codebase-design
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.
Install
npx skills add https://github.com/ConnorGriffin/skills/tree/main/skills/tools/codebase-design
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install connorgriffin-skills@llmmart
git clone https://github.com/ConnorGriffin/skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole connorgriffin/skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
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.
references/DESIGN-IT-TWICE.md's briefs assume a CONTEXT.md glossary (the
domain-modeling skill's format) alongside this vocabulary — load
domain-modeling too when one exists.
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).
Core — the application or domain code behind a seam. The core offers its interface to callers and declares the capability it requires from the outside; both interface decisions belong on the core side of the seam.
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.
- Hexagonal direction. Adapters depend toward the core; core code must not import infrastructure, framework, storage, clock, or protocol details. An adapter translates those external details and does not duplicate business rules. Composition selects adapters. Keep a one-adapter case local; a simple module may expose its handler directly.
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.
- The Core offers an Interface and declares the capability it requires at its Seam; Adapters depend toward that Core, and composition selects them.
- 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 references/DEEPENING.md: dependency categories, seam discipline, and replace-don't-layer testing.
- Exploring alternative interfaces — see
references/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.
/design-an-interfaceautomates this pattern — reach for it directly when you just want the parallel designs run, not the background here.
Files (skills)
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agents
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openai.yaml 216 B
interface: display_name: "Codebase Design" short_description: "Shared vocabulary for designing deep modules and clean seams" default_prompt: "Use $codebase-design to design or improve this module's interface."
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references
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DEEPENING.md 3 KB
# Deepening How to deepen a cluster of shallow modules safely, given its dependencies. Assumes the vocabulary in [../SKILL.md](../SKILL.md) — **module**, **interface**, **seam**, **adapter**. ## Dependency categories When assessing a candidate for deepening, classify its dependencies. The category determines how the deepened module is tested across its seam. ### 1. In-process Pure computation, in-memory state, no I/O. Always deepenable — merge the modules and test through the new interface directly. No adapter needed. ### 2. Local-substitutable Dependencies that have local test stand-ins (PGLite for Postgres, in-memory filesystem). Deepenable if the stand-in exists. The deepened module is tested with the stand-in running in the test suite. The seam is internal; no port at the module's external interface. ### 3. Remote but owned (Ports & Adapters) Your own services across a network boundary (microservices, internal APIs). Define a **port** (interface) at the seam. The deep module owns the logic; the transport is injected as an **adapter**. Tests use an in-memory adapter. Production uses an HTTP/gRPC/queue adapter. Recommendation shape: *"Define a port at the seam, implement an HTTP adapter for production and an in-memory adapter for testing, so the logic sits in one deep module even though it's deployed across a network."* ### 4. True external (Mock) Third-party services (Stripe, Twilio, etc.) you don't control. The deepened module takes the external dependency as an injected port; tests provide a mock adapter. ## Seam discipline - **One adapter means a hypothetical seam. Two adapters means a real one.** Don't introduce a port unless at least two adapters are justified (typically production + test). A single-adapter seam is just indirection. - **Internal seams vs external seams.** A deep module can have internal seams (private to its implementation, used by its own tests) as well as the external seam at its interface. Don't expose internal seams through the interface just because tests use them. - **Hexagonal direction.** The core offers its interface to callers and declares the capability it requires from the outside; locate both interface decisions on the core side of the seam. Adapters depend toward the core, while core code must not import infrastructure, framework, storage, clock, or protocol details. Adapters translate those external details and do not duplicate business rules; composition selects adapters. Keep a one-adapter case local, and let a simple module expose its handler directly. ## Testing strategy: replace, don't layer - Old unit tests on shallow modules become waste once tests at the deepened module's interface exist — delete them. - Write new tests at the deepened module's interface. The **interface is the test surface**. - Tests assert on observable outcomes through the interface, not internal state. - Tests should survive internal refactors — they describe behaviour, not implementation. If a test has to change when the implementation changes, it's testing past the interface. -
DESIGN-IT-TWICE.md 4.3 KB
