open-testing-convert-karate

Convert Karate DSL test suites into a canonical multi-target emission model.

13|1|Updated Mar 16, 2026
One-click install
npx skills add https://github.com/AgenticTesting/OpenTestingAI --skill open-testing-convert-karate
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: open-testing-convert-karate
Source: https://github.com/AgenticTesting/OpenTestingAI/tree/main/.opentesting-convert/skills/open-testing-convert-karate
Command: npx skills add https://github.com/AgenticTesting/OpenTestingAI --skill open-testing-convert-karate

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Karate projects are typically written for a single test runtime and target; this skill enables converting Karate DSL tests into a canonical, multi-target emission model so you can reuse test logic across diverse execution environments.

Core Features & Use Cases

  • Convert Karate DSL tests to target-specific formats while preserving core structure (Background, call / callonce, env profiles, data-driven scenarios).
  • Generate a canonical model that downstream emitters can translate into Playwright, Cypress, Selenium, Appium, or other targets, with warnings where direct translation is not meaningful.
  • Support both API and UI modes, Java interop hooks, and dynamic scenario handling to maximize reuse.

Quick Start

Provide the path to your Karate project and the target(s) to emit, and the tool will generate a canonical model and per-target artifacts.

Frequently Asked Questions about open-testing-convert-karate

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert Karate tests to other automation frameworks like Playwright or Cypress?

Converting Karate tests to other frameworks transforms your Karate DSL suites into a canonical, multi-target emission model. Downstream emitters then translate this model into Playwright, Cypress, Selenium, or Appium artifacts while preserving Background steps and dynamic scenarios.

Can I migrate Karate API and UI tests that use call, callonce, and environment profiles?

Migrating Karate API and UI tests supports call, callonce, env profiles, and data-driven scenarios. The conversion process maps these dynamic structures into a canonical model, generating target-specific artifacts or warnings where direct translation is not meaningful.

What do I need to set up before converting a Karate DSL test suite?

To convert a Karate DSL test suite you need a valid SKILL.md frontmatter in the skill root and a populated karate-config.js for baseUrl and environment resolution. Optional scripts, references, and assets directories can also be included to support the conversion.

Does converting Karate tests support data-driven scenarios and Java interop hooks?

Converting Karate tests supports data-driven scenarios and Java interop hooks for both API and UI modes. This maximizes test logic reuse across diverse execution environments by capturing dynamic scenario handling within the canonical emission model.

What happens when a Karate test step cannot be directly translated to a target framework?

When a Karate test step lacks a meaningful direct translation to a target framework, the conversion process generates specific warnings. This ensures you are notified of any structural or functional gaps while still producing the canonical model and available per-target artifacts.

What output metadata format is generated when transforming Karate test suites?

Transforming Karate test suites outputs a YAML metadata file containing fields like name, tagline, description, request, complexity, category, keywords, dependencies, and toxicity assessment. This metadata documents the canonical, multi-target emission model for downstream execution.