> Generates Karma test runner configurations for browser-based JavaScript testing. Works with Jasmine, Mocha, or QUnit. Use when user mentions "Karma", "karma test runner", "browser-based JS test".
npx skills add https://github.com/LambdaTest/agent-skills --skill karma-skill
module.exports = function(config) {
config.set({
basePath: '',
frameworks: ['jasmine'],
files: [
'src/**/*.js',
'test/**/*.spec.js'
],
preprocessors: {
'src/**/*.js': ['coverage']
},
reporters: ['progress', 'coverage'],
coverageReporter: {
type: 'html',
dir: 'coverage/'
},
port: 9876,
colors: true,
logLevel: config.LOG_INFO,
autoWatch: true,
browsers: ['Chrome', 'Firefox'],
singleRun: false,
concurrency: Infinity,
// LambdaTest cloud browsers
customLaunchers: {
ChromeLT: {
base: 'WebDriver',
config: {
hostname: 'hub.lambdatest.com',
port: 80
},
browserName: 'Chrome',
version: 'latest',
name: 'Karma Test',
tunnel: true,
user: process.env.LT_USERNAME,
accessKey: process.env.LT_ACCESS_KEY
}
}
});
};
describe('StringUtils', () => {
it('should capitalize first letter', () => {
expect(StringUtils.capitalize('hello')).toBe('Hello');
});
it('should handle empty string', () => {
expect(StringUtils.capitalize('')).toBe('');
});
});
// karma.conf.js for Angular
frameworks: ['jasmine', '@angular-devkit/build-angular'],
plugins: [
require('karma-jasmine'),
require('karma-chrome-launcher'),
require('karma-coverage'),
require('@angular-devkit/build-angular/plugins/karma')
],
npm install karma karma-jasmine karma-chrome-launcher karma-coverage --save-devnpx karma start or npx karma start --single-runnpx karma init karma.conf.jsSee reference/playbook.md for production-grade patterns:
| Section | What You Get |
|---------|-------------|
| §1 Production Configuration | Full karma.conf.js with coverage thresholds, reporters, CI launchers |
| §2 Component Testing | Service mocking, DOM interaction, form validation patterns |
| §3 HTTP Service Testing | HttpTestingController, error handling, retry testing |
| §4 Directive & Pipe Testing | Host component pattern, custom pipes with edge cases |
| §5 RxJS & Async Patterns | debounceTime, switchMap cancellation, subscription cleanup |
| §6 Router & NgRx Testing | RouterTestingModule, MockStore, selector overrides |
| §7 LambdaTest Integration | Cloud browser configuration for cross-browser testing |
| §8 CI/CD Integration | GitHub Actions with coverage, test reporting |
| §9 Debugging Table | 12 common problems with causes and fixes |
| §10 Best Practices | 14-item checklist for production Angular testing |
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Use when implementing any feature or bugfix, before writing implementation code
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
Take lambdatest/karma-skill from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference npm, npx.
Without those the skill loads but fails at the first command.