AI Development Guide & Quality Guardrails

About

The AI Development Guide skill transforms Claude into a senior technical architect by providing a rigorous framework for decision-making and quality assurance. It automates the detection of common code smells, enforces the 'Rule of Three' for refactoring, and mandates a three-stage impact analysis before any code modification. By integrating fail-fast principles and a multi-phase quality gate—from static analysis to build verification—it ensures that every contribution minimizes technical debt and maintains architectural integrity.

Key Features

• Mandatory 3-stage impact analysis (Discovery, Understanding, Identification)
• Standardized 'Rule of Three' logic for managing code duplication
• Structured '5 Whys' root cause analysis and debugging techniques
• Automatic detection of technical anti-patterns and code quality red flags
• Multi-phase quality assurance workflow including static analysis and test gates
• 1 GitHub stars

Use Cases

• Performing thorough impact assessments before implementing complex feature changes in large codebases.
• Refactoring legacy systems by identifying and eliminating technical debt and anti-patterns.
• Establishing a standardized, language-agnostic quality gate for CI/CD and local development workflows.