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Writing Tests

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spencerpauly
writing-tests

Analyze existing code and write comprehensive unit and integration tests for it. Detects the test framework, identifies untested code paths, and generates tests with proper mocking, edge cases, and assertions. Use when the user asks to add tests, improve coverage, or test a specific module.

Overview

Publisherspencerpauly
Repositoryawesome-cursor-skills
Skill namewriting-tests
Stars
848
Forks
169
Bundled files
Instructions only
LicenseCC0-1.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by spencerpauly on GitHub. Read the source before you install it.

Installation

Install the Writing Tests AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/spencerpauly/awesome-cursor-skills/tree/main/resources/writing-tests
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/spencerpauly/awesome-cursor-skills.git /tmp/awesome-cursor-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-cursor-skills/resources/writing-tests .claude/skills/writing-tests
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Writing Tests in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Writing Tests on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Writing Tests is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

    bash
    # 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:

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

    Add a test script to package.json:

    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:

    ts
    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:

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

    For React components, mock hooks that fetch data:

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

    tsx
    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:

    bash
    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.

Frequently asked questions

What does the Writing Tests AI skill do?

Analyze existing code and write comprehensive unit and integration tests for it. Detects the test framework, identifies untested code paths, and generates tests with proper mocking, edge cases, and assertions. Use when the user asks to add tests, improve coverage, or test a specific module.

Why use Writing Tests on TypingMind?

Because you install it once and use it with any model. Writing Tests is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Writing Tests in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/spencerpauly/awesome-cursor-skills/tree/main/resources/writing-tests. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Writing Tests?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Writing Tests?

As many as you like. As long as a model supports skills, you can use Writing Tests with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Writing Tests AI skill free?

Yes. It is published on GitHub by spencerpauly under the CC0-1.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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