Testing Skill

Comprehensive testing domain for pytest-based projects. Provides test generation, review, execution, and specialized testing workflows with automatic routing based on user intent.

Auto-Activation Keywords

This skill activates automatically when you mention:

•test, tests, testing
•coverage, test coverage
•pytest, unittest
•integration test, unit test, e2e test
•performance test, benchmark, load test
•security test, penetration test
•test review, test quality

Routing Logic

Based on user intent, this skill routes to appropriate workflows:

Test Generation

Keywords: "generate tests", "create tests", "write tests", "test coverage"

•Simple test generation → Use /testing/generate workflow
•Complex test strategy → Invoke test-engineer agent

Test Review

Keywords: "review tests", "test quality", "coverage gaps", "improve tests"

•Review existing tests → Use /testing/review workflow
•Comprehensive quality audit → Invoke test-engineer agent

End-to-End Testing

Keywords: "e2e test", "end-to-end", "full workflow", "integration test", "pipeline test"

•E2E test generation → Use /testing/e2e workflow
•Complex multi-component → Invoke test-engineer agent

Performance Testing

Keywords: "performance test", "benchmark", "load test", "memory usage", "speed test"

•Performance test creation → Use /testing/performance workflow
•Comprehensive performance analysis → Invoke test-engineer agent

Security Testing

Keywords: "security test", "vulnerability", "penetration test", "OWASP", "injection"

•Security test generation → Use /testing/security workflow
•Full security audit → Invoke security-auditor agent

Test Execution

Keywords: "run tests", "execute tests", "test results", "pytest command"

•Quick reference → See context/pytest-commands.md
•Custom test execution → Use bash with pytest commands

Workflow Quick Reference

bash

# Generate comprehensive tests
/testing/generate [module-path]

# Review test quality
/testing/review [test-directory]

# Create E2E tests
/testing/e2e [workflow-name]

# Create performance tests
/testing/performance [component]

# Create security tests
/testing/security [attack-vector]

Complex Task Delegation

For complex multi-step testing tasks, invoke the test-engineer agent via Task tool:

code

Use test-engineer agent when:
- Designing comprehensive test strategy across multiple components
- Creating complete test suites from scratch (unit + integration + e2e)
- Optimizing test performance and coverage simultaneously
- Integrating multiple testing types (functional + performance + security)

Supporting Context

•Pytest patterns: See context/pytest-patterns.md for common test patterns
•Common commands: See context/pytest-commands.md for frequently used commands
•Coverage standards: Minimum 80% coverage required (see /standards/python.md)

Integration Points

Agents

•test-engineer: Comprehensive test strategy and generation
•security-auditor: Security-focused testing and vulnerability analysis

MCP Tools

•mcp__zen-core__chat: Multi-model consensus for complex test design decisions

Hooks

•TDD enforcement: Pre-Write/Edit hook enforces test-first development

Standards

•Python testing standards: /standards/python.md (80%+ coverage requirement)
•Linting standards: /standards/linting.md (pytest configuration)

Testing Standards Summary

Required for all projects:

•Minimum 80% test coverage
•Unit tests in tests/unit/ (< 1s each)
•Integration tests in tests/integration/ (< 5s each)
•E2E tests in tests/e2e/ (marked @pytest.mark.e2e)
•Proper pytest markers (@pytest.mark.unit, .integration, .slow, .security, .perf)
•AAA pattern (Arrange-Act-Assert)
•Clear test naming (test_should_[expected]when[condition])

Fixture management:

•Use existing fixtures from conftest.py
•No hardcoded test data
•Appropriate fixture scope (function, class, module, session)

Test execution:

bash

# Standard test run with coverage
poetry run pytest -v --cov=src --cov-report=html --cov-report=term-missing --cov-fail-under=80

# Fast dev cycle (skip slow tests)
poetry run pytest -m "not slow"

# Specific test categories
poetry run pytest tests/unit/          # Unit tests only
poetry run pytest tests/integration/   # Integration tests
poetry run pytest -m security          # Security tests
poetry run pytest -m perf              # Performance tests

Examples

Example 1: Generate tests for new module

code

User: "Generate comprehensive tests for the payment processor module"
→ Skill routes to /testing/generate workflow
→ Workflow creates unit, integration, and security tests
→ Ensures 80%+ coverage for payment processor

Example 2: Review test quality

code

User: "Review the tests for the authentication system and suggest improvements"
→ Skill routes to /testing/review workflow
→ Workflow analyzes coverage, patterns, fixture usage
→ Provides actionable recommendations

Example 3: Complex test strategy

code

User: "Design a comprehensive testing strategy for the new RAG pipeline"
→ Skill invokes test-engineer agent
→ Agent creates multi-tier testing approach:
  - Unit tests for embeddings, chunking, retrieval
  - Integration tests for pipeline flows
  - E2E tests for complete query-response cycles
  - Performance tests for large document handling

This skill consolidates test-generator, test-reviewer, e2e-tester, performance-tester, and security-tester into a unified testing domain with intelligent routing.