clean-code-ch13-concurrency

Detect concurrency defects and synchronization issues in multi-threaded code.

4|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/hatlesswizard/clean-code-skills --skill clean-code-ch13-concurrency
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clean-code-ch13-concurrency
Source: https://github.com/hatlesswizard/clean-code-skills/tree/main/ch13-concurrency
Command: npx skills add https://github.com/hatlesswizard/clean-code-skills --skill clean-code-ch13-concurrency

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Concurrency code quality and review support to identify SRP violations, data-race risks, and pattern misuses in multi-threaded code.

Core Features & Use Cases

  • Detect shared mutable state without proper synchronization and suggest corrective patterns.
  • Enforce single-responsibility separation for concurrency-related code to isolate threading concerns from business logic.
  • Identify overly broad synchronized sections and recommend fine-grained locking strategies.
  • Recognize common concurrency patterns (Producer-Consumer, Readers-Writers, Dining Philosophers) and highlight edge cases like starvation and deadlock.
  • Provide actionable refactors and best-practice guidelines to improve testability and maintainability of concurrent code.

Quick Start

Run the concurrency checker on your codebase to identify SRP violations and synchronization issues in multithreaded components.

Frequently Asked Questions about clean-code-ch13-concurrency

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

FAQPage Schema
How do I detect shared mutable state and concurrency defects in multi-threaded code?

To detect shared mutable state and concurrency defects, run a concurrency checker that identifies missing synchronization, data-race risks, and SRP violations across multi-threaded or asynchronous codebases. It flags unsafe shared state access and recommends corrective patterns.

What is the best way to refactor overly broad synchronized sections in my codebase?

The best way to refactor overly broad synchronized sections is to apply fine-grained locking strategies. A concurrency checker identifies these broad sections, enforces single-responsibility separation, and recommends refactoring strategies to isolate threading concerns.

Does this concurrency checker work with asynchronous code in Java, Go, C#, and Python?

Yes, the concurrency checker works with asynchronous and multi-threaded codebases across languages such as Java, Go, C#, and Python. It analyzes synchronization discipline, detects common concurrency patterns, and identifies SRP violations regardless of the specific language.

Why does my concurrent code keep hitting deadlock or starvation in Producer-Consumer patterns?

Your concurrent code hits deadlock or starvation due to pattern misuses or edge cases in Producer-Consumer, Readers-Writers, or Dining Philosophers implementations. A concurrency checker recognizes these patterns, highlights edge cases, and suggests actionable refactors.