zig-best-practices

Provide Zig patterns for type-first development with tagged unions and explicit error sets.

3|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/satibot/satibot --skill zig-best-practices-satibot
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zig-best-practices
Source: https://github.com/satibot/satibot/tree/main/.agents/skills/zig-best-practices
Command: npx skills add https://github.com/satibot/satibot --skill zig-best-practices-satibot

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides essential Zig patterns for robust, type-safe software development, focusing on making illegal states unrepresentable and ensuring memory safety.

Core Features & Use Cases

  • Type-First Development: Emphasizes defining data structures and function signatures before implementation.
  • Error Handling: Demonstrates explicit error sets and errdefer for reliable resource management.
  • Memory Management: Guides on explicit allocator passing and the use of GPA/Arena allocators.
  • Use Case: When developing a new Zig module, use this Skill to ensure your code adheres to best practices for type safety, error handling, and memory management, preventing common bugs early in the development cycle.

Quick Start

Use the zig-best-practices skill to understand how to define a tagged union for request states.

Frequently Asked Questions about zig-best-practices

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

FAQPage Schema
What is the best way to handle error handling and resource cleanup in Zig?

The best way to handle error handling in Zig is by using explicit error sets combined with `errdefer` to guarantee reliable resource cleanup when functions exit unexpectedly. This approach prevents memory leaks and ensures robust module structure.

How do I structure memory management in Zig using allocators?

Structure memory management in Zig by explicitly passing allocators to functions and utilizing General Purpose Allocator (GPA) or Arena allocators. This explicit allocation strategy ensures safe memory handling and prevents common allocation bugs.

How does comptime validation work for type safety in Zig?

Comptime validation in Zig works by executing type checks and logic during compilation, ensuring illegal states are unrepresentable before runtime. This type-first development pattern catches potential bugs early in the development cycle.

When do I need to use tagged unions for type-first development in Zig?

Use tagged unions in Zig when defining data structures for type-first development to explicitly represent distinct request states. This pattern ensures your module makes illegal states unrepresentable and enforces strict type safety.

Does this Zig best practices approach require specific dependencies?

No, applying these Zig best practices requires no external dependencies, focusing entirely on standard language features like tagged unions, explicit error sets, and comptime validation to ensure robust and safe code.