codebase-design
Design or review module interfaces, ownership, and test seams using deep-module principles.
Skill by maxatwork
Install
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.
npx agentmarket install skill/maxatwork-codebase-design
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: design, testing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
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
- Design or review module interfaces, ownership, and test seams using deep-module principles. Use when the structure of a module needs a decision.
- License
- MIT
- Instructions
- 111 lines in SKILL.md · view on GitHub
Files (5)
- DEEPENING.md
- DESIGN-IT-TWICE.md
- LICENSE
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# 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 definitions to distinguish responsibilities. Preserve precise domain and framework terms such as component, service, API, or boundary when they name the actual construct.
**Module**: anything with an interface and an implementation. Deliberately scale-agnostic: a function, class, package, or tier-spanning slice.
**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. An API or signature may describe part of this interface.
**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. Specify whether a boundary means this variation point or a domain, trust, or runtime boundary.
**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.
- **Justify a seam by the responsibility or variation it isolates.** Multiple real adapters are useful evidence; one adapter can still isolate a policy or external dependency. Avoid interfaces that only promise hypothetical flexibility.
## 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**.
- 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 `interface` keyword or a class's public methods**: too narrow: interface here includes every fact a caller must know.
- **An unnamed boundary**: state what it separates, such as trust, ownership, deployment, or replaceable behavior.
## Going deeper
- **Deepening a cluster given its dependencies**, see [DEEPENING.md](DEEPENING.md): dependency categories, seam discipline, and replace-don't-layer testing.
- **Exploring alternative interfaces**, see [DESIGN-IT-TWICE.md](DESIGN-IT-TWICE.md): compare distinct interfaces on depth, locality, and seam placement, with optional independent designers when useful.From maxatwork/skills, MIT.
More from maxatwork/skills
- 0.589score
exploring-repositories
maxatwork
Inspect or compare an external repository using a durable local clone.
SkillAFreshness: A★ 1Claude Code +9 - 0.589score
impeccable
maxatwork
Design or improve frontend UX and visual quality.
SkillAFreshness: A★ 1Claude Code +9 - 0.584score
model-selection
maxatwork
Choose the cheapest sufficient model and effort for coding, reasoning, taste, and throughput needs.
SkillAFreshness: A★ 1Claude Code +9 - 0.584score
penpot-canvas
maxatwork
Create, open, edit, inspect, and preview designs in a user-configured Penpot instance using Codex's built-in browser and the Penpot MCP server.
SkillAFreshness: A★ 1Claude Code +9 - 0.581score
forgejo-cli
maxatwork
Use when need to work with Forgejo repository tasks, including pull requests, issues, releases, and Actions.
SkillAFreshness: A★ 1Claude Code +9 - 0.562score
find-skills
maxatwork
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express…
SkillAFreshness: A★ 1Claude Code +9 - 0.562score
grilling
maxatwork
Grill the user relentlessly about a plan, decision, or idea.
SkillAFreshness: A★ 1Claude Code +9 - 0.552score
create-verification-skill
maxatwork
Use ONLY when the user asks to create a repository verification skill.
SkillBFreshness: B★ 1Claude Code +9 - 0.549score
fallow
maxatwork
Analyze JavaScript and TypeScript with Fallow for unused code, duplication, complexity, architecture, styling, or changed-code risk.
SkillBFreshness: B★ 1Claude Code +9 - 0.549score
diagnosing-bugs
maxatwork
Diagnose bugs or performance regressions whose cause is unclear using reproduction, targeted evidence, and hypothesis testing.
SkillBFreshness: B★ 1Claude Code +9 - 0.547score
domain-modeling
maxatwork
Change or clarify domain concepts, terminology, ownership, and lifecycles.
SkillBFreshness: B★ 1Claude Code +9 - 0.547score
ponytail-audit
maxatwork
Audit a whole codebase for unnecessary complexity when the user asks for over-engineering or bloat analysis.
SkillBFreshness: B★ 1Claude Code +9
Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 12, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/maxatwork/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from maxatwork
- 0.589score
exploring-repositories
maxatwork
Inspect or compare an external repository using a durable local clone.
SkillAFreshness: A★ 1Claude Code +9 - 0.589score
impeccable
maxatwork
Design or improve frontend UX and visual quality.
SkillAFreshness: A★ 1Claude Code +9 - 0.584score
penpot-canvas
maxatwork
Create, open, edit, inspect, and preview designs in a user-configured Penpot instance using Codex's built-in browser and the Penpot MCP server.
SkillAFreshness: A★ 1Claude Code +9 - 0.584score
model-selection
maxatwork
Choose the cheapest sufficient model and effort for coding, reasoning, taste, and throughput needs.
SkillAFreshness: A★ 1Claude Code +9 - 0.581score
forgejo-cli
maxatwork
Use when need to work with Forgejo repository tasks, including pull requests, issues, releases, and Actions.
SkillAFreshness: A★ 1Claude Code +9 - 0.562score
find-skills
maxatwork
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express…
SkillAFreshness: A★ 1Claude Code +9
Cite this page
codebase-design skill. Agent Mart. https://agentmart.dev/skills/maxatwork-codebase-design (last updated 2026-10-24)