# Design It Twice When the user wants to explore alternative interfaces for a chosen deepening candidate, use this parallel sub-agent pattern. Based on "Design It Twice" (Ousterhout) — your first idea is unlikely to be the best. Uses the vocabulary in [../SKILL.md](../SKILL.md) — **module**, **interface**, **seam**, **adapter**, **leverage**. Offerable in two places: standalone, or mid-interview as a grounding step — when `scope`'s interview mode (`skills/workflows/scope/references/interview.md`) hits an interface-shape frontier question, this can run right there, the same way that file's `ground it` escape hatch grounds a question before re-asking it. ## Process ### 1. Frame the problem space Before spawning sub-agents, write a user-facing explanation of the problem space for the chosen candidate: - The constraints any new interface would need to satisfy - The dependencies it would rely on, and which category they fall into (see [DEEPENING.md](DEEPENING.md)) - A rough illustrative code sketch to ground the constraints — not a proposal, just a way to make the constraints concrete Show this to the user, then immediately proceed to Step 2. The user reads and thinks while the sub-agents work in parallel. ### 2. Dispatch parallel design alternatives The coordinator supplies the selected adapter, explicit design-agent model, and explicit design-agent effort. Pass model and effort unchanged to every design worker. This procedure does not select an adapter, model, or effort, apply a routing table or headroom policy, or add defaults. Dispatch only through `skills/drivers/orchestrate/scripts/codex-worker.py` or `skills/drivers/orchestrate/scripts/claude-worker.py`, using the selected adapter's read-only surface. Never use the built-in Agent tool, Workflow tool, or background-agent machinery. Create one coordinator-owned `<session-scratch>/design-it-twice/` directory. For alternative `<n>`, write its complete independent technical brief to `design-<n>.prompt.md`; use `design-<n>.json` as that worker's state file; and capture its launcher stdout and stderr in `design-<n>.stdout` and `design-<n>.stderr`. The coordinator passes the contents of `design-<n>.prompt.md` as the adapter's positional prompt text. State files carry lifecycle metadata only; successful design output comes from each launcher's stdout `final_message`. Start alternatives 1, 2, and 3 through the selected adapter before waiting on any launcher, retaining each launcher PID and joining each individually. Each worker receives its separate technical brief and one different constraint: - Alternative 1: "Minimize the interface — aim for 1–3 entry points max. Maximise leverage per entry point." - Alternative 2: "Maximise flexibility — support many use cases and extension." - Alternative 3: "Optimise for the most common caller — make the default case trivial." - Alternative 4, when applicable: "Design around ports & adapters for cross-seam dependencies." Include both [../SKILL.md](../SKILL.md) vocabulary and CONTEXT.md vocabulary in every brief. Each worker must not modify, patch, or stash. Each worker outputs: 1. Interface (types, methods, params — plus invariants, ordering, error modes) 2. Usage example showing how callers use it 3. What the implementation hides behind the seam 4. Dependency strategy and adapters (see [DEEPENING.md](DEEPENING.md)) 5. Trade-offs — where leverage is high, where it's thin On one nonzero completion, use the selected adapter's `resume` surface once against that alternative's same state file. If it still does not produce a successful `final_message`, mark that alternative unavailable. With two or more successful alternatives, present and compare the available designs, naming every unavailable alternative. With zero or one successful alternative, report that the design-it-twice pass did not produce enough alternatives and return to the interface-shape frontier; do not recommend a design. ### 3. Present and compare Present designs sequentially so the user can absorb each one, then compare them in prose. Contrast by **depth** (leverage at the interface), **locality** (where change concentrates), and **seam placement**. After comparing, give your own recommendation: which design you think is strongest and why. If elements from different designs would combine well, propose a hybrid. Be opinionated — the user wants a strong read, not a menu.
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SKILL.md 7.5 KB
--- 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. --- # 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. `references/DESIGN-IT-TWICE.md`'s briefs assume a `CONTEXT.md` glossary (the `domain-modeling` skill's format) alongside this vocabulary — load `domain-modeling` too when one exists. ## 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). **Core** — the application or domain code behind a seam. The core offers its interface to callers and declares the capability it requires from the outside; both interface decisions belong on the core side of the seam. **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. - **Hexagonal direction.** Adapters depend toward the core; core code must not import infrastructure, framework, storage, clock, or protocol details. An adapter translates those external details and does not duplicate business rules. Composition selects adapters. Keep a one-adapter case local; a simple module may expose its handler directly. ## 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**. - The **Core** offers an **Interface** and declares the capability it requires at its **Seam**; **Adapters** depend toward that **Core**, and composition selects them. - **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. - **"Boundary"**: overloaded with DDD's bounded context. Say **seam** or **interface**. ## Going deeper - **Deepening a cluster given its dependencies** — see [references/DEEPENING.md](references/DEEPENING.md): dependency categories, seam discipline, and replace-don't-layer testing. - **Exploring alternative interfaces** — see [references/DESIGN-IT-TWICE.md](references/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. `/design-an-interface` automates this pattern — reach for it directly when you just want the parallel designs run, not the background here.
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