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Greenfield architecture design: map functionality flows, draw components, design APIs, classify dependencies, plan observability. For multi-component, API, schema, auth, or integration-heavy work. For retrofitting existing code, use codebase-hygiene instead.
Greenfield architecture design: map functionality flows, draw components, design APIs, classify dependencies, plan observability. For multi-component, API, schema, auth, or integration-heavy work. For retrofitting existing code, use codebase-hygiene instead.
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Design systems from scratch: map flows, then draw components. For retrofitting existing code, use codebase-hygiene instead.
| Request type | Use |
|---|---|
| New system/major feature (greenfield) | This skill |
| Existing code with shallow modules | codebase-hygiene |
| Multi-component integration | This skill |
| Single-component refactor | planning + building |
Map every user flow end-to-end before designing any component:
Flow: [name]
1. [step] → [what the system does] → [what the user sees]
2. [step] → [what the system does] → [what the user sees]
Error paths:
- [error] → [system response] → [user sees]
Every flow must have its error paths mapped. Unmapped error paths become unmapped components.
Translate flows into components:
For each component:
Before finalizing any component boundary, apply the Deletion Test and Two-Adapter Rule as defined in cc10x:codebase-design. A component that fails the deletion test (complexity vanishes if deleted) or fails the two-adapter rule (it is a port with only one adapter — an ordinary caller or test exercising the interface is not an adapter) is not a real boundary yet — fold it into its caller or defer the split until a second concrete need appears.
Box diagram: your system + external systems it talks to. One paragraph per external system: what it provides, what you depend on.
Internal boxes: web app, API, database, queue, worker. Arrows show data flow. One paragraph per container: technology choice, responsibility.
Inside each container: the modules/classes. Arrows show call relationships. This is what the builder will implement.
Use LSP to understand existing architecture before designing new:
Design APIs from the flow, not from the data model:
// Good: functionality-aligned
POST /orders/{id}/cancel → { status, cancelledAt }
// Bad: data-model-aligned
PUT /orders/{id} → { ..., status: "cancelled", ... }
For each integration:
| Field | Value |
|---|---|
| System | [name] |
| Protocol | [HTTP/gRPC/CLI/message queue] |
| Direction | [we call them / they call us / both] |
| Contract | [request/response schema or event schema] |
| Failure mode | [what happens when it's down] |
| Retry policy | [retries, backoff, circuit breaker] |
| Class | Meaning | Example |
|---|---|---|
| Owned | We control the code and deploy it | Internal service |
| Wrapped | We depend on it but wrap it in our interface | Third-party SDK behind adapter |
| Consumed | We depend on it directly, no wrapper | External API called directly |
| Infra | Platform-level dependency | Database, message queue |
Wrapped dependencies can be swapped. Consumed dependencies cannot. Track which is which — it determines your coupling risk.
For each component:
The deep-module vocabulary (module, interface, depth, seam, adapter, leverage, locality, deletion test, two-adapter rule) is defined in cc10x:codebase-design. Use those terms exactly.
Three extra terms specific to greenfield architecture (not in codebase-design):
Before finalizing any component boundary, apply the Deletion Test and Two-Adapter Rule as defined in cc10x:codebase-design. A component that fails the deletion test (complexity vanishes if deleted) or fails the two-adapter rule (it is a port with only one adapter — an ordinary caller or test exercising the interface is not an adapter) is not a real boundary yet — fold it into its caller or defer the split until a second concrete need appears.
When a module's interface is non-trivial, design it twice:
Compare both. The first design is usually shallow — it mirrors the implementation. The second design reveals what the interface should hide. Use the better one, or a hybrid.
Why: One-pass interfaces optimize for the implementer. Two-pass interfaces optimize for the caller.
For architectural decisions with material trade-offs:
### Decision: [Title]
**Context:** [why this decision is needed]
**Options:** [2-3 alternatives with trade-offs]
**Decision:** [what was chosen]
**Rejected:** [what was not chosen and why]
**Consequences:** [what this enables and prevents]
**Reversibility:** [reversible or irreversible — irreversible decisions need more evidence]
name: architecture description: | Greenfield architecture design: map functionality flows, draw components, design APIs, classify dependencies, plan observability. For multi-component, API, schema, auth, or integration-heavy work. For retrofitting existing code, use codebase-hygiene instead. allowed-tools: Read Grep Glob LSP Bash user-invocable: false
---
name: architecture
description: |
Greenfield architecture design: map functionality flows, draw components, design APIs,
classify dependencies, plan observability. For multi-component, API, schema, auth, or
integration-heavy work. For retrofitting existing code, use codebase-hygiene instead.
allowed-tools: Read Grep Glob LSP Bash
user-invocable: false
---
# Architecture
Design systems from scratch: map flows, then draw components. For retrofitting existing code, use `codebase-hygiene` instead.
## Intake Routing
| Request type | Use |
| ------------- | ----- |
| New system/major feature (greenfield) | This skill |
| Existing code with shallow modules | `codebase-hygiene` |
| Multi-component integration | This skill |
| Single-component refactor | `planning` + `building` |
## Functionality-First Design Process
### Phase 1: Map Functionality Flows
Map every user flow end-to-end before designing any component:
```
Flow: [name]
1. [step] → [what the system does] → [what the user sees]
2. [step] → [what the system does] → [what the user sees]
Error paths:
- [error] → [system response] → [user sees]
```
Every flow must have its error paths mapped. Unmapped error paths become unmapped components.
