typed-service-contracts
$
npx mdskill add google-labs-code/design.md/typed-service-contractsEnforce strict contracts for safe, testable TypeScript services.
- Separates input parsing from business logic for complex validation.
- Relies on Zod schemas and discriminated unions for type safety.
- Decides execution by validating inputs against defined schemas first.
- Delivers results via explicit success or failure error structures.
SKILL.md
.github/skills/typed-service-contractsView on GitHub ↗
---
name: typed-service-contracts
description: Architecture standard for building robust, type-safe TypeScript services using the "Spec and Handler" pattern. Use when building CLIs, libraries, or complex business logic.
---
# Typed Service Contracts (Spec & Handler Pattern)
This skill defines a **Vertical Slice Architecture** backed by **Design by Contract (DbC)** principles. It treats application logic as rigorously defined Units of Work where inputs are parsed (not just validated) and errors are treated as values (Result Pattern) rather than exceptions.
## When to use this skill
- **Building CLIs or Libraries:** When you need strict boundaries between user input and system logic.
- **Complex Validation:** When inputs require transformation (parsing) before being useful (e.g., ensuring a string is a valid file path).
- **High-Reliability Requirements:** When you cannot afford unhandled runtime exceptions and need exhaustive error handling.
- **Testing Focus:** When you want to separate data validation tests from business logic tests.
## Architecture Components
### 1. The Spec (`spec.ts`)
The "Contract" or "Port". It defines the *What*. It must contain:
- **Input Schema:** A Zod schema that parses raw input into a valid DTO.
- **Output Schema:** A Zod schema defining the successful data structure.
- **Error Schema:** A discriminated union of specific failure modes (not generic errors).
- **Result Type:** A `DiscriminatedUnion` of `Success | Failure`.
- **Interface:** The capability definition (e.g., `interface ConfigureSpec`).
### 2. The Handler (`handler.ts`)
The "Implementation" or "Adapter". It defines the *How*. It must:
- Implement the Interface defined in the Spec.
- Be an "Impure" class that handles side effects (File System, API calls).
- **NEVER throw** exceptions. It must catch internal errors and map them to the `Result` type.
---
## How to use it
### Step 1: Define the Contract (`spec.ts`)
Follow this template to define the boundaries.
```typescript
import { z } from 'zod';
// 1. VALIDATION HELPERS (Reusable Refinements)
export const SafePathSchema = z.string()
.min(1)
.refine(p => !p.includes('..'), "No traversal allowed");
// 2. INPUT (The Command) - "Parse, don't validate"
export const MyTaskInputSchema = z.object({
path: SafePathSchema,
force: z.boolean().default(false),
});
export type MyTaskInput = z.infer<typeof MyTaskInputSchema>;
// 3. ERROR CODES (Exhaustive)
export const MyTaskErrorCode = z.enum([
'FILE_NOT_FOUND',
'PERMISSION_DENIED',
'UNKNOWN_ERROR'
]);
// 4. RESULT (The Monad)
export const MyTaskSuccess = z.object({
success: z.literal(true),
data: z.string(), // The output payload
});
export const MyTaskFailure = z.object({
success: z.literal(false),
error: z.object({
code: MyTaskErrorCode,
message: z.string(),
suggestion: z.string().optional(),
recoverable: z.boolean(),
})
});
export type MyTaskResult =
| z.infer<typeof MyTaskSuccess>
| z.infer<typeof MyTaskFailure>;
// 5. INTERFACE (The Capability)
export interface MyTaskSpec {
execute(input: MyTaskInput): Promise<MyTaskResult>;
}
```
### Step 2: Implement the Handler (`handler.ts`)
Follow this template to implement the logic.
```typescript
import { MyTaskSpec, MyTaskInput, MyTaskResult } from './spec.js';
import * as fs from 'fs';
export class MyTaskHandler implements MyTaskSpec {
async execute(input: MyTaskInput): Promise<MyTaskResult> {
try {
// 1. Business Logic
if (!fs.existsSync(input.path)) {
// 2. Explicit Error Return (No Throwing)
return {
success: false,
error: {
code: 'FILE_NOT_FOUND',
message: `Path does not exist: ${input.path}`,
recoverable: true
}
};
}
// 3. Success Return
return {
success: true,
data: 'Operation complete'
};
} catch (error) {
// 4. Safety Net: Catch unknown runtime errors
return {
success: false,
error: {
code: 'UNKNOWN_ERROR',
message: error instanceof Error ? error.message : String(error),
recoverable: false
}
};
}
}
}
```
### Step 3: Testing Strategy
Do not write monolithic tests. Split them into **Contract Tests** and **Logic Tests**.
#### A. Contract Tests (Schema)
Test the *Bouncer*. Ensure invalid data is rejected before it reaches the handler.
* **Focus:** Edge cases, validation rules, Zod refinements.
* **Style:** Data-driven (Table tests).
```typescript
// spec.test.ts
import { MyTaskInputSchema } from './spec';
const invalidCases = [
{ val: '../etc/passwd', err: 'No traversal allowed' },
{ val: '', err: 'min(1)' },
];
test.each(invalidCases)('validates paths', ({ val, err }) => {
const result = MyTaskInputSchema.safeParse({ path: val });
expect(result.success).toBe(false);
});
```
#### B. Logic Tests (Handler)
Test the *Chef*. Mock external dependencies (fs, network) and assert the Result Object.
* **Focus:** Business logic flow, error mapping, success states.
* **Style:** Mocked unit tests or Scenario Runners.
```typescript
// handler.test.ts
import { MyTaskHandler } from './handler';
import { vi } from 'vitest'; // or jest
test('returns FILE_NOT_FOUND if path missing', async () => {
// MOCK
vi.mocked(fs.existsSync).mockReturnValue(false);
// EXECUTE
const handler = new MyTaskHandler();
const result = await handler.execute({ path: '/fake' });
// ASSERT (Check the Result Object)
expect(result.success).toBe(false);
if (!result.success) {
expect(result.error.code).toBe('FILE_NOT_FOUND');
}
});
```More from google-labs-code/design.md
- agent-dx-cli-scaleA scoring scale for evaluating how well a CLI is designed for AI agents, based on the "Rewrite Your CLI for AI Agents" principles.
- inkInk terminal renderer for json-render that turns JSON specs into interactive terminal UIs. Use when working with @json-render/ink, building terminal UIs from JSON, creating terminal component catalogs, or rendering AI-generated specs in the terminal.
- tdd-red-green-refactor>