File to Code

Generate production-ready code from file specifications, data schemas, and requirements documents.

Overview

This skill reads structured input files -- CSV data, JSON schemas, SQL DDL statements, protobuf definitions, OpenAPI specs, or plain-text requirements -- and generates complete, production-ready code to process, serve, or transform that data. Instead of manually writing boilerplate models, validation logic, and CRUD endpoints, this skill analyzes the input structure and produces well-typed code with proper error handling, input validation, and test coverage.

The skill supports multiple output languages and frameworks. It infers types from data samples, respects constraints defined in schemas, and follows best practices for the target framework. When generating API endpoints, it includes request validation, error responses, and OpenAPI documentation. When generating data processing pipelines, it includes type coercion, null handling, and logging.

Instructions

1. Point to the input file or paste its contents:

• "Read data/users.csv and generate a REST API for it"
• "Here's my JSON schema: { ... } -- generate TypeScript types and a validator"
• "Create a data pipeline from schema.sql"

1. Specify the target language and framework (optional -- the skill will infer reasonable defaults):

• Language: TypeScript, Python, Go, Rust, Java
• Framework: Express, FastAPI, Gin, Actix, Spring Boot
• If unspecified, defaults to TypeScript with Express for APIs, or Python for data processing

1. Indicate the scope of what you want generated:

• "Just the types" -- generates type definitions and interfaces only
• "Full CRUD API" -- generates routes, controllers, models, validation, and tests
• "Parser only" -- generates a file reader/parser with error handling
• "Everything" -- generates the full stack: types, API, tests, and documentation

1. Review the generated code. The skill creates files in your project directory following standard conventions (e.g., src/models/, src/routes/, tests/). Inspect the output and request adjustments if needed.

Output

Depending on the input and requested scope, the skill generates:

• Type Definitions: Interfaces, types, or structs matching the input schema with proper nullability and constraints.
• Validation Logic: Input validation using libraries appropriate to the target framework (Zod for TypeScript, Pydantic for Python, etc.).
• API Endpoints: RESTful routes with CRUD operations, request/response typing, error handling, and pagination support.
• Data Pro