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m12-lifecycle

Explain Rust resource lifecycle design covering ownership, cleanup, and scope decisions.

Updated Aug 23, 2026
Search Tags:#rust#lifecycle#lifecycles#lazy#resource-management#drop#oncecell
One-click install
npx skills add https://github.com/mberetvas/dbt-migrator --skill m12-lifecycle-mberetvas
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: m12-lifecycle
Source: https://github.com/mberetvas/dbt-migrator/tree/main/.github/skills/m12-lifecycle
Command: npx skills add https://github.com/mberetvas/dbt-migrator --skill m12-lifecycle-mberetvas

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Resource lifecycle design is critical for ensuring reliable, leak-free software. It helps teams reason about ownership, cleanup, scopes, and error handling when managing resources like connections, files, and transactions.

Core Features & Use Cases

  • Catalogs lifecycle patterns (RAII with Drop, lazy init with OnceLock/Lazy, pooling, guard patterns, and scope-based design).
  • Provides decision guidance on scope, ownership, and cleanup strategies for deterministic behavior across modules.
  • Includes practical patterns, anti-patterns, and a quick-reference checklist to apply early in design discussions.

Quick Start

Outline ownership, cleanup, and lifecycle strategy for a new component before implementation.

Frequently Asked Questions about m12-lifecycle

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

FAQPage Schema
How do I design robust resource lifecycles in Rust for database connections and file handles?▼

Use Drop for deterministic cleanup of database connections and file handles by defining clear lifecycle boundaries and ownership scopes before implementation to ensure leak-free resource management.

What's the best way to implement lazy initialization for resources in Rust?▼

Implement lazy initialization in Rust using OnceLock or Lazy patterns to defer resource creation until first access, ensuring safe and efficient lifecycle management across modules without upfront allocation overhead.

When should I use guard patterns versus pooling for Rust resource management?▼

Use guard patterns for scope-bound deterministic cleanup and pooling for reusable expensive resources; the decision depends on whether your resource lifecycle requires strict scope boundaries or shared access across components.

How does Drop work for managing Rust resource cleanup across error scenarios?▼

Drop ensures deterministic resource cleanup in Rust by automatically executing cleanup logic when values go out of scope, safely handling connections and transactions even when errors propagate through modules.

What are common anti-patterns when designing Rust lifecycles for transactions?▼

Common Rust lifecycle anti-patterns include unclear ownership boundaries, missing Drop implementations for deterministic cleanup, and improper scope decisions that cause resource leaks or premature deallocation during error handling.

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