perl-testing
by affaan-mperl-testing is a practical guide for writing, running, and improving Perl tests with Test2::V0, Test::More, prove, mocking, coverage, and TDD. Use the perl-testing skill for install guidance, usage patterns, migration help, and faster debugging of failing suites.
This skill scores 78/100, which means it is a solid listing candidate for directory users who need Perl testing guidance. The repository provides enough concrete workflow detail to trigger it correctly and follow a real TDD/testing process, though users should note there are no companion scripts or reference files to deepen operational guidance.
- Clear activation cases for writing, reviewing, migrating, and debugging Perl tests
- Substantive workflow content with RED-GREEN-REFACTOR examples and runnable Perl snippets
- Covers practical tooling users are likely to need: Test2::V0, Test::More, prove, mocking, and Devel::Cover
- No install command or support files, so adoption depends on the SKILL.md content alone
- Contains some placeholder/test signals and no external references, which limits trust signals for advanced or edge-case usage
Overview of perl-testing skill
The perl-testing skill is a practical guide for writing, running, and improving Perl tests with Test2::V0, Test::More, prove, mocking, coverage, and TDD. Use the perl-testing skill when you want more than a generic prompt: it helps you choose a test style, shape a test file, and avoid common Perl testing mistakes before they slow you down.
Who should use perl-testing
Best fit: Perl developers adding new code, migrating older tests, debugging failing suites, or deciding between Test::More and Test2::V0. It is especially useful when you need a repeatable testing workflow, not just a one-off test example.
What it helps you do
The perl-testing skill is built around the real job-to-be-done: get reliable tests in place quickly, with a clear path from red to green to refactor. It gives you patterns for assertions, test organization, runner usage, and coverage-oriented thinking without forcing you to read the whole repository first.
Key decision factors
Choose perl-testing if you care about practical Perl test setup, migration guidance, and TDD discipline. It is less useful if you need framework-specific app testing, non-Perl tooling, or a large reference library of edge cases; this is a focused skill, not a full testing encyclopedia.
How to Use perl-testing skill
Install perl-testing skill
Use the skill install flow for your directory, then load perl-testing by name. If your environment supports a command-based install, the baseline pattern is npx skills add affaan-m/everything-claude-code --skill perl-testing. After install, confirm the skill is available before asking for test generation or debugging help.
Start with the right input
The perl-testing skill works best when you provide: the module or script path, the test goal, current test framework, and any constraints like core-only dependencies or legacy code. A weak request says “write tests for this module”; a stronger one says “create t/unit/calculator.t for lib/Calculator.pm using Test2::V0, keep it core-friendly, and preserve current public behavior.”
Workflow that gets better results
Use it in a short loop: describe the code under test, ask for a test plan or first failing test, then ask for implementation or migration help. For perl-testing usage, be explicit about whether you want a new test file, a refactor of an existing suite, or a runner command such as prove -lv t/....
Files and details to read first
Start with SKILL.md, since it contains the activation guidance, TDD workflow, and test style examples. Then inspect the repository tree for any Perl project files that define test conventions in your own codebase; the skill itself is compact, so most value comes from applying its patterns to your local project structure.
perl-testing skill FAQ
Is perl-testing only for TDD?
No. TDD is a major part of the skill, but the perl-testing guide also supports reviewing coverage, fixing failing tests, and migrating older tests. If you are not working test-first, you can still use the skill for better assertions, suite structure, and runner usage.
How is perl-testing different from a normal prompt?
A normal prompt may give you a test file, but the perl-testing skill gives you a repeatable Perl testing workflow. That matters when you want consistent style, better input shaping, and fewer false starts around Test2::V0, Test::More, or prove.
Is perl-testing beginner-friendly?
Yes, if you already know the module or script you want to test. The skill is most helpful when you can name the behavior, expected output, and boundary cases; without that, any test generator will produce shallow coverage.
When should I not use perl-testing?
Skip it if your project is not Perl, if you need UI or end-to-end testing guidance outside Perl test tools, or if you only want a very small snippet with no workflow. It is designed for perl-testing for Skill Testing decisions where Perl test quality and install-time fit both matter.
How to Improve perl-testing skill
Give the skill concrete behavior targets
The biggest quality jump comes from specifying observable behavior, not implementation details. Say what should happen on success, failure, empty input, invalid input, or boundary values, and the perl-testing skill can turn that into stronger assertions and better subtests.
State framework and compatibility constraints
If you need Test2::V0 instead of Test::More, or you must stay compatible with older Perl versions, say so upfront. The skill handles perl-testing usage better when it knows whether you want modern syntax, core-only dependencies, or a migration path from legacy test files.
Ask for the next test, not the final suite
For best iteration, request one focused outcome: “write the first failing test,” “convert this file to Test2::V0,” or “add coverage for this edge case.” That keeps the output tight and makes it easier to verify before expanding the suite.
Review failures with the same context
When a test breaks, paste the failing assertion, the relevant module code, and the runner output from prove. That lets the skill diagnose whether the issue is a bad expectation, a missing mock, or an implementation bug, instead of guessing from a stack trace alone.