Skill
plan-data
Create a test data strategy covering synthetic data generation, anonymization, and environment-specific data management. Use for data privacy compliance and test environment setup.
From test-strategyInstall
1
Run in your terminal$
npx claudepluginhub melodic-software/claude-code-plugins --plugin test-strategyTool Access
This skill is limited to using the following tools:
ReadWriteGlobGrepSkill
Skill Content
Plan Test Data Command
Create a comprehensive test data strategy for managing data across test environments.
Process
Step 1: Gather Context
Identify project data needs:
- Data entities and relationships
- Sensitive data types (PII, PHI, financial)
- Environment requirements (dev, QA, staging)
- Compliance requirements (GDPR, HIPAA)
- Data volume requirements
Step 2: Load Skills
Invoke the test-strategy:test-data-strategy skill for data management patterns.
Step 3: Analyze Data Requirements
For each test level:
| Level | Data Source | Volume | Refresh |
|-------|-------------|--------|---------|
| Unit | Synthetic | Minimal | Per test |
| Integration | Synthetic + fixtures | Moderate | Per suite |
| E2E | Masked production | Realistic | Weekly |
| Performance | Scaled synthetic | Production-like | Per release |
Step 4: Identify Sensitive Data
Map PII and sensitive fields:
| Entity | Field | Sensitivity | Treatment |
|--------|-------|-------------|-----------|
| User | Email | PII | Substitution |
| User | SSN | Highly sensitive | Tokenization |
| Order | CardNumber | Financial | Redaction |
| Log | IP Address | PII | Masking |
Step 5: Design Generation Strategy
Recommend .NET data generation tools:
// Bogus for realistic fake data
var customerFaker = new Faker<Customer>()
.RuleFor(c => c.Name, f => f.Person.FullName)
.RuleFor(c => c.Email, f => f.Internet.Email())
.RuleFor(c => c.Phone, f => f.Phone.PhoneNumber());
// AutoFixture for anonymous test data
var fixture = new Fixture();
var order = fixture.Create<Order>();
Step 6: Create Strategy Document
Generate comprehensive data strategy:
# Test Data Strategy
## 1. Data Requirements by Level
[Matrix of requirements]
## 2. Data Sources
- Synthetic: Bogus, AutoFixture
- Fixtures: JSON/CSV seed files
- Masked: Anonymized production samples
## 3. Generation Patterns
[Code examples for each entity]
## 4. Anonymization Rules
[PII handling procedures]
## 5. Environment Configuration
- Dev: 100% synthetic
- QA: Masked production subset
- Staging: Full masked clone
## 6. Compliance Checklist
- [ ] GDPR: No real EU data in test
- [ ] HIPAA: PHI de-identified
- [ ] PCI: No real card numbers
## 7. Refresh Procedures
[When and how to refresh data]
Step 7: Output
## Test Data Strategy Created
**Entities Covered**: [count]
**Sensitive Fields Identified**: [count]
**Environments Configured**: [list]
**Files Created**:
- [path/to/data-strategy.md]
- [path/to/generators/CustomerFaker.cs]
- [path/to/seed/base-data.json]
**Compliance Status**:
- GDPR: [status]
- HIPAA: [status]
- PCI-DSS: [status]
**Next Steps**:
1. Review anonymization rules
2. Set up data refresh automation
3. Create seed scripts for each environment
Examples
General strategy:
/test-strategy:plan-data
With compliance context:
/test-strategy:plan-data healthcare system with HIPAA requirements
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Last CommitFeb 15, 2026