by vladikk · Claude Skill · ★ 94
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Modularity Skills TL;DR: A Claude Code plugin for designing and analyzing modular software systems using the Balanced Coupling model. There's no shortage of AI tools that provide code-level feedback: best practices, edge cases, potential bugs. That's useful, but it's not where the costly mistakes hide. In the AI era, code is generated faster than ever, and so technical debt accumulates faster too. Any architectural inefficiency, any misdrawn boundary, any unmanaged coupling will grow into a big ball of mud at a pace that wasn't possible before. This plugin operates at the architectural level. It includes two skills: analyzes an existing codebase for coupling imbalances: what knowledge is properly encapsulated, what's leaking across component boundaries, and where cascading changes are waiting to happen. It produces actionable recommendations for improving modularity. goes the other direction, designing modular architectures from functional requirements and producing module design docs with integration contracts, test specifications, and a full coupling assessment.
| Stars | 94 |
| Forks | 3 |
| Language | HTML |
| Category | Claude Skill |
| Quality Score | 47.432/100 |
| Last Updated | 2026-04-04 |
| Created | 2026-03-28 |
| Platforms | claude-code |
| Est. Tokens | ~6k |
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modularity is Claude Code plugin for designing modular systems from functional requirements and reviewing existing codebases for modularity problems with actionable improvement recommendations. Based on the Balance. It is categorized as a Claude Skill with 94 GitHub stars.
modularity is primarily written in HTML. It covers topics such as balanced-coupling, claude-code, claude-code-plugin.
You can find installation instructions and usage details in the modularity GitHub repository at github.com/vladikk/modularity. The project has 94 stars and 3 forks, indicating an active community.
The top alternatives to modularity on Agent Skills Hub include claude-elixir-phoenix, skills, smart-ralph. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.