test-cases

cexll/myclaude · updated May 26, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/cexll/myclaude --skill test-cases
0 commentsdiscussion
summary

Comprehensive test case generation from PRD documents and user requirements with full coverage mapping.

  • Transforms product requirements into structured, executable test cases organized by category: functional, edge case, error handling, and state transition scenarios
  • Generates requirement-driven test cases with unique IDs, priority levels, preconditions, step-by-step actions, and measurable expected results
  • Includes traceability matrix linking each requirement to corresponding test c
skill.md

Test Cases Generator

This skill generates comprehensive, requirement-driven test cases from PRD documents or user requirements.

Purpose

Transform product requirements into structured test cases that ensure complete coverage of functionality, edge cases, error scenarios, and state transitions. The skill follows a pragmatic testing philosophy: test what matters, ensure every requirement has corresponding test coverage, and maintain test quality over quantity.

When to Use

Trigger this skill when:

  • User provides a PRD or requirements document and requests test cases
  • User asks to "generate test cases", "create test scenarios", or "plan QA"
  • User mentions testing coverage for a feature or requirement
  • User needs structured test documentation in markdown format

Core Testing Principles

Follow these principles when generating test cases:

  1. Requirement-driven, not implementation-driven - Test cases must map directly to requirements, not implementation details
  2. Complete coverage - Every requirement must have at least one test case covering:
    • Happy path (normal use cases)
    • Edge cases (boundary values, empty inputs, max limits)
    • Error handling (invalid inputs, failure scenarios, permission errors)
    • State transitions (if stateful, cover all valid state changes)
  3. Clear and actionable - Each test case must be executable by a QA engineer without ambiguity
  4. Traceable - Maintain clear mapping between requirements and test cases

Workflow

Step 1: Gather Requirements

First, identify the source of requirements:

  1. If user provides a file path to a PRD, read it using the Read tool
  2. If user describes requirements verbally, capture them
  3. If requirements are unclear or incomplete, use AskUserQuestion to clarify:
    • What are the core user flows?
    • What are the acceptance criteria?
    • What are the edge cases or error scenarios to consider?
    • Are there any state transitions or workflows?
    • What platforms or environments need testing?

Step 2: Extract Test Scenarios

Analyze requirements and extract test scenarios:

  1. Functional scenarios - Normal use cases from requirements
  2. Edge case scenarios - Boundary conditions, empty states, maximum limits
  3. Error scenarios - Invalid inputs, permission failures, network errors
  4. State transition scenarios - If the feature involves state, map all transitions

For each requirement, identify:

  • Preconditions (what must be true before testing)
  • Test steps (actions to perform)
  • Expected results (what should happen)
  • Postconditions (state after test completes)

Step 3: Structure Test Cases

Organize test cases using this structure:

# Test Cases: [Feature Name]

## Overview
- **Feature**: [Feature name]
- **Requirements Source**: [PRD file path or description]
- **Test Coverage**: [Summary of what's covered]
- **Last Updated**: [Date]

## Test Case Categories

### 1. Functional Tests
Test cases covering normal user flows and core functionality.

#### TC-F-001: [Test Case Title]
- **Requirement**: [Link to specific requirement]
- **Priority**: [High/Medium/Low]
- **Preconditions**:
  - [Condition 1]
  - [Condition 2]
- **Test Steps**:
  1. [Step 1]
  2. [Step 2]
  3. [Step 3]
- **Expected Results**:
  - [Expected result 1]
  - [Expected result 2]
- **Postconditions**: [State after test]

