dct-generate

name

dct-generate

description

Use this skill when the user wants to create synthetic test data, generate fake datasets, create mock data for testing, produce realistic data with specific patterns, or need sample data with custom schemas. Triggers include "generate test data", "create fake data", "mock dataset", "synthetic data", "generate sample records", "create test data", "fake users", "mock data", or when needing test data with specific fields and relationships.

DCT Generate - Create Synthetic Data

Generate realistic test data with customizable schemas and field types.

When to Use

Use this skill when you need to:

• Create test datasets for development
• Generate mock data for demos
• Produce synthetic data for testing ETL pipelines
• Create data with specific distributions
• Generate data with referential integrity

Installation

which dct || go build -o dct && chmod +x ./dct

Usage

dct gen <schema> [flags]

Arguments

• schema: JSON schema as a file path or inline JSON string

Flags

• -n, --lines <number>: Number of rows to generate (default: 1)
• -f, --format <format>: Output format - csv, ndjson (default: csv)
• -o, --outfile <file>: Output file path (default: stdout)

Examples

From schema file:

dct gen schema.json -n 1000 -o test_data.csv

Inline schema:

dct gen '[{"field":"name","source":"firstNames"}]' -n 100