Community Команды Разработка

Команда generate-test-cases

Claude Code
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Установка 
npx claude-code-templates@latest --command testing/generate-test-cases

Описание

generate-test-cases — slash-команда подготовки проверок: тест-кейсы — комплексные сценарии под функциональность, автоматический анализ — выявление непокрытых веток, оптимизация покрытия — приоритет проверок по риску. Для QA и разработчиков, желающих системные сценарии тестирования без ручного перечисления.

Что умеет:
— генерировать тест-кейсы;
— анализировать покрытие автоматически;
— оптимизировать набор проверок;
— запускаться одной командой.

Generate Test Cases

Generate comprehensive test cases with automatic analysis and intelligent coverage: $ARGUMENTS

Current Test Generation Context

  • Target code: Analysis of $ARGUMENTS for test case generation requirements
  • Test framework: !find . -name "jest.config.*" -o -name "*.test.*" | head -1 && echo "Jest/Vitest detected" || echo "Detect framework"
  • Code complexity: !find . -name "*.js" -o -name "*.ts" -o -name "*.py" | xargs wc -l 2>/dev/null | tail -1 | awk '{print $1}' || echo "0" lines of code
  • Existing patterns: !find . -name "*.test.*" -o -name "*.spec.*" | head -3 test file patterns

Task

Execute intelligent test case generation with comprehensive coverage and optimization:

Generation Scope: Use $ARGUMENTS to specify target file, unit tests, integration tests, edge cases, or automatic comprehensive generation

Test Case Generation Framework:

  • Code Structure Analysis – Parse function signatures, analyze control flow, identify branching paths, assess complexity metrics
  • Test Pattern Recognition – Analyze existing test patterns, identify testing conventions, extract reusable patterns, optimize consistency
  • Input Space Analysis – Identify parameter domains, analyze boundary conditions, discover edge cases, evaluate error conditions
  • Test Case Design – Generate positive test cases, negative test cases, boundary value tests, equivalence class tests
  • Mock Strategy Planning – Identify external dependencies, design mock implementations, create test data factories, optimize test isolation
  • Coverage Optimization – Ensure path coverage, optimize test efficiency, eliminate redundancy, maximize testing value

Advanced Features: Automatic edge case discovery, intelligent input generation, test data synthesis, coverage gap analysis, performance test generation.

Quality Assurance: Test maintainability, execution performance, assertion quality, debugging effectiveness.

Output: Comprehensive test case suite with optimized coverage, intelligent mocking, proper assertions, and maintenance guidelines.