Unit Test Parameterized
CheckedProvides testing guidance and assistance for agent workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
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Run this in your project
terminal$ npx skills add giuseppe-trisciuoglio/developer-kit --skill unit-test-parameterized -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
giuseppe-trisciuoglio
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Install target
Live repository
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Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
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Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
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Pinned to a commit: passed
Scanned giuseppe-trisciuoglio/developer-kit at fe73fb33a0.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- fe73fb33a0
- Scanned
- 1 file, 179 lines
About this skill
What it does
This skill enables AI agents to generate parameterized unit tests, which are test cases that run the same logic with different input values. It helps ensure code correctness across a wide range of scenarios without writing repetitive test code.
When to use it
- You need to verify a function's behavior against multiple input-output pairs efficiently.
- You're working on a project where test coverage is critical, and manual test creation would be time-consuming.
- You want to automate the generation of unit tests for functions that handle various edge cases or data types.
Key capabilities
- Generates parameterized test cases based on provided inputs and expected outputs.
- Supports multiple testing frameworks (e.g., Jest, pytest).
- Reduces redundancy in test code by using dynamic input parameters.
Example prompts
- "Generate a parameterized unit test for a function that calculates the square of a number with inputs [2, 3, -1] and expected outputs [4, 9, 1]."
- "Create a Jest test suite for a validation function using these input-output pairs: { 'a': true }, { '': false }, { '123': true }."
- "Write parameterized unit tests in pytest format for a function that checks if a string is a palindrome."
Tips & gotchas
- Ensure your input-output pairs are well-defined and cover edge cases to maximize test effectiveness.
- Some testing frameworks may require additional setup or plugins to support parameterized tests.