react18-enzyme-to-rtl
$
npx mdskill add github/awesome-copilot/react18-enzyme-to-rtlMigrate brittle Enzyme tests to robust React Testing Library patterns.
- Replaces internal state checks with user-visible behavior assertions.
- Requires React 18 environments and React Testing Library dependencies.
- Analyzes test files for Enzyme imports and adapter configurations.
- Outputs rewritten tests that assert observable UI interactions.
SKILL.md
.github/skills/react18-enzyme-to-rtlView on GitHub ↗
---
name: react18-enzyme-to-rtl
description: 'Provides exact Enzyme → React Testing Library migration patterns for React 18 upgrades. Use this skill whenever Enzyme tests need to be rewritten - shallow, mount, wrapper.find(), wrapper.simulate(), wrapper.prop(), wrapper.state(), wrapper.instance(), Enzyme configure/Adapter calls, or any test file that imports from enzyme. This skill covers the full API mapping and the philosophy shift from implementation testing to behavior testing. Always read this skill before rewriting Enzyme tests - do not translate Enzyme APIs 1:1, that produces brittle RTL tests.'
---
# React 18 Enzyme → RTL Migration
Enzyme has no React 18 adapter and no React 18 support path. All Enzyme tests must be rewritten using React Testing Library.
## The Philosophy Shift (Read This First)
Enzyme tests implementation. RTL tests behavior.
```jsx
// Enzyme: tests that the component has the right internal state
expect(wrapper.state('count')).toBe(3);
expect(wrapper.instance().handleClick).toBeDefined();
expect(wrapper.find('Button').prop('disabled')).toBe(true);
// RTL: tests what the user actually sees and can do
expect(screen.getByText('Count: 3')).toBeInTheDocument();
expect(screen.getByRole('button', { name: /submit/i })).toBeDisabled();
```
This is not a 1:1 translation. Enzyme tests that verify internal state or instance methods don't have RTL equivalents - because RTL intentionally doesn't expose internals. **Rewrite the test to assert the visible outcome instead.**
## API Map
For complete before/after code for each Enzyme API, read:
- **`references/enzyme-api-map.md`** - full mapping: shallow, mount, find, simulate, prop, state, instance, configure
- **`references/async-patterns.md`** - waitFor, findBy, act(), Apollo MockedProvider, loading states, error states
## Core Rewrite Template
```jsx
// Every Enzyme test rewrites to this shape:
import { render, screen, fireEvent, waitFor } from '@testing-library/react';
import userEvent from '@testing-library/user-event';
import MyComponent from './MyComponent';
describe('MyComponent', () => {
it('does the thing', async () => {
// 1. Render (replaces shallow/mount)
render(<MyComponent prop="value" />);
// 2. Query (replaces wrapper.find())
const button = screen.getByRole('button', { name: /submit/i });
// 3. Interact (replaces simulate())
await userEvent.setup().click(button);
// 4. Assert on visible output (replaces wrapper.state() / wrapper.prop())
expect(screen.getByText('Submitted!')).toBeInTheDocument();
});
});
```
## RTL Query Priority (use in this order)
1. `getByRole` - matches accessible roles (button, textbox, heading, checkbox, etc.)
2. `getByLabelText` - form fields linked to labels
3. `getByPlaceholderText` - input placeholders
4. `getByText` - visible text content
5. `getByDisplayValue` - current value of input/select/textarea
6. `getByAltText` - image alt text
7. `getByTitle` - title attribute
8. `getByTestId` - `data-testid` attribute (last resort)
Prefer `getByRole` over `getByTestId`. It tests accessibility too.
## Wrapping with Providers
```jsx
// Enzyme with context:
const wrapper = mount(
<ApolloProvider client={client}>
<ThemeProvider theme={theme}>
<MyComponent />
</ThemeProvider>
</ApolloProvider>
);
// RTL equivalent (use your project's customRender or wrap inline):
import { render } from '@testing-library/react';
render(
<MockedProvider mocks={mocks} addTypename={false}>
<ThemeProvider theme={theme}>
<MyComponent />
</ThemeProvider>
</MockedProvider>
);
// Or use the project's customRender helper if it wraps providers
```
More from github/awesome-copilot
- acquire-codebase-knowledgeUse this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
- acreadiness-assessRun the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.
- acreadiness-generate-instructionsGenerate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.
- acreadiness-policyHelp the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.
- add-educational-comments'Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.'
- adobe-illustrator-scriptingWrite, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
- agent-governance|
- agent-owasp-compliance|
- agent-supply-chain|
- agentic-eval|