Capybara Skill logo

Capybara Skill

Organization
LambdaTest
capybara-skill

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

Overview

PublisherLambdaTest
Repositoryagent-skills
Skill namecapybara-skill
Stars
377
Forks
74
Bundled files
3
LicenseMIT
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Capybara Skill 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/LambdaTest/agent-skills/tree/main/capybara-skill
  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/LambdaTest/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/capybara-skill .claude/skills/capybara-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Capybara Skill 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 Capybara Skill 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 Capybara Skill 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.

Capybara Automation Skill

Core Patterns

Basic Test (RSpec)

ruby
require 'capybara/rspec'

RSpec.describe 'Login', type: :feature do
  it 'logs in with valid credentials' do
    visit '/login'
    fill_in 'Email', with: 'user@test.com'
    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: 'wrong@test.com'
    fill_in 'Password', with: 'wrong'
    click_button 'Login'
    expect(page).to have_content('Invalid credentials')
  end
end

DSL

ruby
# 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

ruby
within('#login-form') do
  fill_in 'Email', with: 'user@test.com'
  click_button 'Login'
end

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

TestMu AI Cloud

ruby
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:

SectionWhat You Get
§1 Project SetupGemfile, Capybara config, driver registration, LambdaTest
§2 Feature SpecsLogin flows, JavaScript interactions, modals, async content
§3 Page ObjectsSitePrism pages with elements/sections, usage in specs
§4 API TestingRequest specs with auth headers, JSON assertions
§5 Database CleaningDatabaseCleaner transaction/truncation strategies
§6 Matchers & HelpersCustom helpers, sign_in, expect_flash
§7 CI/CD IntegrationGitHub Actions with Postgres, Redis, Chrome
§8 Debugging Table12 common problems with causes and fixes
§9 Best Practices14-item Capybara testing checklist

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 Capybara Skill AI skill do?

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

Why use Capybara Skill on TypingMind?

Because you install it once and use it with any model. Capybara Skill 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 Capybara Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LambdaTest/agent-skills/tree/main/capybara-skill. 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 Capybara Skill?

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 Capybara Skill?

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

Is the Capybara Skill AI skill free?

Yes. It is published on GitHub by LambdaTest under the MIT license. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