golang-samber-lo

Transform Go collections with type-safe functional helpers from samber/lo.

Updated Apr 24, 2026
One-click install
npx skills add https://github.com/Utchash007/TermTales --skill golang-samber-lo-utchash007
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: golang-samber-lo
Source: https://github.com/Utchash007/TermTales/tree/main/.agents/skills/golang-samber-lo
Command: npx skills add https://github.com/Utchash007/TermTales --skill golang-samber-lo-utchash007

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Go developers often write boilerplate for data transformations; this skill provides a large, type-safe functional toolkit built on samber/lo to transform slices, maps, and other collections without manual loops.

Core Features & Use Cases

  • Core immutable utilities (lo) with 500+ helpers and a composable API.
  • Parallel (lop), mutable (lom), lazy (loi), and experimental SIMD (lo/exp/simd) variants to scale performance and fit different workloads.
  • Use cases include Map, Filter, Reduce, GroupBy, Chunk, Flatten, Uniq, and more for data processing, analytics, and transformation in Go projects.

Quick Start

Install via go get github.com/samber/lo and start composing transforms with lo.Map, lo.Filter, and lo.Reduce to process collections.

Frequently Asked Questions about golang-samber-lo

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

FAQPage Schema
How do I write type-safe functional transforms on slices and maps in Go without manual loops?

Type-safe functional transforms in Go use generics-based helpers like lo.Map, lo.Filter, and lo.Reduce to process slices and maps without manual loops. This provides an immutable-by-default, composable API to eliminate boilerplate data processing code.

What is the best way to scale Go functional utilities for large collection processing?

To scale Go functional utilities for large workloads, transition from core immutable helpers to parallel (lop), mutable (lom), or lazy (loi) variants. These samber/lo variants scale performance and fit different workloads while maintaining type safety.

Does Go functional programming with generics support immutable data processing?

Go functional programming with generics supports immutable data processing through the core samber/lo library. It provides 500+ helpers that return immutable-by-default results, ensuring original collections remain unchanged during data transforms.

When do I need to use mutable or lazy variants instead of standard Go functional utilities?

You need mutable (lom) or lazy (loi) variants instead of standard Go functional utilities when optimizing for memory constraints or deferred execution. Move to these variants or parallel (lop) collections when core immutable helpers become a performance bottleneck.

Can I use GroupBy, Chunk, and Flatten for data analytics in Go projects?

You can use GroupBy, Chunk, Flatten, and Uniq for data analytics in Go projects. These samber/lo helpers provide type-safe, composable transformations for processing and organizing collections during data analytics workflows.