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writing-tests

writing-tests

github.com/spencerpaulyTesting & quality868506 installsUpdated 13w ago
Repository

About writing-tests

writing-tests is a skill for developers adding tests to existing code or improving coverage. It checks the project's test setup and conventions, then guides test creation, execution, and debugging.

Key features

  1. 01Identify test runners and project conventions
  2. 02Analyze public APIs and code paths
  3. 03Create test files to match project patterns
  4. 04Write edge-case and async tests
  5. 05Mock external dependencies
  6. 06Run tests and address failures

Use cases

  1. 01Add unit tests to existing modules
  2. 02Write behavior tests for React components
  3. 03Cover error handling and edge cases

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/spencerpauly/awesome-cursor-skills --skill writing-tests

After installing, type/writing-testsin Claude Code to confirm it loaded.

Details

From the project README

Writing Tests

Use this skill when the user asks to add tests to existing code, improve test coverage, or write tests for a specific file or module.

Steps

  1. Detect the test setup — check what's already configured:

    # Check package.json for test runner
    cat package.json | grep -E "jest|vitest|mocha|playwright|cypress"
    

    Look for config files: vitest.config.ts, jest.config.ts, playwright.config.ts, .mocharc.*. Check for existing test files to understand the project's test patterns and conventions.

  2. If no test runner exists — set one up:

    npm install -D vitest @testing-library/react @testing-library/jest-dom
    

    Add a test script to package.json:

    { "test": "vitest run", "test:watch": "vitest" }
    
  3. Analyze the target code — read the file(s) to test and identify:

    • Public API: exported functions, classes, components, hooks
    • Code paths: conditionals, error handling, edge cases
    • Dependencies: external services, databases, APIs that need mocking
    • Side effects: file I/O, network calls, DOM mutations
  4. Create the test file — place it next to the source file or in a __tests__/ directory, matching the project's convention:

    • src/utils/format.ts → src/utils/format.test.ts
    • src/components/Button.tsx → src/components/Button.test.tsx
  5. Write tests following this structure:

    import { describe, it, expect, vi } from "vitest";
    
    describe("functionName", () => {
      // Happy path
      it("returns formatted output for valid input", () => { ... });
    
      // Edge cases
      it("handles empty string", () => { ... });
      it("handles null/undefined input", () => { ... });
    
      // Error cases
      it("throws on invalid argument", () => { ... });
    
      // Boundary conditions
      it("handles maximum length input", () => { ... });
    });
    
  6. Mock external dependencies — don't make real API calls or database queries in unit tests:

    vi.mock("@/lib/db", () => ({
      query: vi.fn().mockResolvedValue([{ id: 1, name: "test" }]),
    }));
    

    For React components, mock hooks that fetch data:

    vi.mock("@/hooks/useUser", () => ({
      useUser: () => ({ user: { name: "Test" }, isLoading: false }),
    }));
    
  7. Test React components with Testing Library:

    import { render, screen, fireEvent } from "@testing-library/react";
    
    it("renders the button and handles click", () => {
      const onClick = vi.fn();
      render(<Button onClick={onClick}>Click me</Button>);
      fireEvent.click(screen.getByRole("button", { name: "Click me" }));
      expect(onClick).toHaveBeenCalledOnce();
    });
    
  8. Run the tests and verify they pass:

    npm test
    

    If any fail, fix the test or the code (depending on whether the test expectation or the implementation is wrong).

What to Test

  • Always test: public API, error handling, edge cases (empty, null, zero, negative), state transitions, async behavior
  • Skip testing: private implementation details, third-party library internals, simple getters/setters, type-only code

Notes

  • Match the project's existing test style — if they use test() instead of it(), follow that.
  • Don't test implementation details — test behavior and outputs, not internal method calls.
  • Use descriptive test names that explain the scenario: "returns 0 when cart is empty" not "test1".
  • One assertion concept per test — multiple expect calls are fine if they verify the same behavior.
  • For async code, always await the result or use resolves/rejects matchers.

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