Does it require specific Playwright configurations?

The skill leverages standard Playwright features like traces, reporters, and grep, but will also recommend best-practice configurations like retries and trace-on-failure.

What kind of Playwright issues can it fix?

It is designed to solve Timing/Async issues, Test Isolation leaks, Environment mismatches between local/CI, and Infrastructure-related timeouts.

How do I know the fix actually worked?

The skill includes a mandatory verification step that runs the modified test 10 consecutive times; a fix is only considered successful if it achieves a 100% pass rate.

How does this skill handle intermittent test failures?

It uses a 'burn-in' technique, running the test repeatedly (e.g., 10-20 times) with parallel workers to force intermittent 'flaky' failures to surface for analysis.

Playwright Test Repair

Name: Playwright Test Repair
Author: zhangzhang-111-i

byzhangzhang-111-i

0•

Security & Testing

Diagnoses and resolves failing or flaky Playwright tests using a systematic troubleshooting taxonomy and automated verification.

The Playwright Test Repair skill provides Claude with a structured framework for identifying and fixing unreliable end-to-end tests. It moves beyond simple error logging by guiding the AI to reproduce failures through burn-in runs, analyze execution traces, and categorize bugs into specific buckets like Timing, Isolation, Environment, or Infrastructure. By applying targeted fixes—such as replacing timeouts with web-first assertions or fixing state leaks—and verifying results with repeated stress tests, this skill ensures your CI/CD pipeline remains stable and your test suite stays trustworthy.

Key Features

01Automated reproduction of intermittent failures via multi-run burn-in cycles

020 GitHub stars

03Post-fix verification requiring 10/10 consecutive passes for stability

04Deep trace file analysis to identify visual or network-level regressions

05Systematic categorization of issues using a dedicated flaky-test taxonomy

06Targeted code refactoring for web-first assertions and test isolation

Use Cases

01Resolving test isolation issues caused by shared state or database leaks

02Fixing 'flaky' tests that pass locally but fail intermittently in CI/CD pipelines

03Debugging race conditions in complex asynchronous web interactions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zhangzhang-111-i/claude-skills111 fix

For use in Claude.ai and ChatGPT

Key Features

01Automated reproduction of intermittent failures via multi-run burn-in cycles

020 GitHub stars

03Post-fix verification requiring 10/10 consecutive passes for stability

04Deep trace file analysis to identify visual or network-level regressions

05Systematic categorization of issues using a dedicated flaky-test taxonomy

06Targeted code refactoring for web-first assertions and test isolation

Use Cases

01Resolving test isolation issues caused by shared state or database leaks

02Fixing 'flaky' tests that pass locally but fail intermittently in CI/CD pipelines

03Debugging race conditions in complex asynchronous web interactions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zhangzhang-111-i/claude-skills111 fix

For use in Claude.ai and ChatGPT