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Test Like Corbin

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crutchcorn
test-like-corbin

Choose, write, and review tests using Corbin Crutchley's testing preferences. Use when deciding whether a change needs tests, adding regression coverage, choosing test boundaries, or setting up a test suite. Favor user-centered integration tests and narrow tests for complex internal logic; avoid routine coverage expansion for its own sake.

Overview

Publishercrutchcorn
Repositoryskills
Skill nametest-like-corbin
Stars
56
Forks
0
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

    Published by crutchcorn on GitHub. Read the source before you install it.

Installation

Install the Test Like Corbin 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/crutchcorn/skills/tree/main/test-like-corbin
  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/crutchcorn/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/test-like-corbin .claude/skills/test-like-corbin
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Test Like Corbin 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 Test Like Corbin 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 Test Like Corbin 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.

Test Like Corbin

Protect behavior that matters to users without making implementation details expensive to change. Apply these preferences within the requested work; do not migrate an existing test suite just to match a preferred tool.

Decide whether a new test earns its place

Write a new test only when it addresses a real user-facing problem, prevents a particularly nasty internal regression, or the user specifically requests tests.

  • Do not add tests merely because a file changed or a coverage metric is low.
  • Do not test interfaces expected to change soon. Prefer a stable user outcome around them when one exists.
  • For complex internal behavior, identify the meaningful invariant or failure before choosing a narrow unit test.
  • Small, reversible changes do not automatically need new tests. Run relevant existing checks and inspect the result when those provide sufficient confidence.
  • Do not introduce screenshot tests unless the user specifically requests them.

For boundary choices or examples of coverage to add or skip, read references/test-decisions.md.

Choose the smallest useful integration

Prefer integration tests over end-to-end tests, including integration tests that run in a browser. Use end-to-end coverage when the behavior genuinely depends on connecting the deployed or full-system pieces.

  • For UI behavior, render the relevant page or flow and interact as a user would: navigate, fill labeled controls, submit, and observe the result. Assert visible outcomes and accessible behavior rather than component markup, CSS classes, or internal state.
  • For backend behavior, exercise the application boundary with the real participating code and assert the response or meaningful persisted effects.
  • Keep unit tests narrowly scoped to particularly complex logic or internal regressions whose important cases would be difficult to exercise clearly through an integration test.
  • Choose cases that would catch the actual problem. Avoid asserting a restatement of the implementation or every intermediate helper call.

A browser test is not automatically an end-to-end test: a page using the real UI and application code with HTTP intercepted at its boundary can be an integration test.

Do not test UI in headless or logic tests

Keep headless and logic tests focused on user-facing behavior. Use the accessibility tree and user-facing text as finders: roles, accessible names, labels, and visible text. Use attributes only in rare cases when those finders cannot reliably identify the relevant element; this exception never permits class or style checks.

Never assert the presence, absence, or value of CSS classes, inline styles, or computed styles as a source of truth for UI correctness. These assertions couple tests to implementation details without validating the rendered appearance. Assert the observable behavior instead, such as an accessible error message appearing after an invalid submission.

Validate styling through screenshot testing when automated visual coverage is warranted. Reserve it primarily for stabilized design-system components whose appearance is an established contract. Avoid screenshot coverage for fast-evolving product UI by default; use visual inspection and tests of stable user outcomes there.

Make cases readable

Prefer explicit, named test cases over loops that hide the scenarios being exercised. A little duplication is useful when it lets readers understand a case and its failure without tracing shared control flow. Use parameterized cases when a concise table makes equivalent inputs and expected outcomes clearer; do not abstract tests merely to remove repeated lines.

Keep real behavior inside the boundary

Avoid mocks wherever practical. If isolation requires a substitute, put it at a genuine external boundary.

  • Use MSW for intercepted fetch requests and openapi-msw when an OpenAPI contract is available. Keep application request handling and consumption real.
  • Use a disposable database with real queries rather than mocking repositories, ORM methods, or query builders. Ensure the substitute preserves the database behavior the test is meant to cover.
  • Do not mock child components, internal hooks, application services, or helpers merely to make a test easier to write.
  • Treat every boundary substitution as a limit on what the test demonstrates. If the bug lies across that boundary, include the real dependency in the test instead.

Use the preferred tooling when choosing a setup

  • Use Vitest for JavaScript/TypeScript tests on both frontend and backend.
  • Use Vitest Browser Mode with Playwright for frontend tests.
  • Use the project's existing setup when extending it; changing runners or adding a new testing layer is a separate scope decision.
  • Before writing version-sensitive configuration, identify the installed or intended versions and consult current official documentation, including the Vitest Browser Mode setup guide for frontend setup. Make this a prerequisite, not a fallback after configuration fails. When tools are unavailable, explicitly include documentation verification before applying the setup in your plan and label any configuration example as unverified.

Verify the coverage

For a regression, confirm that the new test exposes the original failure when practical, then passes with the fix. Run the relevant existing tests and required checks. In the handoff, state the protected behavior, what ran, and any material boundary the test does not cover. If no new test is warranted, briefly explain why when that decision is relevant to the request.

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 Test Like Corbin AI skill do?

Choose, write, and review tests using Corbin Crutchley's testing preferences. Use when deciding whether a change needs tests, adding regression coverage, choosing test boundaries, or setting up a test suite. Favor user-centered integration tests and narrow tests for complex internal logic; avoid routine coverage expansion for its own sake.

Why use Test Like Corbin on TypingMind?

Because you install it once and use it with any model. Test Like Corbin 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 Test Like Corbin in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/crutchcorn/skills/tree/main/test-like-corbin. 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 Test Like Corbin?

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 Test Like Corbin?

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

Is the Test Like Corbin AI skill free?

It is published on GitHub by crutchcorn. Check the repository for licensing terms. 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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