ask-matt
Ask which skill or flow fits your situation. A router over the skills in this repo.
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.
Claude Code
$ npx -y skills add mattpocock/skills --skill codebase-design --agent claude-code
Codex
$ npx skills add mattpocock/skills --skill codebase-design -a codex -y
Cursor
$ npx skills add mattpocock/skills --skill codebase-design -a cursor -y
Gemini CLI
$ npx skills add mattpocock/skills --skill codebase-design -a gemini-cli -y
GitHub Copilot
$ npx skills add mattpocock/skills --skill codebase-design -a github-copilot -y
OpenCode
$ npx skills add mattpocock/skills --skill codebase-design -a opencode -y
Windsurf
$ npx skills add mattpocock/skills --skill codebase-design -a windsurf -y
name: 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.
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.
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 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:
Good interfaces make testing natural:
1. **Accept dependencies, don't create them.**
// Testable
function processOrder(order, paymentGateway) {}
// Hard to test
function processOrder(order) {
const gateway = new StripeGateway();
}2. **Return results, don't produce side effects.**
// Testable
function calculateDiscount(cart): Discount {}
// Hard to test
function applyDiscount(cart): void {
cart.total -= discount;
}3. **Small surface area.** Fewer methods = fewer tests needed. Fewer params = simpler test setup.
My agent skills that I use every day to do real engineering - not vibe coding. Developing real applications is hard. Approaches like GSD, BMAD, and Spec-Kit try to help by owning the process.
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