dingo

Transpile .dingo files into idiomatic Go code.

7|4|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/MadAppGang/magus --skill dingo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dingo
Source: https://github.com/MadAppGang/magus/tree/main/plugins/dev/skills/backend/dingo
Command: npx skills add https://github.com/MadAppGang/magus --skill dingo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies and enhances Go development by providing modern language features like concise error handling, sum types, and pattern matching through a transpilation process.

Core Features & Use Cases

  • Concise Error Handling: Use the ? operator for cleaner error propagation.
  • Sum Types & Pattern Matching: Define and match on enums for robust data modeling.
  • Option/Result Types: Implement safer optional values and explicit error handling.
  • Use Case: Transpile .dingo files to idiomatic Go code, enabling developers to write more expressive and maintainable backend services.

Quick Start

Use the dingo skill to transpile the file 'main.dingo' to Go.

Frequently Asked Questions about dingo

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

FAQPage Schema
How do I simplify error handling in Go without verbose if-statements?

Concise error handling in Go is achieved by transpiling a meta-language that supports the `?` operator for propagation. This generates idiomatic Go code, eliminating repetitive error checks while maintaining safety.

Can I use sum types and pattern matching for Go backend development?

Yes, sum types and pattern matching are available for Go by writing in a meta-language that transpiles to idiomatic code. This enables robust data modeling and enum matching not natively supported in standard Go.

How do I integrate a transpiler into Go CI/CD pipelines?

The transpiler integrates seamlessly into Go build and CI/CD pipelines by transpiling `.dingo` files to standard Go code. This allows modern language features to compile within existing infrastructure without disruption.

What is the best way to implement Option and Result types in Go?

Implementing Option and Result types in Go is done via a transpiler that processes a meta-language into idiomatic code. This provides safer optional values and explicit error handling for robust backend services.

Does transpiling Go code with generics affect build performance?

Transpiling Go code with generics processes `.dingo` files into standard idiomatic Go before compilation. Because output is native Go, build performance remains consistent with standard Go compilation times.