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Generate Test Cases

Organization
mavka-ai
generate-test-cases

Use when the user asks to analyze code for test coverage, list what test cases are needed, or review testing strategy — WITHOUT generating actual test code.

Overview

Publishermavka-ai
Repositoryunit-tests-skills
Skill namegenerate-test-cases
Stars
70
Forks
10
Bundled files
14
LicenseMIT
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.

  • 14 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by mavka-ai on GitHub. Read the source before you install it.

Installation

Install the Generate Test Cases 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/mavka-ai/unit-tests-skills/tree/main/skills/generate-test-cases
  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/mavka-ai/unit-tests-skills.git /tmp/unit-tests-skills
mkdir -p .claude/skills
cp -r /tmp/unit-tests-skills/skills/generate-test-cases .claude/skills/generate-test-cases
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Generate Test Cases 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 Generate Test Cases 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 Generate Test Cases 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.

Generate Test Cases Skill

You will analyze code and generate a list of test cases that should be written for a given method/class. This skill outputs test case descriptions only — it does NOT generate actual test code.

Target to analyze: $ARGUMENTS

Quality Standards

  • Take your time to analyze the code thoroughly before listing test cases.
  • Quality is more important than speed — read all relevant source files and rules carefully.
  • Do not skip reading the dependency classes. Understanding the full context produces better test cases.

Instructions

Step 1: Read Rules and Analyze Context

  1. Read the rules from ./rules/general/ directory (see Rules Reference below)
  2. Read the target source file/class/method specified above
  3. Read dependencies: Follow imports to read DTOs, entities, enums, and other types referenced by the target (as specified in code-context-analysis rule)
  4. Check for existing tests: Search for existing test classes covering this target (as specified in existing-test-awareness rule) — if found, read it fully and focus only on behaviors not yet covered

Step 2: Generate Test Cases

  1. Analyze ALL code branches, including:
    • Success paths
    • Error/exception paths
    • Validation logic
    • Private/protected methods called by the target
    • Security annotations (if present)
  2. Apply the INCLUDE/EXCLUDE rules strictly
  3. Output the list of test cases in the specified format
  4. Stop at the descriptions — the list itself is this skill's deliverable
  5. Close by naming the next step: generate-tests <target> takes this list as its plan and writes the code from it. Hand the list forward as it stands — the user can review or amend it first

Output Format

For each test case, provide:

## Test Cases for {ClassName}.{methodName}

### 1. {testMethodName}
- **Given:** {preconditions/input state}
- **When:** {action being tested}
- **Then:** {expected outcome}
- **Code branch:** {which code path this covers}

### 2. {testMethodName}
...

Naming Convention

Test method name format: {testedMethod}_{givenState}_{expectedOutcome}

Examples:

  • calculateTotal_validProducts_returnsSum
  • calculateTotal_emptyList_throwsIllegalArgumentException
  • getUser_unauthorized_returns401
  • getUser_forbidden_returns403

Troubleshooting

Target file not found

If the specified target does not exist, inform the user with the exact path you searched and ask for clarification.

Unsupported language

If the target code is in a language without specific rules, apply only the general rules and inform the user.

All behaviors already covered

If the existing test class already covers all identified behaviors, output a summary stating that coverage is complete. List what is already tested. Do not invent additional test cases to justify the analysis.


Example

User says: "/generate-test-cases src/main/java/com/example/service/OrderService.java"

Step 1: Agent reads rules, reads OrderService.java, reads OrderRequest.java,
        Order.java (dependencies), checks for existing OrderServiceTest.java.

Step 2: Agent outputs:

## Test Cases for OrderService.createOrder

### 1. createOrder_validRequest_savesAndReturnsOrder
- **Given:** Valid OrderRequest with productId "product-1" and quantity 5
- **When:** createOrder is called
- **Then:** Order is saved to repository and returned with generated ID
- **Code branch:** Success path

### 2. createOrder_nullProductId_throwsIllegalArgumentException
- **Given:** OrderRequest with null productId
- **When:** createOrder is called
- **Then:** IllegalArgumentException is thrown
- **Code branch:** Validation — productId null check
...

Rules Reference

CRITICAL: You MUST read and apply all rules from the following files before generating test cases:

Maintenance note: General rules in ./rules/general/ are shared with the generate-tests skill (which has copies in rules/tests/general/). When updating rules, keep both locations in sync.

General Rules (Always Apply)

  • ./rules/general/test-case-generation-strategy.md - INCLUDE/EXCLUDE criteria for test cases
  • ./rules/general/naming-conventions.md - Test naming format
  • ./rules/general/general-principles.md - Core testing principles
  • ./rules/general/what-makes-good-test.md - Clarity, Completeness, Conciseness, Resilience
  • ./rules/general/keep-tests-focused.md - One scenario per test
  • ./rules/general/test-behaviors-not-methods.md - Separate tests for behaviors
  • ./rules/general/prefer-public-apis.md - Test public APIs over private methods
  • ./rules/general/cleanly-create-test-data.md - Use helpers and builders for test data
  • ./rules/general/keep-cause-effect-clear.md - Effects follow causes immediately
  • ./rules/general/no-logic-in-tests.md - KISS > DRY, avoid logic in assertions
  • ./rules/general/technology-stack-detection.md - Detect language and framework
  • ./rules/general/verify-relevant-arguments-only.md - Only verify relevant mock arguments
  • ./rules/general/existing-test-awareness.md - Check for existing tests, avoid duplicates
  • ./rules/general/code-context-analysis.md - Read dependencies before analyzing

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Generate Test Cases AI skill do?

Use when the user asks to analyze code for test coverage, list what test cases are needed, or review testing strategy — WITHOUT generating actual test code.

Why use Generate Test Cases on TypingMind?

Because you install it once and use it with any model. Generate Test Cases 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 Generate Test Cases in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mavka-ai/unit-tests-skills/tree/main/skills/generate-test-cases. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Generate Test Cases?

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 Generate Test Cases?

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

Is the Generate Test Cases AI skill free?

Yes. It is published on GitHub by mavka-ai under the MIT 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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