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Codebase Architecture Improver
This skill transforms sprawling, "organically grown" repositories into logically structured architectures without the high risk of a full rewrite.
$12.99
Codebase Architecture Improver
Example session with this skill installed
Our Express/TypeScript backend is about 40k lines. There is a shared utils/ folder that everything imports and a 3,000-line OrderService class. I've pasted the madge output below: it shows cycles between orders, billing and notifications.
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- Compiled the codebase architecture improver
Architecture assessment: the orders, billing and notifications cycle and the OrderService god object share one cause, and can be fixed in five safe steps.
Dependency map (from your madge output)
orders -> billing -> notifications -> orders
\ | |
+----> utils/ <--------+
utils/ is imported by every module, so it acts as a hidden shared layer.
Boundary analysis
| Module | Problem |
|---|---|
| orders | OrderService mixes pricing, persistence, billing calls and emails |
| billing | Imports order types from orders directly |
| notifications | Reads order details by calling back into orders |
| utils | Holds domain logic next to generic helpers |
Safe refactoring sequence
Move shared types (Order, Invoice) into a contracts/ module with no imports. This breaks the type-level cycles.
2. Split utils/ into generic helpers and domain code, and move domain code to its owning module.
3. Replace callbacks with events: orders emits OrderPlaced; billing and notifications subscribe.
4.
Extract from OrderService one responsibility at a time: pricing, then persistence, then side effects. Keep the old methods delegating until callers move.
5. Add a lint rule (dependency-cruiser or madge in CI) that fails on new cycles.
Each step can ship on its own and keeps behaviour unchanged.
Next steps
- Start with step 1 and rerun madge
- Add characterisation tests around OrderService before step 4
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About this skill
What it does
This skill transforms sprawling, "organically grown" repositories into logically structured architectures without the high risk of a full rewrite. It identifies the root causes of technical debt—such as circular dependencies, layering violations, and god objects—and provides a systematic, step-by-step roadmap to fix them.
Why use this skill
Unlike generic AI prompting, the Codebase Architect uses a specific diagnostic methodology: it triages pain points, maps actual dependency directions, and identifies "seams" for decoupled testing. It doesn't just suggest clean code; it sequences refactoring steps to ensure the codebase remains functional throughout the transition. It is specifically designed to help developers who are inheriting legacy systems or scaling a startup MVP into a maintainable enterprise application.
Supported Tools & Frameworks
The skill is language-agnostic but excels with modular frameworks in TypeScript/JavaScript, Python, Go, and Java. It produces outputs tailored to your workflow, whether you need a high-level executive audit, a technical refactoring sequence, or team-wide architectural conventions.
The Result
You receive a concrete dependency map, a list of boundary violations, and a prioritized sequence of "micro-updates" that incrementally improve the system's modularity and reduce change-cost.
- Cannot automatically run heavy refactoring scripts.
- Limited effectiveness on codebases under 100 files.
- Requires manual verification for complex logic changes.
How to use
- 1
Connect your agent to the Agensi MCP
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- 2
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- 3
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