Enforces pragmatic coding standards for AI agents producing maintainable code.
npx skills add https://github.com/TheGreatL/KanbanBoard --skill clean-code-thegreatl
Please help me install this Agent Skill. Skill: clean-code Source: https://github.com/TheGreatL/KanbanBoard/tree/main/.agents/skills/clean-code Command: npx skills add https://github.com/TheGreatL/KanbanBoard --skill clean-code-thegreatl
This Skill enforces pragmatic coding standards to ensure code is concise, direct, and avoids over-engineering, leading to more maintainable and understandable software.
Apply the clean-code skill to refactor the provided user service implementation.
High-intent search queries and answers about installing and using this skill.
To enforce clean code standards with AI agents, apply pragmatic coding rules emphasizing conciseness, directness, and avoiding over-engineering. This ensures generated code remains maintainable, follows SOLID principles, and avoids unnecessary complexity.
Best practices for refactoring involve applying clear naming conventions and optimizing function design. This means creating small, focused functions with minimal arguments, no side effects, and intent-revealing names for variables and constants.
Applying SOLID, DRY, and KISS principles involves streamlining code structure through guard clauses, flat nesting, and composition. This pragmatic approach keeps code concise, promotes single responsibility, and eliminates redundant logic.
Pre-edit impact analysis is necessary before modifying code files to evaluate dependencies and potential effects. This mandatory step prevents unintended side effects, ensures code correctness, and maintains structural integrity.
To verify code correctness after a refactoring task, execute mandatory validation scripts and perform post-task self-checks. This confirms goal completion, ensures error-free execution, and validates quality standards.
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