpoints, UI components, and database queries directly from requirements.
  • Testing and quality: Produce unit and integration tests alongside implementations with input validation, error handling, and clear comments.
  • Model routing and workflow: Prefer Codex for boilerplate tasks and route complex algorithms or integrations to higher-capability models; useful for feature delivery, prototyping, and bug fixes.

Quick Start

Implement a new CRUD API with validation and tests for a "projects" resource following the repository's architecture.

Frequently Asked Questions about builder-agent

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

FAQPage Schema
How do I generate tested CRUD API endpoints from specifications?

You generate tested CRUD API endpoints from specifications by providing written feature requirements to the builder-agent. It produces working REST or GraphQL endpoints with input validation, error handling, and unit and integration tests.

How does model routing work for code generation and complex logic?

Model routing for code generation works by preferring Codex for boilerplate tasks and routing complex algorithms or integrations to higher-capability models. This ensures efficient generation of secure, maintainable code across varying complexity levels.

Can I use specification-driven implementation for UI components and database queries?

Yes, specification-driven implementation supports UI components and database queries directly from requirements. It generates maintainable code adhering to architecture patterns, applicable to feature development, bug fixes, and prototyping.

What is the best way to automate boilerplate code generation with tests?

The best way to automate boilerplate code generation with tests is using specification-driven implementation that routes repetitive CRUD work to Codex. It produces unit and integration tests alongside implementations with clear comments and validation.

Does this code generation approach work for both REST and GraphQL APIs?

Yes, this code generation approach works for both REST and GraphQL APIs. It implements CRUD logic from written specifications and feature requests, generating secure endpoints with associated test suites and error handling.

Why should I use specification-driven implementation instead of writing code manually?

You should use specification-driven implementation to reduce developer time spent on boilerplate, repetitive CRUD work, and integration wiring. It converts written specifications directly into implemented, tested, and maintainable software components.