Automate end-to-end UI QA from localhost with Playwright and map-judge evaluation.
npx skills add https://github.com/arvidfcjarfalla-prog/atlas --skill live-qa
Please help me install this Agent Skill. Skill: live-qa Source: https://github.com/arvidfcjarfalla-prog/atlas/tree/main/.claude/skills/live-qa Command: npx skills add https://github.com/arvidfcjarfalla-prog/atlas --skill live-qa
This skill enables end-to-end UI QA by simulating a user from localhost, driving prompts, rendering maps, collecting screenshots, and evaluating results with a map-judge.
Trigger a live QA session by saying /live-qa and follow the prompts to generate test scenarios, run them end-to-end, and review the map-judge results.
High-intent search queries and answers about installing and using this skill.
Automating end-to-end UI QA from localhost involves simulating a user by issuing live prompts to a running app, capturing screenshots via Playwright, and evaluating rendered maps with a map-judge.
Yes, validating UI workflows requires a running dev server on port 3000 and a live prompts workflow to generate test scenarios and produce actionable results.
A map-judge evaluation in end-to-end testing is a deterministic method to assess rendered maps collected during UI interactions, ensuring visual results meet expected quality standards.
Running Playwright test scenarios against local frontend changes requires triggering a live QA session, which generates scenarios, executes them on your localhost app, and reviews the map-judge results.
Use automated localhost QA for UI feature verification after manifest changes, AI pipeline updates, or UI regressions to validate the full user workflow end-to-end.
Yes, you can validate AI pipeline tweaks using end-to-end UI testing by simulating user interactions from localhost, driving prompts, and evaluating the rendered map results.
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