playwright-browser-automation

You can convert Playwright traces into a JMeter script by capturing live browser network traffic and parameterizing it into a JMX file. This Skill automates the process by parsing a Markdown test spec, executing browser steps via Playwright, and emitting a ready-to-run JMeter script with correlations.

Traffic correlation in JMeter links dynamic network values captured during a Playwright session to test variables. This Skill analyzes the captured network traffic, applies correlation naming, and generates a parameterized JMX script to ensure repeatable load tests.

Yes, you can use a Markdown test spec to configure JMeter think time and browser steps. The Skill parses the Markdown file into executable steps, executes them through Playwright, and applies configurable think time during network traffic capture for the JMX script.

Yes, you need Playwright traces to generate a parameterized JMeter JMX file. The Skill requires Playwright traces as input to bridge live browser interactions with automated JMeter script generation, capturing the necessary network traffic for correlation.

The best way to parameterize network traffic from a browser session for load testing is to capture live interactions and apply automated correlation naming. This Skill executes Playwright browser steps, captures the traffic, and outputs a parameterized JMX script for repeatable tests.

To prevent data contamination when generating JMeter scripts from old browser traces, you must archive the old Playwright traces before capturing new network traffic. This Skill includes functionality to archive old traces, ensuring clean runs and accurate parameterized JMX output.