ztx4-visual-qa
Deep implementation master for Visual QA & Self-Correction with 18 targeted Codex skills, code, tests and no MCP. Additive to all existing Perfect_AI versions.
Файлы1
Открыть в GitHubSKILL.mdskills/ztx4-visual-qa/SKILL.md
GitHubVisual QA & Self-Correction
Close the loop between rendered UI evidence, detected defects and verified fixes.
Mandatory sequence
- Establish test fixtures, seeded content, font readiness, stable animation clock and expected baselines.
- Run a viewport × theme × direction × motion × interaction matrix, including 320px and 400% zoom.
- Detect overflow, clipped content, failing actions, console errors, accessibility violations and animation state drift.
- Generate annotated diff reports and rank issues by user impact, not only pixel count.
- Fix then rerun targeted + regression tests; record what was actually executed.
Skill routing
Choose only technique files needed for this project from DEEP-IMPLEMENTATION-v2/references/visual-qa.md. Never indiscriminately load all 300+ skills into context.
Runbook
Inputs: page URL/fixtures, responsive matrix, snapshots, deterministic font/time and expected functional assertions.
Implementation: Playwright screenshots and DOM checks, keyboard flows, console/network errors, pixel-diff triage and fix verification loop.
Tests: one failing regression intentionally detected, 8 viewports, reduced motion, RTL/LTR, JS errors, focus and no horizontal overflow.
Acceptance gates
- Both regression failures and successful controls are recorded with screenshots.
- Test matrix includes 320/390/768/1440 and RTL/reduced motion.
- Never describe skipped tests as passed.
Runnable assets
extensions/DEEP-IMPLEMENTATION-v2/examples and tools (installed main package). See RUNBOOK-FA.md.