mcpbeat Sign in

Capybara Skill

> Generates Capybara E2E tests in Ruby with RSpec integration. Acceptance testing DSL for web apps. Use when user mentions "Capybara", "visit", "Ruby acceptance test", "fill_in", "click_button", "have_content".

5k tokens
context cost
the whole folder, loaded on every use
4
files
instructions only
0
copies elsewhere
how many repositories repackaged it
343
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/LambdaTest/agent-skills --skill capybara-skill

The instruction itself

10 sections, as written by the author

Capybara Automation Skill

Core Patterns

Basic Test (RSpec)

require 'capybara/rspec'

RSpec.describe 'Login', type: :feature do
  it 'logs in with valid credentials' do
    visit '/login'
    fill_in 'Email', with: '[email protected]'
    fill_in 'Password', with: 'password123'
    click_button 'Login'
    expect(page).to have_content('Dashboard')
    expect(page).to have_current_path('/dashboard')
  end

  it 'shows error for invalid credentials' do
    visit '/login'
    fill_in 'Email', with: '[email protected]'
    fill_in 'Password', with: 'wrong'
    click_button 'Login'
    expect(page).to have_content('Invalid credentials')
  end
end

DSL

# Navigation
visit '/path'
go_back
go_forward

# Interacting
fill_in 'Label or Name', with: 'text'
choose 'Radio Label'
check 'Checkbox Label'
uncheck 'Checkbox Label'
select 'Option', from: 'Select Label'
attach_file 'Upload', '/path/to/file'
click_button 'Submit'
click_link 'More Info'
click_on 'Button or Link'

# Finding
find('#id')
find('.class')
find('[data-testid="x"]')
find(:xpath, '//div')
all('.items').count

# Matchers
expect(page).to have_content('text')
expect(page).to have_selector('#element')
expect(page).to have_css('.class')
expect(page).to have_button('Submit')
expect(page).to have_field('Email')
expect(page).to have_link('Click Here')
expect(page).to have_current_path('/expected')
expect(page).to have_no_content('error')

Within Scope

within('#login-form') do
  fill_in 'Email', with: '[email protected]'
  click_button 'Login'
end

within_table('users') do
  expect(page).to have_content('Alice')
end

TestMu AI Cloud

Capybara.register_driver :lambdatest do |app|
  caps = Selenium::WebDriver::Remote::Capabilities.new(
    browserName: 'chrome',
    'LT:Options' => {
      user: ENV['LT_USERNAME'], accessKey: ENV['LT_ACCESS_KEY'],
      build: 'Capybara Build', name: 'Login Test',
      platform: 'Windows 11', video: true
    }
  )
  Capybara::Selenium::Driver.new(app,
    browser: :remote,
    url: 'https://hub.lambdatest.com/wd/hub',
    capabilities: caps)
end
Capybara.default_driver = :lambdatest

Setup: gem 'capybara' + gem 'selenium-webdriver' in Gemfile

Run: bundle exec rspec spec/features/

Cloud (TestMu AI)

For remote browser execution, see reference/cloud-integration.md and shared/testmu-cloud-reference.md.

Deep Patterns

See reference/playbook.md for production-grade patterns:

| Section | What You Get |

|---------|-------------|

| §1 Project Setup | Gemfile, Capybara config, driver registration, LambdaTest |

| §2 Feature Specs | Login flows, JavaScript interactions, modals, async content |

| §3 Page Objects | SitePrism pages with elements/sections, usage in specs |

| §4 API Testing | Request specs with auth headers, JSON assertions |

| §5 Database Cleaning | DatabaseCleaner transaction/truncation strategies |

| §6 Matchers & Helpers | Custom helpers, sign_in, expect_flash |

| §7 CI/CD Integration | GitHub Actions with Postgres, Redis, Chrome |

| §8 Debugging Table | 12 common problems with causes and fixes |

| §9 Best Practices | 14-item Capybara testing checklist |

Other skills for the same job

different authors, same section of the catalogue
Webapp Testing
by anthropics
vendor ×12

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.

6k tokens scripts
Finishing A Development Branch
by ZhanlinCui
×7

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

1k tokens
Test Driven Development
by w95
×7

Use when implementing any feature or bugfix, before writing implementation code

2k tokens
Systematic Debugging
by ratacat
×7

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

10k tokens scripts
Verification Before Completion
by ZhanlinCui
×6

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

1k tokens
Backtest Expert
by BaggaT236
×3

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.

15k tokens scripts
Adaptyv
by christophacham
×3

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.

16k tokens
Aeon
by christophacham
×3

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.

19k tokens

How to use it

Copy the folder

Take lambdatest/capybara-skill from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

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.