MockData — Mock Data Generator

---

name: MockData

description: "Generate realistic fake data — names, emails, addresses — for testing and dev. Use when seeding databases, mocking API responses, creating sample records."

version: "3.0.0"

author: "BytesAgain"

homepage: https://bytesagain.com

source: https://github.com/bytesagain/ai-skills

tags: ["mock","fake","data","generator","testing","development","faker","sample"]

categories: ["Developer Tools", "Utility"]

---

# MockData — Mock Data Generator

Generate realistic random data for testing, development, and prototyping. Outputs names, emails, phone numbers, addresses, UUIDs, CSV files, and JSON records.

Commands

| Command | Description |

|---------|-------------|

| `name [count]` | Generate random full names (first + last, from 160+ name pool) |

| `email [count]` | Generate random email addresses (realistic patterns with varied domains) |

| `phone [count]` | Generate random US phone numbers (+1-XXX-XXX-XXXX format) |

| `address [count]` | Generate random US street addresses with city, state, ZIP |

| `uuid [count]` | Generate random UUID v4 values (from /dev/urandom) |

| `csv <rows> <cols>` | Generate CSV with auto-typed columns (id, name, email, phone, city, score) |

| `json [count]` | Generate JSON array of records with id, name, email, phone, age, city |

Examples

# Generate 5 random names
mockdata name 5

# Generate 10 email addresses
mockdata email 10

# Generate UUIDs
mockdata uuid 3

# Generate a CSV file with 100 rows and 4 columns
mockdata csv 100 4 > test-data.csv

# Generate JSON records
mockdata json 5 > users.json

# Combine for seeding
mockdata json 50 > seed.json

Data Sources

CSV Column Types

Columns cycle through these types based on position:

1. `id` (sequential)

2. `name` (random full name)

3. `email` (random email)

4. `phone` (random phone)

5. `city` (random city)

6. `score` (random 0-99)

Notes