go-patterns

Explain idiomatic Go design patterns with examples from the GoFHIR project.

2|Updated Feb 14, 2025
One-click install
npx skills add https://github.com/gofhir/validator --skill go-patterns-gofhir
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: go-patterns
Source: https://github.com/gofhir/validator/tree/main/.claude/skills/go-patterns
Command: npx skills add https://github.com/gofhir/validator --skill go-patterns-gofhir

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers understand and implement idiomatic design patterns in Go, leveraging real-world examples from the GoFHIR project to build more robust and extensible systems.

Core Features & Use Cases

  • Pattern Identification: Provides clear explanations and code snippets for common Go design patterns.
  • Practical Examples: Demonstrates how patterns like Pipeline, Registry, Visitor, Composite, Object Pool, and LRU Cache are applied in the GoFHIR validator.
  • Use Case: When designing a new feature for a Go application that requires processing data through multiple stages, you can consult this Skill to see how the Pipeline pattern is implemented and adapt it to your needs.

Quick Start

Explain the Pipeline pattern as implemented in validator/pipeline.go.

Frequently Asked Questions about go-patterns

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

FAQPage Schema
How do I implement the Pipeline pattern in Go for multi-stage data processing?

The Pipeline pattern in Go connects sequential processing stages to stream data through multiple transformations. This Skill demonstrates its implementation using practical examples from the GoFHIR validator to build extensible and maintainable data processing workflows.

What are idiomatic Go design patterns for building extensible software architecture?

Idiomatic Go design patterns include Pipeline, Registry, Visitor, Composite, Object Pool, and LRU Cache. These patterns provide structural templates for solving common software architecture challenges while adhering to Go's specific design principles and conventions.

When should I use the Visitor or Registry patterns in a Go application?

Use the Visitor pattern to separate algorithms from object structures, and the Registry pattern to manage global resource lookups. This Skill explains their specific applications using complex FHIR validation logic as a real-world reference.

Are these Go design patterns suitable for complex systems like healthcare data validation?

Yes, these Go design patterns are demonstrated through the GoFHIR project, which handles complex FHIR validation. They facilitate understanding of pattern application in intricate systems, ensuring the resulting Go applications remain maintainable and extensible.

What is the best way to manage memory with Object Pool and LRU Cache patterns in Go?

The Object Pool pattern reuses allocated objects to reduce garbage collection overhead, while the LRU Cache pattern evicts least recently used items to bound memory usage. This Skill provides practical Go code snippets for implementing both.

Does this resource explain how the Composite pattern works in Go?

Yes, the Composite pattern is explained to help developers structure tree hierarchies and treat individual objects and compositions uniformly. The Skill provides clear explanations and code snippets demonstrating its application within the GoFHIR project.