go-data-structures

Analyze Go slices, maps, arrays, and standard library containers for performance optimization.

Updated May 2, 2026

Search Tags:#performance #golang #go #data structures #maps #slices

Ready to run

npx skills add https://github.com/Qunnnn/agents --skill go-data-structures-qunnnn

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers choose, implement, and optimize Go data structures correctly by explaining memory behavior, performance tradeoffs, and common usage patterns.

Core Features & Use Cases

Collection Fundamentals: Understand slices, maps, arrays, and their internal behaviors including allocation, copying, and concurrency considerations.
Standard Library Guidance: Learn when to use containers like heap, list, ring, and builders such as strings.Builder and bytes.Buffer.
Performance Optimization: Apply best practices for preallocation, cache-friendly structures, efficient string handling, and avoiding common collection anti-patterns.

Quick Start

Ask the Go data structures skill to recommend the best collection type and optimization approach for a specific Go programming task.

Frequently Asked Questions about go-data-structures

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

FAQPage Schema

How do I optimize Go slices and maps for better performance and memory usage?▼

To optimize Go slices and maps, preallocate capacities to prevent reallocation overhead. This Skill provides requirements for correct collection usage, allocation strategies, and avoiding inefficient implementation patterns to reduce memory footprint.

What is the best way to choose between standard library containers and built-in collections in Go?▼

The best way to choose Go collection types is by evaluating memory behavior and performance tradeoffs. This Skill explains when to use standard library containers like heap, list, and ring versus built-in slices and maps for your specific task.

How do Go slices and maps handle memory allocation and copying?▼

Go slices and maps manage memory through dynamic allocation, where slices grow via reallocation and maps manage hash buckets. This Skill explains these internal behaviors, including allocation, copying, and concurrency considerations.

When should I use strings.Builder and bytes.Buffer for efficient string handling in Go?▼

Use strings.Builder and bytes.Buffer in Go when concatenating multiple strings or building byte sequences to avoid memory copies. This Skill provides standard library guidance for applying these builders for performance optimization.

How to avoid common Go collection anti-patterns and inefficient implementation patterns?▼

Avoid Go collection anti-patterns by applying cache-friendly structures and proper preallocation. This Skill provides requirements for correct collection usage and concurrency awareness to prevent inefficient implementation patterns.

Does this Skill provide guidance for concurrent access to Go maps and slices?▼

Yes, this Skill addresses concurrency awareness for Go data structures. It provides requirements for correct collection usage to ensure safe implementation patterns when concurrent access to maps and slices is needed.