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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: design
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Nov 1, 2026.
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- No tools found
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/codebase-design
What's inside
- Skill 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.
- License
- MIT
- Instructions
- 140 lines in SKILL.md · view on GitHub
Files (3)
- SKILL.md
- deepening.md · resources/
- design-it-twice.md · resources/
SKILL.md (first lines)
<!-- Adapted from mattpocock/skills codebase-design at 6654f6b60cd9d5be8b54c6fafe44346dabeb3b76 (MIT). -->
# 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:
1. **Accept dependencies, don't create them.**
```typescript
// Testable
function processOrder(order, paymentGateway) {}
// Hard to test
function processOrder(order) {
const gateway = new StripeGateway();
}
```
2. **Return results, don't produce side effects.**
```typescript
// 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.
## 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**.From bodnarbalazs/dydo, MIT.
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Signals
- Stars
- 6
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 10, 2026 (23 days ago)
- Last release
- Oct 19, 2026 (14 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/bodnarbalazs/dydo
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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codebase-design skill. Agent Mart. https://agentmart.dev/skills/bodnarbalazs-codebase-design (last updated 2026-10-24)