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This skill provides a comprehensive library of semantic tags and annotation formats designed to bridge the gap between human intent and AI understanding. By implementing standardized markers for technical debt, security risks, performance bottlenecks, and accessibility gaps, it enables Claude to perform more accurate code analysis, provide better refactoring suggestions, and maintain a deeper understanding of project constraints. These patterns work across multiple languages including TypeScript, Python, Go, and Rust, ensuring that critical architectural decisions and system dependencies are visible to both human collaborators and AI agents.
