unit-test-utility-methods

giuseppe-trisciuoglio/developer-kit · updated Apr 8, 2026

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$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill unit-test-utility-methods
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summary

JUnit 5 patterns for testing utility classes, static methods, and pure functions without mocking complexity.

  • Covers testing strategies for string manipulation, calculations, collections, data validation, and format utilities with edge case and boundary condition handling
  • Uses AssertJ assertions for readable test code and @ParameterizedTest for testing multiple similar scenarios efficiently
  • Emphasizes null handling, empty inputs, extreme values, and floating-point precision as critica
skill.md

Unit Testing Utility Classes and Static Methods

Overview

This skill generates tests for utility classes with static helper methods and pure functions. It provides patterns for testing null handling, edge cases, boundary conditions, and common utilities like string manipulation, calculations, data validation, and collections. Pure functions require no mocking.

When to Use

Use this skill when:

  • Writing tests for utility/helper classes with static methods
  • Testing pure functions with no state or side effects
  • Testing string manipulation, formatting, or transformation utilities
  • Testing calculation, conversion, or math helper functions
  • Testing data validation and formatter utilities
  • Verifying null/empty input handling in utility code
  • Testing collections or array helper methods

Instructions

  1. Create test class: Name it after the utility (e.g., StringUtilsTest)
  2. Test happy path: Valid inputs with expected outputs
  3. Test edge cases: null, empty, whitespace, single elements
  4. Test boundary conditions: max/min values, large numbers, precision
  5. Use descriptive names: shouldCapitalizeFirstLetter instead of test1
  6. Use AssertJ: For readable, chainable assertions
  7. Use @ParameterizedTest: For multiple similar inputs (see references/parameterized-tests.md)
  8. Avoid mocking: Pure utilities need no mocks

Examples

Basic Static Utility Test

import org.junit.jupiter.api.Test;
import static org.assertj.core.api.Assertions.*;

class StringUtilsTest {

    @Test
    void shouldCapitalizeFirstLetter() {
        assertThat(StringUtils.capitalize("hello")).isEqualTo("Hello");
    }

    @Test
    void shouldReturnNullForNullInput() {
        assertThat(StringUtils.capitalize(null)).isNull();
    }

    @Test
    void shouldHandleEmptyString() {
        assertThat(StringUtils.capitalize("")).isEmpty();
    }

    @Test
    void shouldHandleSingleCharacter() {
        assertThat(StringUtils.capitalize("a")).isEqualTo("A");
    }
}

Comprehensive Example: isEmpty Implementation

// Input: public static boolean isEmpty(String str)
//   { return str == null || str.trim().isEmpty(); }

class StringUtilsTest {

    @Test
    void shouldReturnTrueForNullString() {
        assertThat(StringUtils.isEmpty(null)).isTrue();
    }

    @Test
    void shouldReturnTrueForEmptyString() {
        assertThat(StringUtils.isEmpty("")).isTrue();
    }

    @Test
    void shouldReturnTrueForWhitespaceOnly() {
        assertThat(StringUtils.isEmpty("   ")).isTrue();
    }

    @Test
    void shouldReturnFalseForNonEmptyString() {
        assertThat(StringUtils.isEmpty("hello")).isFalse();
    }
}

Null-Safe Utility

class NullSafeUtilsTest {

    @Test
    void shouldReturnDefaultWhenNull() {
        assertThat(NullSafeUtils.getOrDefault(null, "default")).isEqualTo("default");
    }

    @Test
    void shouldReturnValueWhenNotNull() {
        assertThat(NullSafeUtils.getOrDefault("value", "default")).isEqualTo("value");
    }

    @Test
    void shouldReturnFalseWhenBlank() {
        assertThat(NullSafeUtils.isNotBlank(null)).isFalse();
        assertThat(NullSafeUtils.isNotBlank("   ")).isFalse();
    }
}

Math/Calculation Utility

class MathUtilsTest {

    @Test
    void shouldCalculatePercentage() {
        assertThat(MathUtils.percentage(25, 100)).isEqualTo(25.0);
    }

    @Test
    void shouldHandleZeroDivisor() {
        assertThat(MathUtils.percentage(50, 0)).isZero();
    }

    @Test
    void shouldRoundToDecimalPlaces() {
        assertThat(MathUtils.round(3.14159, 2)).isEqualTo(3.14);
    }

    @Test
    void shouldHandleFloatingPointWithTolerance() {
        assertThat(MathUtils.multiply(0.1, 0.2))
            .isCloseTo(0.02, within(0.0001));
    }
}

Collection Utility

class CollectionUtilsTest {

    @Test
    void shouldFilterList() {
        List<Integer> result = CollectionUtils.filter(List.of(1, 2, 3, 4), n -> n % 2 
how to use unit-test-utility-methods

How to use unit-test-utility-methods on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add unit-test-utility-methods
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill unit-test-utility-methods

The skills CLI fetches unit-test-utility-methods from GitHub repository giuseppe-trisciuoglio/developer-kit and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/unit-test-utility-methods

Reload or restart Cursor to activate unit-test-utility-methods. Access the skill through slash commands (e.g., /unit-test-utility-methods) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.563 reviews
  • William Liu· Dec 28, 2024

    Registry listing for unit-test-utility-methods matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Chen Jackson· Dec 20, 2024

    unit-test-utility-methods is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ira Gupta· Dec 16, 2024

    Solid pick for teams standardizing on skills: unit-test-utility-methods is focused, and the summary matches what you get after install.

  • Chen Harris· Dec 16, 2024

    Keeps context tight: unit-test-utility-methods is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Henry Wang· Dec 12, 2024

    Useful defaults in unit-test-utility-methods — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Aanya Shah· Nov 23, 2024

    Useful defaults in unit-test-utility-methods — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ava Robinson· Nov 19, 2024

    Keeps context tight: unit-test-utility-methods is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Diya Tandon· Nov 15, 2024

    I recommend unit-test-utility-methods for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Maya Nasser· Nov 11, 2024

    unit-test-utility-methods reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Henry Perez· Nov 7, 2024

    We added unit-test-utility-methods from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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