codebase-design
Shared vocabulary for designing deep modules
Install / Use
npx skills add mattpocock/skills --skill codebase-designInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of codebase-design
codebase-design scores 90/100 on our quality scale, 371st of 1,995 Development & Engineering skills we index (top 19%).
Its SKILL.md is 5.9 KB long, well organised into 8 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.
With 268,790 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 2 days ago, so codebase-design is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
codebase-design compared with similar skills
All 4 of these similar skills score higher than codebase-design; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| codebase-design (this skill)by mattpocock | 90 | 268.8k | 2d ago | SKILL.md |
| ai-job-searchby MadsLorentzen | 100 | 44.0k | 5d ago | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | today | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 3d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 3d ago | SKILL.md |
Frequently asked questions
- How do I install codebase-design?
- Run
npx skills add mattpocock/skills --skill codebase-design. The install tabs above show the steps for each supported agent. - Which AI agents does codebase-design work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is codebase-design safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is codebase-design still maintained?
- The repository was last updated 2 days ago, so codebase-design is actively maintained.
Skill content
View source on GitHubname: codebase-design description: Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
Codebase Design
Design deep modules: a lot of behaviour behind a small interface, placed at a clean seam, testable through that interface. Use this language and these principles wherever code is being designed or restructured. The aim is leverage for callers, locality for maintainers, and testability for everyone.
Glossary
Use these terms exactly: don't substitute "component," "service," "API," or "boundary." Consistent language is the whole point.
Module: anything with an interface and an implementation. Deliberately scale-agnostic: a function, class, package, or tier-spanning slice. Avoid: unit, component, service.
Interface: everything a caller must know to use the module correctly: the type signature, but also invariants, ordering constraints, error modes, required configuration, and performance characteristics. Avoid: API, signature (too narrow, they refer only to the type-level surface).
Implementation: what's inside a module, its body of code. Distinct from Adapter: a thing can be a small adapter with a large implementation (a Postgres repo) or a large adapter with a small implementation (an in-memory fake). Reach for "adapter" when the seam is the topic; "implementation" otherwise.
Depth: leverage at the interface. The amount of behaviour a caller (or test) can exercise per unit of interface they have to learn. A module is deep when a large amount of behaviour sits behind a small interface, shallow when the interface is nearly as complex as the implementation.
Seam (Michael Feathers): a place where you can alter behaviour without editing in that place; the location at which a module's interface lives. Where to put the seam is its own design decision, distinct from what goes behind it. Avoid: boundary (overloaded with DDD's bounded context).
Adapter: a concrete thing that satisfies an interface at a seam. Describes role (what slot it fills), not substance (what's inside).
Leverage: what callers get from depth. More capability per unit of interface they learn. One implementation pays back across N call sites and M tests.
Locality: what maintainers get from depth. Change, bugs, knowledge, and verification concentrate in one place rather than spreading across callers. Fix once, fixed everywhere.
Deep vs shallow
Deep module = small interface + lots of implementation:
┌─────────────────────┐
│ Small Interface │ ← Few methods, simple params
├─────────────────────┤
│ │
│ Deep Implementation│ ← Complex logic hidden
│ │
└─────────────────────┘
Shallow module = large interface + little implementation (avoid):
┌─────────────────────────────────┐
│ Large Interface │ ← Many methods, complex params
├─────────────────────────────────┤
│ Thin Implementation │ ← Just passes through
└─────────────────────────────────┘
When designing an interface, ask:
- Can I reduce the number of methods?
- Can I simplify the parameters?
- Can I hide more complexity inside?
Principles
- Depth is a property of the interface, not the implementation. A deep module can be internally composed of small, mockable, swappable parts; they just aren't part of the interface. A module can have internal seams (private to its implementation, used by its own tests) as well as the external seam at its interface.
- The deletion test. Imagine deleting the module. If complexity vanishes, it was a pass-through. If complexity reappears across N callers, it was earning its keep.
- The interface is the test surface. Callers and tests cross the same seam. If you want to test past the interface, the module is probably the wrong shape.
- One adapter means a hypothetical seam. Two adapters means a real one. Don't introduce a seam unless something actually varies across it.
Designing for testability
Good interfaces make testing natural:
-
Accept dependencies, don't create them.
// Testable function processOrder(order, paymentGateway) {} // Hard to test function processOrder(order) { const gateway = new StripeGateway(); } -
Return results, don't produce side effects.
// Testable function calculateDiscount(cart): Discount {} // Hard to test function applyDiscount(cart): void { cart.total -= discount; } -
Small surface area. Fewer methods = fewer tests needed. Fewer params = simpler test setup.
Relationships
- A Module has exactly one Interface (the surface it presents to callers and tests).
- Depth is a property of a Module, measured against its Interface.
- A Seam is where a Module's Interface lives.
- An Adapter sits at a Seam and satisfies the Interface.
- Depth produces Leverage for callers and Locality for maintainers.
Rejected framings
- Depth as ratio of implementation-lines to interface-lines (Ousterhout): rewards padding the implementation. We use depth-as-leverage instead.
- "Interface" as the TypeScript
interfacekeyword or a class's public methods: too narrow: interface here includes every fact a caller must know. - "Boundary": overloaded with DDD's bounded context. Say seam or interface.
Going deeper
- Deepening a cluster given its dependencies, see DEEPENING.md: dependency categories, seam discipline, and replace-don't-layer testing.
- Exploring alternative interfaces, see DESIGN-IT-TWICE.md: spin up parallel sub-agents to design the interface several radically different ways, then compare on depth, locality, and seam placement.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
