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name: code_standards description: Project-specific coding standards and optimization rules for the Portfolio codebase.

Code Standards

This skill defines the technical requirements and best practices for the Devon Nathan Portfolio project. Follow these rules for all code modifications and reviews.

1. Type Safety & Categories

• Mandatory Typing: Every variable declaration must include an explicit type. Avoid any.
• Enums for Display: Use String Enums for categories where the key and value are identical display-ready strings (e.g., JavaScript = "JavaScript"). This ensures a single source of truth for both logic and UI titles.
• Single Source of Truth: Derive arrays for looping using Object.values(EnumName) rather than hardcoding.

2. Performance & Optimization

• Loop Minimization: Avoid multiple .filter() calls on the same dataset.
• Preprocessing: Group or map data into appropriate structures (e.g., Record<Enum, Item[]>) before the return statement in components using .reduce().
• Dry Sections: Render repeating visual sections (like skill categories) using a single .map() over the Enum values.
• Unused Imports: Always remove unused imports and dead code before finalizing a file.
• Centralized Constants: Shared configuration objects (like IDENTITIES or TITLES) must be defined in a single location within the data/ directory and imported where needed. Never duplicate shared data across multiple components.

3. Visual & Aesthetic Consistency

• Motion Orchestration: Ensure AnimatePresence and layout props are used correctly to prevent layout shifts.
• Theme Awareness: Always use theme-aware color variables (e.g., text-primary, text-text-muted) rather than hardcoded colors.

4. Audit Findings

• Responsive Grids: Always check grid layouts on small screens to ensure md: and lg: breakpoints are balanced.
• Service Categories: Supported categories: Infrastructure, Web, Blockchain, AI.
• Skill Categories: Supported categories: JavaScript, Python, Databases, Blockchain.
• Project Categories: Supported categories: Blockchain, AI, Full Stack.