Design deep modules with clean seams for refactoring and testability.
npx skills add https://github.com/tonomb/personal-pnl --skill codebase-design-tonomb
Please help me install this Agent Skill. Skill: codebase-design Source: https://github.com/tonomb/personal-pnl/tree/main/.agents/skills/codebase-design Command: npx skills add https://github.com/tonomb/personal-pnl --skill codebase-design-tonomb
This skill addresses the common issue of shallow, tightly coupled codebases that are difficult to test, refactor, or navigate, by providing a shared architectural vocabulary and design methodology.
Use the codebase-design skill to analyze the current module structure and propose a deeper interface for the payment processing logic.
High-intent search queries and answers about installing and using this skill.
To improve codebase architecture, you identify shallow modules by analyzing structural leverage and locality, then systematically deepening module interfaces to increase testability and reduce coupling across complex codebases.
The best way to place seams for modular code is applying a standardized architectural framework that isolates dependencies, ensuring high leverage and clear boundaries for both testability and refactoring improvements.
The Design It Twice pattern works by executing a parallel sub-agent pattern to explore and compare multiple interface designs simultaneously before committing to an implementation, ensuring optimal modularity.
Yes, you can use this architectural framework for legacy code refactoring, as it provides a shared vocabulary and systematic methodology to deepen modules and improve maintainability across complex existing codebases.
You should avoid deep module refactoring when your codebase lacks complex interface dependencies, as the architectural framework targets tightly coupled systems requiring structural leverage and seam identification improvements.
superdesigndevGenerate interactive architecture maps and PR diff overlays from import graphs.
willdadyDesign deep modules and identify seams for testable codebases.
Sharper-FlowStandardize software module architecture with deep-module principles and seam-based dependency management.
TakfesAnalyze Python code for maintainability issues and refactoring opportunities.
