Generate Tests — Comprehensive Test Suite Generator

Generate complete test coverage for any file, component, or module. Covers unit tests, integration tests, edge cases, error handling, and mocking — adapted to whatever testing framework the project uses.

Use when: you want tests generated for a file or component, need to improve test coverage, want edge case coverage, need mocks for external dependencies, or want to bootstrap a test suite for untested code.

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When This Skill Is Activated

Follow every step below. Do NOT generate tests without first analyzing the project's testing setup and the target code.

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Step 1: Detect the Testing Setup

Before writing any tests, discover the project's testing conventions:

1. Find the test framework — Check package.json (dependencies/scripts), or config files:

   • jest.config.* / jest key in package.json → Jest
   • vitest.config.* → Vitest
   • cypress.config.* → Cypress
   • playwright.config.* → Playwright
   • pytest.ini / pyproject.toml [tool.pytest] → pytest
   • go.mod → Go testing
   • Cargo.toml → Rust (#[cfg(test)])

2. Find existing test files — Search for *.test.*, *.spec.*, test_*.py, *_test.go to understand naming conventions and patterns already in use.

3. Check for test utilities — Look for shared helpers, factories, custom matchers, or mock setups the project already provides (e.g., test/utils.ts, __mocks__/, conftest.py).

4. Check the test script — Read the test script in package.json (or equivalent) to understand how tests are run, what flags are used, and what coverage tool is configured.

Match the project's existing conventions exactly. File naming, import style, assertion style, describe/it vs test, etc.

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Step 2: Analyze the Target Code

Read the file or component the user wants tested. Identify:

• All exported functions, classes, methods, and components
• Input types and return types (or infer them)
• External dependencies (API calls, database, file system, third-party libs)
• Side effects (mutations, network calls, timers, DOM manipulation)
• Error paths (throw statements, catch blocks, error returns)
• Edge cases (null/undefined inputs, empty arrays, boundary values, large inputs)
• Async behavior (promises, callbacks, streams)

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Step 3: Plan the Test Suite

Before writing code, outline what you'll test:

Unit Tests

• Every exported function with representative inputs
• Return values for happy path
• Error handling for invalid inputs
• Boundary values (0, -1, empty string, null, max int, etc.)
• Type coercion edge cases if applicable

Integration Tests (if the code interacts with other modules)

• Component interactions and data flow
• API calls with mocked responses (success + failure)
• Service layer with mocked dependencies
• State management side effects

Edge Cases and Error Handling

• Null, undefined, empty inputs
• Malformed data
• Network failures / timeouts
• Concurrent access / race conditions
• Extremely large inputs

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Step 4: Write the Tests

Follow these principles:

Structure

describe("[ModuleName]", () => {
  describe("[functionName]", () => {
    it("should [expected behavior] when [condition]", () => {
      // Arrange
      // Act
      // Assert
    });
  });
});

• Descriptive test names — Read like documentation: "should return empty array when input is null"
• AAA pattern — Arrange (setup), Act (execute), Assert (verify). Separate each visually.
• One assertion per concept — Multiple expect() calls are fine if they assert one logical thing
• Group with describe — One block per function/method/component behavior
• Setup/teardown — Use beforeEach/afterEach for test isolation. Clean up subscriptions, timers, mocks.

Mocking Strategy

• Mock external dependencies only — Don't mock the code under test
• Use the project's existing mock patterns (e.g., jest.mock(), vi.mock(), unittest.mock)
• Create test data factories for complex objects instead of inline literals
• Mock timers (jest.useFakeTimers() / vi.useFakeTimers()) for time-dependent code
• Mock dates for deterministic snapshots
• Always restore mocks in afterEach to prevent test pollution

Async Testing

• Always await async functions or return the promise
• Test both resolve and reject paths
• Use waitFor / findBy for async UI updates (React Testing Library)
• Test loading, success, and error states

Framework-Specific Guidance

Framework	Component Testing	Key Patterns
React	React Testing Library	render(), screen.getByRole(), userEvent, waitFor
Vue	Vue Test Utils	mount(), shallowMount(), wrapper.find(), trigger()
Angular	TestBed	TestBed.configureTestingModule(), fixture.detectChanges()
Node.js	Supertest	request(app).get("/api/...").expect(200)
Python	pytest	@pytest.fixture, monkeypatch, parametrize
Go	testing	t.Run(), table-driven tests, t.Parallel()

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Step 5: Verify and Improve

After generating the tests:

1. Run the tests — Execute the test suite to make sure they pass
2. Check coverage — Identify untested lines or branches
3. Add missing cases — Fill gaps in coverage, especially error paths
4. Review test quality — Tests should fail when the code breaks, not just when the tests break

Coverage Goals

Priority	Coverage Target
Critical business logic	90%+
Utility functions	85%+
UI components	80%+
Configuration/glue code	60%+

Focus on branch coverage over line coverage — untested else and catch paths are where bugs hide.

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Output Checklist

Before finishing, verify:

• Tests follow the project's existing naming convention and file location
• All exported functions/components have at least one test
• Happy path tested for every function
• Error/failure path tested for every function that can fail
• Edge cases covered (null, empty, boundary values)
• External dependencies are mocked (no real API calls, no real DB)
• Async code is properly awaited
• Mocks are cleaned up in afterEach
• Tests are independent — can run in any order
• Test names read like documentation