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generating-test-data

This skill enables Claude to generate realistic test data for software development. It uses the test-data-generator plugin to create users, products, orders, and custom schemas for comprehensive testing. Use this skill when you need to populate databases, simulate user behavior, or create fixtures for automated tests. Trigger phrases include "generate test data", "create fake users", "populate database", "generate product data", "create test orders", or "generate data based on schema". This skill is especially useful for populating testing environments or creating sample data for demonstrations.

89

1.00x
Quality

53%

Does it follow best practices?

Impact

96%

1.00x

Average score across 9 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./backups/skills-migration-20251108-070147/plugins/testing/test-data-generator/skills/test-data-generator/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

100%

1%

International User Data for QA Testing

Locale & seed reproducibility

Criteria
Without context
With context

Locale specified

100%

100%

Multiple locales

100%

100%

Seed value used

100%

100%

Seed value documented

100%

100%

JSON output format

100%

100%

Regional name patterns

100%

100%

Regional address format

100%

100%

Phone number locale

90%

100%

Volume met

100%

100%

Script produced

100%

100%

74%

-7%

Patient Record Test Data for API Integration Tests

Custom schema definition

Criteria
Without context
With context

Schema defined

26%

0%

Schema matches domain

100%

70%

JSON output format

100%

100%

Data matches schema

100%

100%

API payload format

100%

100%

Field type accuracy

100%

100%

Volume met

100%

100%

Generation script present

100%

100%

Schema file separate

0%

0%

No large files

100%

100%

100%

E-commerce Dataset for Performance Testing

Multi-entity relational data

Criteria
Without context
With context

Users generated

100%

100%

Products generated

100%

100%

Orders generated

100%

100%

JSON output format

100%

100%

Referential integrity: orders→users

100%

100%

Referential integrity: orders→products

100%

100%

Seed value used

100%

100%

Volume analysis present

100%

100%

Realistic product fields

100%

100%

Generation script present

100%

100%

No large files

100%

100%

100%

Populate Test Database for Task Management App

Database integration seeding

Criteria
Without context
With context

Database file created

100%

100%

Seed script present

100%

100%

Data inserted into DB

100%

100%

Referential integrity: tasks→projects

100%

100%

Referential integrity: projects→workspaces

100%

100%

Seed value used

100%

100%

Seed value documented

100%

100%

Realistic member data

100%

100%

Volume targets met

100%

100%

Record count summary

100%

100%

JSON format for intermediate data

100%

100%

100%

Generate Request Payloads for Checkout API Load Test

API load testing payload generation

Criteria
Without context
With context

Generation script present

100%

100%

customers.json present

100%

100%

products.json present

100%

100%

orders.json present

100%

100%

Volume: customers

100%

100%

Volume: orders

100%

100%

JSON array format

100%

100%

Realistic customer data

100%

100%

Orders reference customers

100%

100%

Seed value used

100%

100%

Seed value documented

100%

100%

Diverse data values

100%

100%

100%

Create Fixture Data for a Social Media App Test Suite

Test fixture file generation

Criteria
Without context
With context

Schema file present

100%

100%

Schema defines domain fields

100%

100%

Generation script present

100%

100%

JSON output format

100%

100%

Locale specified for users

100%

100%

Locale-appropriate names

100%

100%

Seed value used

100%

100%

Posts reference users

100%

100%

Comments reference posts

100%

100%

Volume met

100%

100%

Realistic content

100%

100%

100%

Test User Dataset for Multi-Tenant SaaS Platform

Auth-focused user profile generation

Criteria
Without context
With context

Generation script present

100%

100%

JSON output format

100%

100%

Realistic names

100%

100%

Email addresses present

100%

100%

Role or permission field

100%

100%

Multiple role values

100%

100%

Account state variation

100%

100%

Seed value used

100%

100%

Seed value documented

100%

100%

Volume met

100%

100%

Physical addresses present

100%

100%

90%

Product Catalog Test Dataset for E-Commerce QA

Product data completeness and attribute variety

Criteria
Without context
With context

Generation script present

100%

100%

JSON output format

100%

100%

Name field present

100%

100%

Description field present

100%

100%

Price field present

100%

100%

Category field present

100%

100%

Multiple categories

100%

100%

Schema defined

0%

0%

Seed value used

100%

100%

Volume met

100%

100%

Price varies realistically

100%

100%

100%

Load Testing Dataset for Payment Processing System

Order transaction data for load testing

Criteria
Without context
With context

Generation script present

100%

100%

Customers JSON present

100%

100%

Orders JSON present

100%

100%

JSON output format

100%

100%

Orders reference customers

100%

100%

Realistic customer data

100%

100%

Transaction amount field

100%

100%

Order volume for load testing

100%

100%

Seed value used

100%

100%

Seed documented

100%

100%

Volume summary present

100%

100%

No large files

100%

100%

Repository
jeremylongshore/claude-code-plugins-plus-skills
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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