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Specflow Skill

Organization
LambdaTest
specflow-skill

Generates SpecFlow BDD tests for C#/.NET with Gherkin feature files and step bindings. Use when user mentions "SpecFlow", "C# BDD", ".NET Gherkin", "[Binding]", "[Given]/[When]/[Then]". Triggers on: "SpecFlow", "C# BDD", ".NET BDD", "step bindings", "[Binding]".

Overview

PublisherLambdaTest
Repositoryagent-skills
Skill namespecflow-skill
Stars
377
Forks
74
Bundled files
2
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.

  • 2 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 Specflow 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/specflow-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/specflow-skill .claude/skills/specflow-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Specflow 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 Specflow 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 Specflow 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.

SpecFlow BDD Skill

Core Patterns

Feature File (Features/Login.feature)

gherkin
Feature: User Login

  Scenario: Successful login
    Given I am on the login page
    When I enter "user@test.com" as email
    And I enter "password123" as password
    And I click the login button
    Then I should see the dashboard
    And the welcome message should contain "Welcome"

  Scenario: Invalid credentials
    Given I am on the login page
    When I enter "wrong@test.com" as email
    And I enter "wrong" as password
    And I click the login button
    Then I should see error "Invalid credentials"

  Scenario Outline: Login with various users
    Given I am on the login page
    When I enter "<email>" as email
    And I enter "<password>" as password
    And I click the login button
    Then I should see "<result>"

    Examples:
      | email          | password | result    |
      | admin@test.com | admin123 | Dashboard |
      | user@test.com  | pass123  | Dashboard |
      | bad@test.com   | wrong    | Error     |

Step Bindings

csharp
using TechTalk.SpecFlow;
using NUnit.Framework;

[Binding]
public class LoginSteps
{
    private readonly ScenarioContext _context;
    private IWebDriver _driver;

    public LoginSteps(ScenarioContext context)
    {
        _context = context;
        _driver = (IWebDriver)_context["driver"];
    }

    [Given(@"I am on the login page")]
    public void GivenIAmOnTheLoginPage()
    {
        _driver.Navigate().GoTo("http://localhost:3000/login");
    }

    [When(@"I enter ""(.*)"" as email")]
    public void WhenIEnterEmail(string email)
    {
        _driver.FindElement(By.Id("email")).SendKeys(email);
    }

    [When(@"I enter ""(.*)"" as password")]
    public void WhenIEnterPassword(string password)
    {
        _driver.FindElement(By.Id("password")).SendKeys(password);
    }

    [When(@"I click the login button")]
    public void WhenIClickLogin()
    {
        _driver.FindElement(By.CssSelector("button[type='submit']")).Click();
    }

    [Then(@"I should see the dashboard")]
    public void ThenIShouldSeeDashboard()
    {
        Assert.That(_driver.Url, Does.Contain("/dashboard"));
    }

    [Then(@"I should see error ""(.*)""")]
    public void ThenIShouldSeeError(string error)
    {
        var element = _driver.FindElement(By.CssSelector(".error"));
        Assert.That(element.Text, Does.Contain(error));
    }
}

Hooks

csharp
[Binding]
public class Hooks
{
    private readonly ScenarioContext _context;

    public Hooks(ScenarioContext context) { _context = context; }

    [BeforeScenario]
    public void BeforeScenario()
    {
        var driver = new ChromeDriver();
        _context["driver"] = driver;
    }

    [AfterScenario]
    public void AfterScenario()
    {
        ((IWebDriver)_context["driver"]).Quit();
    }
}

Dependency Injection (Context Injection)

csharp
// SpecFlow auto-injects ScenarioContext, FeatureContext, and custom POCOs
public class LoginSteps
{
    private readonly LoginPage _loginPage;
    public LoginSteps(LoginPage loginPage) { _loginPage = loginPage; }
}

Setup: dotnet add package SpecFlow.NUnit or SpecFlow.xUnit

Run: dotnet test

Cloud Execution on TestMu AI

Set environment variables: LT_USERNAME, LT_ACCESS_KEY

csharp
// Hooks.cs
[BeforeScenario]
public void Setup()
{
    var ltOptions = new Dictionary<string, object>
    {
        { "user", Environment.GetEnvironmentVariable("LT_USERNAME") },
        { "accessKey", Environment.GetEnvironmentVariable("LT_ACCESS_KEY") },
        { "build", "SpecFlow Build" },
        { "name", ScenarioContext.Current.ScenarioInfo.Title },
        { "platformName", "Windows 11" },
        { "video", true },
        { "console", true },
    };
    var options = new ChromeOptions();
    options.AddAdditionalOption("LT:Options", ltOptions);
    _driver = new RemoteWebDriver(
        new Uri("https://hub.lambdatest.com/wd/hub"), options);
}

Report: SpecFlow+ LivingDoc extension for rich HTML reports

Deep Patterns

For advanced patterns, debugging guides, CI/CD integration, and best practices, see reference/playbook.md.

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 Specflow Skill AI skill do?

Generates SpecFlow BDD tests for C#/.NET with Gherkin feature files and step bindings. Use when user mentions "SpecFlow", "C# BDD", ".NET Gherkin", "[Binding]", "[Given]/[When]/[Then]". Triggers on: "SpecFlow", "C# BDD", ".NET BDD", "step bindings", "[Binding]".

Why use Specflow Skill on TypingMind?

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

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

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

Is the Specflow 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.

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