What you get

Achieve more precise code delivery, clearer domain language, and more robust architecture through structured AI interactions.

Improve Code Quality and Architecture with AI

Added 2026-07-26

A collection of AI agent skills designed for real-world software engineering to improve code quality, architecture, and productivity.

VerifiedEngineeringProduct & Project
View on GitHub ↗
Improve Code Quality and Architecture with AI preview

Developed by Matt Pocock, this collection addresses common pain points in AI-assisted development, such as misalignment, code verbosity, and architectural decay. It provides structured workflows for requirement alignment, test-driven development, and domain modeling to help developers collaborate effectively with AI agents. Whether installed via skills.sh for customization or used as a Claude Code plugin, these skills bring professional-grade rigor and control to your engineering process.

Related skills

Qiaomu Website Development AutomationAutomates the end-to-end website deployment workflow, including GitHub pushes, Vercel deployment, and Cloudflare DNS configuration.Engineering · Product & Project15 installsDevil's Advocate: AI Critical Thinking AssistantTransform your AI into a ruthless critic to stress-test your ideas, code, and decisions by uncovering hidden flaws.Content & Knowledge · Product & Project +176 installsBuild and Debug n8n Workflows with AIA collection of skills for AI coding agents to build, debug, and optimize n8n workflows.Engineering · Product & Project371 installsQiaomu Goal Meta-Skill: Turn Vague Requests into Executable Codex CommandsTransform vague or complex tasks into professional /goal commands with verification, constraints, boundaries, and iteration policies for precise AI agent execution.Product & Project · Engineering +1805 installs