failure-diagnosis

Diagnose failing Playwright tests by triggering an evidence-first pipeline that captures error messages, stack traces, screenshots, and DOM snapshots to identify root causes. The skill applies structured triage across authoring, maintenance, and bug-discovery workflows to surface actionable fixes.

Find the root cause of Playwright test flakiness using a diagnostic pipeline that collects failure screenshots and error context, then generates root-cause hypotheses. The structured triage protocol captures HTML snapshots and applies decision rules to reason about ambiguous automation failures.

Screenshot and DOM inspection debug Playwright failures by providing concrete visual and structural evidence of the application state at the time of error. The triage pipeline analyzes these artifacts alongside stack traces to form accurate root-cause hypotheses and guide autonomous repair.

Generate precise bug reports from ambiguous Playwright test failures through the skill's autonomous guidance and structured heal/recover protocol. When app issues are detected during triage, the evidence-first pipeline surfaces actionable diagnostic data, enabling faster developer resolution.

This failure diagnosis skill works across Playwright test authoring, maintenance, and bug-discovery workflows. It applies a repeatable evidence-based protocol to collect artifacts, reason about causes, and surface fixes, making it suitable for diagnosing failures throughout the automation lifecycle.

Playwright tests fail ambiguously due to unclear error context, which this skill triages by implementing an evidence-first pipeline with structured error collection and decision rules. It inspects the DOM, reviews failure screenshots, and forms root-cause hypotheses to resolve the ambiguity.