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    API Mock & Contract Builder

    1

    The problem Frontend and mobile developers are constantly blocked by missing or unstable backend endpoints during the build phase.

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    API Mock & Contract Builder

    API Mock & Contract Builder

    Example session with this skill installed

    Analyze my InventoryTable.tsx component and generate an OpenAPI 3.1 spec, Zod schemas, and an Express.js mock server for managing warehouse stock levels.

    • Read your context and instructions
    • Compiled the api mock

    Analyzed InventoryTable.tsx. Generated OpenAPI 3.1 specification, Zod validation schemas, and a functional Express.js mock server with 10 realistic stock records.

    API Mock & Contract Implementation

    
    # openapi.yaml
    openapi: 3.1.0
    info:
      title: Inventory Management API
      version: 1.0.0
    paths:
      /api/v1/inventory:
        get:
          summary: List inventory items
          parameters:
            - name: limit
              in: query
              schema:
                type: integer
                default: 10
          responses:
            '200':
              description: A list of inventory items
              content:
                application/json:
                  schema:
                    $ref: '#/components/schemas/InventoryPage'
    components:
      schemas:
        InventoryItem:
          type: object
          required: [id, sku, quantity, status]
          properties:
            id: { type: string, format: uuid }
            sku: { type: string, pattern: '^[A-Z]{3}-\\d{4}$' }
            quantity: { type: integer, minimum: 0 }
            status: { type: string, enum: [IN_STOCK, LOW_STOCK, OUT_OF_STOCK] }
        InventoryPage:
          type: object
          properties:
            items:
              type: array
              items: { $ref: '#/components/schemas/InventoryItem' }
            total: { type: integer }
    
    // schemas.ts
    import { z } from 'zod';
    
    export const InventoryItemSchema = z.object({
      id: z.string().uuid(),
      sku: z.string().regex(/^[A-Z]{3}-\d{4}$/),
      quantity: z.number().min(0),
      status: z.enum(['IN_STOCK', 'LOW_STOCK', 'OUT_OF_STOCK']),
    });
    
    export type InventoryItem = z.infer<typeof InventoryItemSchema>;
    
    // mock-server.js
    // Dependencies: express, uuid
    const express = require('express');
    const app = express();
    const PORT = 4000;
    
    const inventory = [
      { id: '550e8400-e29b-41d4-a716-446655440000', sku: 'WHS-1024', quantity: 45, status: 'IN_STOCK' },
      { id: '7c9e6679-7425-40de-944b-e07fc1f90ae7', sku: 'WHS-2055', quantity: 2, status: 'LOW_STOCK' }
    ];
    
    app.get('/api/v1/inventory', (req, res) => {
      setTimeout(() => {
        res.json({ items: inventory, total: inventory.length });
      }, 250); // Simulated latency
    });
    
    app.listen(PORT, () => console.log(`Mock server running on port ${PORT}`));
    

    Next steps

    1. Run npm install express uuid to install the mock server dependencies.
    2. Verify the sku regex pattern matches your specific warehouse naming conventions.
    3. Integrate the InventoryItem type into your React component's data fetching hook.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Unblock frontend teams by providing functional mock endpoints instantly.Synchronize backend and frontend types using shared Zod or Pydantic schemas.Generate production-ready OpenAPI documentation for existing UI components.Stress test frontend error handling with standardized RFC 7807 error responses.

    About this skill

    The problem

    Frontend and mobile developers are constantly blocked by missing or unstable backend endpoints during the build phase. Relying on manual, hard-coded mock objects leads to drift between the UI and the actual production API, causing breaking changes at integration.

    What it does

    • Generates strict OpenAPI 3.1.0 JSON and YAML specifications with reusable domain models.
    • Constructs drop-in mock handlers for MSW (v2), Express.js, or FastAPI with simulated network latency.
    • Synthesizes realistic relational seed datasets using valid UUIDs, ISO timestamps, and industry-specific strings.
    • Produces synchronized Zod (TypeScript) and Pydantic v2 (Python) validation schemas to ensure type safety.
    • Validates generated contracts against industry-standard linters and smoke-tests mock endpoints before delivery.

    Frameworks & tools

    OpenAPI 3.1, TypeScript, Zod, Python, Pydantic v2, MSW (Mock Service Worker), Express.js, FastAPI, and Vitest/Pytest for smoke testing.

    Why this beats prompting it yourself

    General LLMs often produce hallucinated OpenAPI fields or inconsistent types between the spec and the mock implementation. This skill enforces strict RFC 7807 error patterns, consistent pagination paradigms, and performs internal compilation checks to ensure the generated code actually runs without manual fixes.

    Use cases

    • Unblock frontend development before the backend team has finished the API implementation.
    • Generate comprehensive integration test suites with realistic, randomized seed data.
    • Deduce API requirements directly from existing React/Vue components to document legacy systems.
    • Test frontend resilience by simulating high-latency or specific HTTP error states (422, 401).

    Known limitations

    Requires local installation of runtime packages like msw, express, or fastapi as specified in the output. Inference from UI components treats ambiguous fields as proposals requiring user confirmation.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
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      Download the ZIP

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      Unzip into your skills folder

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      Ask your agent to use it

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    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 23 days ago

    • Passed all security checks, Safe to install

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    Listed23 days ago

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