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golang-data-structures

Explain Go slice, map, and container internals for performance-sensitive code.

5|1|Updated Apr 14, 2026
Search Tags:#performance#go#generics#maps#data-structures#slices#memory-layout
One-click install
npx skills add https://github.com/omarluq/og-template --skill golang-data-structures-omarluq
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: golang-data-structures
Source: https://github.com/omarluq/og-template/tree/main/.agents/skills/golang-data-structures
Command: npx skills add https://github.com/omarluq/og-template --skill golang-data-structures-omarluq

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Golang data structures clarity: slices, maps, arrays, and containers explained with internal details, guiding you to write efficient, correct Go code.

Core Features & Use Cases

  • Slice internals, capacity growth, and preallocation guidance for performance.
  • Map and hash internals, allocation strategies, and memory considerations.
  • Containers and standard library primitives (container/heap, container/list, container/ring) usage patterns.
  • Pointer types, weak pointers, and copy semantics for high-throughput code.
  • Generics and constraints in Go 1.18+, with practical patterns for generic containers.
  • Cross-references to deeper deep-dives and safety considerations.

Quick Start

Study the Go data structures guide to choose the right slice, map, or container for your performance-sensitive code.

Frequently Asked Questions about golang-data-structures

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

FAQPage Schema
How do Go slices work internally and when should I preallocate capacity?▼

Go slices use an underlying array with a header tracking length and capacity. Preallocate slice capacity using `make` when the final size is known, preventing repeated memory allocation and copy overhead during growth.

What's the best way to choose between maps and slices for performance in Go?▼

Choose slices for sequential access and maps for key-based lookups. Go maps handle hash collisions via linked lists and allocate memory dynamically, making slices more memory-efficient for ordered, index-based data.

How do I use generics to build custom data containers in Go?▼

Use Go 1.18+ generics and type constraints to define reusable data containers. This allows type-safe, generic data structures without runtime type assertions, optimizing memory layout and compile-time safety.

Does Go support weak pointers for high-throughput memory management?▼

Yes, Go supports weak pointers to manage references without preventing garbage collection. This optimizes high-throughput code by allowing the runtime to reclaim memory from unused objects automatically.

When should I use container/heap versus container/list in Go?▼

Use container/heap for priority queues requiring ordered retrieval, and container/list for doubly-linked sequential data. These standard library primitives provide specific memory layout and traversal performance characteristics.

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