go-samber-mo

Refactor Go error handling with samber/mo Result and Option types.

Updated May 2, 2026

Search Tags:#error handling #go #functional programming #option #monads #result #samber/mo

Ready to run

npx skills add https://github.com/Qunnnn/agents --skill go-samber-mo

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: go-samber-mo
Source: https://github.com/Qunnnn/agents/tree/main/skills/go/go-samber-mo
Command: npx skills add https://github.com/Qunnnn/agents --skill go-samber-mo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps Go developers reduce nil handling, repetitive error checks, and unsafe state management by applying monadic patterns from samber/mo.

Core Features & Use Cases

Option and Result Types: Use explicit representations for optional values and success or failure outcomes instead of fragile nil pointers and scattered error handling.
Functional Composition Patterns: Apply Map, FlatMap, Do notation, and Either workflows to create clearer and more composable Go logic.
Use Case: Build service layers that safely process optional database fields, API responses, and fallible operations while keeping control flow readable.

Quick Start

Ask the AI to refactor my Go error handling code to use samber/mo Result and Option types following the recommended patterns.

Frequently Asked Questions about go-samber-mo

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

FAQPage Schema

How do I handle errors in Go without repetitive nil checks?▼

You can handle errors without repetitive nil checks by using functional monads like Result and Option types to explicitly represent success or failure states, replacing fragile nil pointers with composable transformations.

What is the best way to refactor Go error handling code to use samber/mo?▼

The best way to refactor Go error handling code is to apply samber/mo Result and Option types, transforming scattered error checks into functional composition workflows with Map and FlatMap operations.

How do functional composition patterns work with Option and Result types in Go?▼

Functional composition patterns work by applying Map, FlatMap, Do notation, and Either workflows to Option and Result types, allowing you to chain transformations and manage fallible operations while keeping control flow readable.

Can I use monadic abstractions to process optional database fields in Go service layers?▼

Yes, you can use monadic abstractions to safely process optional database fields and API responses in Go service layers, using Option types for explicit optional value management and Result types for fallible operations.

Does Go support type-safe workflows for structured handling of success and failure states?▼

Go supports type-safe workflows for structured handling of success and failure states through functional programming libraries like samber/mo, which provide monadic abstractions to ensure nil safety and composable logic without native language features.