### 2. Edge Case Tests
Test cases covering boundary conditions and unusual inputs.

#### TC-E-001: [Test Case Title]
[Same structure as above]

### 3. Error Handling Tests
Test cases covering error scenarios and failure modes.

#### TC-ERR-001: [Test Case Title]
[Same structure as above]

### 4. State Transition Tests
Test cases covering state changes and workflows (if applicable).

#### TC-ST-001: [Test Case Title]
[Same structure as above]

## Test Coverage Matrix

| Requirement ID | Test Cases | Coverage Status |
|---------------|------------|-----------------|
| REQ-001 | TC-F-001, TC-E-001 | ✓ Complete |
| REQ-002 | TC-F-002 | ⚠ Partial |

## Notes
- [Any additional testing considerations]
- [Known limitations or assumptions]

Step 4: Generate Test Cases

For each identified scenario, create a detailed test case following the structure above. Ensure:

  1. Unique IDs - Use prefixes: TC-F (functional), TC-E (edge), TC-ERR (error), TC-ST (state)
  2. Clear titles - Descriptive titles that explain what's being tested
  3. Requirement traceability - Link each test case to specific requirements
  4. Priority assignment - Mark critical paths as High priority
  5. Executable steps - Steps must be clear enough for any QA engineer to execute
  6. Measurable results - Expected results must be verifiable

Step 5: Validate Coverage

Before finalizing, verify:

  1. Every requirement has at least one test case
  2. Happy path is covered for all user flows
  3. Edge cases are identified for boundary conditions
  4. Error scenarios are covered for failure modes
  5. State transitions are tested if feature is stateful

If coverage gaps exist, generate additional test cases.

Step 6: Output Test Cases

Write the test cases to tests/<name>-test-cases.md where <name> is derived from:

  • The feature name from the PRD
  • The user's specified name
  • A sanitized version of the requirement title

Use the Write tool to create the file with the structured test cases.

Step 7: Summary

After generating test cases, provide a brief summary in Chinese:

  • Total number of test cases generated
  • Coverage breakdown (functional, edge, error, state)
  • Any assumptions made or areas needing clarification
  • File path where test cases were saved

Quality Checklist

Before finalizing test cases, verify:

  • Every requirement has corresponding test cases
  • Happy path scenarios are covered
  • Edge cases include boundary values, empty inputs, max limits
  • Error handling covers invalid inputs and failure scenarios
  • State transitions are tested if applicable
  • Test case IDs are unique and follow naming convention
  • Test steps are clear and executable
  • Expected results are measurable and verifiable
  • Coverage matrix shows complete coverage
  • File is written to tests/-test-cases.md

Example Usage

User: "Generate test cases for the user authentication feature in docs/auth-prd.md"

Process:

  1. Read docs/auth-prd.md
  2. Extract requirements: login, logout, password reset, session management
  3. Identify scenarios: successful login, invalid credentials, expired session, etc.
  4. Generate test cases covering all scenarios
  5. Write to tests/auth-test-cases.md
  6. Summarize coverage in Chinese

References

For detailed testing methodologies and best practices, see:

  • references/testing-principles.md - Core testing principles and patterns
how to use test-cases

How to use test-cases 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 test-cases
2

Execute installation command

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

$npx skills add https://github.com/cexll/myclaude --skill test-cases

The skills CLI fetches test-cases from GitHub repository cexll/myclaude 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/test-cases

Reload or restart Cursor to activate test-cases. Access the skill through slash commands (e.g., /test-cases) 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.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

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

4.525 reviews
  • Fatima Ramirez· Dec 24, 2024

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

  • Sakshi Patil· Dec 20, 2024

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

  • Yash Thakker· Dec 12, 2024

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

  • Aisha Srinivasan· Dec 12, 2024

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

  • Chaitanya Patil· Nov 3, 2024

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

  • Oshnikdeep· Oct 22, 2024

    test-cases fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Pratham Ware· Sep 13, 2024

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

  • Diego Ghosh· Sep 13, 2024

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

  • Luis Choi· Sep 1, 2024

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

  • Kabir Perez· Aug 20, 2024

    test-cases has been reliable in day-to-day use. Documentation quality is above average for community skills.

showing 1-10 of 25

1 / 3