### Phase 2: Map to Architecture
Translate flows into components:
- Each flow step maps to one or more components
- Each error path maps to a component's error handling
- Data crossings between components become interfaces
### Phase 3: Design Components
For each component:
- **Interface:** what it receives and returns (the contract)
- **Responsibility:** what it does (one sentence)
- **Dependencies:** what it needs (other components, external services)
- **State:** what it remembers (if anything)
- **Error handling:** what can go wrong and what it does about it
Before finalizing any component boundary, apply the **Deletion Test** and **Two-Adapter Rule** as defined in `cc10x:codebase-design`. A component that fails the deletion test (complexity vanishes if deleted) or fails the two-adapter rule (it is a port with only one adapter — an ordinary caller or test exercising the interface is not an adapter) is not a real boundary yet — fold it into its caller or defer the split until a second concrete need appears.
## Architecture Views
### System Context (C4 Level 1)
Box diagram: your system + external systems it talks to. One paragraph per external system: what it provides, what you depend on.
### Container View (C4 Level 2)
Internal boxes: web app, API, database, queue, worker. Arrows show data flow. One paragraph per container: technology choice, responsibility.
### Component View (C4 Level 3)
Inside each container: the modules/classes. Arrows show call relationships. This is what the builder will implement.
## LSP-Powered Architecture Analysis
Use LSP to understand existing architecture before designing new:
- **Go to Definition** on key functions to trace the call graph
- **Find References** to understand blast radius of existing interfaces
- **Go to Type Definition** to understand data models
- **Incoming/Outgoing Calls** to map the dependency graph
## API Design (Functionality-Aligned)
Design APIs from the flow, not from the data model:
1. **What does the user need to do?** (action, not resource)
2. **What's the minimal interface that enables it?** (fewest endpoints/parameters)
3. **What's the error contract?** (every error case from the flow mapping)
4. **What's the type contract?** (input/output types, not just shapes)
```typescript
// Good: functionality-aligned
POST /orders/{id}/cancel → { status, cancelledAt }
// Bad: data-model-aligned
PUT /orders/{id} → { ..., status: "cancelled", ... }
```
## Integration Patterns
For each integration:
| Field | Value |
| ------- | ------- |
| **System** | [name] |
| **Protocol** | [HTTP/gRPC/CLI/message queue] |
| **Direction** | [we call them / they call us / both] |
| **Contract** | [request/response schema or event schema] |
| **Failure mode** | [what happens when it's down] |
| **Retry policy** | [retries, backoff, circuit breaker] |
### Dependency Classification
| Class | Meaning | Example |
| ------- | --------- | --------- |
| **Owned** | We control the code and deploy it | Internal service |
| **Wrapped** | We depend on it but wrap it in our interface | Third-party SDK behind adapter |
| **Consumed** | We depend on it directly, no wrapper | External API called directly |
| **Infra** | Platform-level dependency | Database, message queue |
Wrapped dependencies can be swapped. Consumed dependencies cannot. Track which is which — it determines your coupling risk.
## Observability Design
For each component:
- **Logging:** what to log (not "everything" — specific events)
- **Metrics:** what to track (business-relevant, not infra noise)
- **Tracing:** what to trace (cross-component flows, not every function call)
- **Alerting:** when to alert (user-visible impact, not internal noise)
## Architecture Vocabulary
The deep-module vocabulary (module, interface, depth, seam, adapter, leverage, locality, deletion test, two-adapter rule) is defined in `cc10x:codebase-design`. **Use those terms exactly.**
Three extra terms specific to greenfield architecture (not in codebase-design):
- **Concealed complexity** — work done behind a simple interface. The goal of deep modules.
- **Temporal coupling** — caller must know the order of operations. Design defect — remove or document explicitly.
- **Leaky abstraction** — interface exposes internal details callers must know. Design defect — fix the interface.
Before finalizing any component boundary, apply the **Deletion Test** and **Two-Adapter Rule** as defined in `cc10x:codebase-design`. A component that fails the deletion test (complexity vanishes if deleted) or fails the two-adapter rule (it is a port with only one adapter — an ordinary caller or test exercising the interface is not an adapter) is not a real boundary yet — fold it into its caller or defer the split until a second concrete need appears.
## Design It Twice
When a module's interface is non-trivial, design it twice:
1. **First design:** the obvious approach. Write it out fully.
2. **Second design:** a different approach (not a refinement of the first).
Compare both. The first design is usually shallow — it mirrors the implementation. The second design reveals what the interface *should* hide. Use the better one, or a hybrid.
**Why:** One-pass interfaces optimize for the implementer. Two-pass interfaces optimize for the caller.
## Decision Framework
For architectural decisions with material trade-offs:
```markdown
### Decision: [Title]
**Context:** [why this decision is needed]
**Options:** [2-3 alternatives with trade-offs]
**Decision:** [what was chosen]
**Rejected:** [what was not chosen and why]
**Consequences:** [what this enables and prevents]
**Reversibility:** [reversible or irreversible — irreversible decisions need more evidence]
```
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