Fixing Flaky Tests FAQs

Question 1

How can I verify that a flaky test is actually fixed?

Accepted Answer

The skill recommends a verification workflow involving repeated local runs of the specific test followed by high-parallelism execution to confirm the fix holds under load.

Question 2

What common causes of flaky tests does this skill address?

Accepted Answer

This skill specifically addresses tests that pass in isolation but fail during concurrent runs due to shared database state, global variables, file system conflicts, and port collisions.

Question 3

Which testing frameworks are supported?

Accepted Answer

The skill includes specific guidance and references for popular stacks including Python (pytest), JavaScript (Jest), and E2E testing (Playwright).

Question 4

How does it help with database-related test failures?

Accepted Answer

It provides patterns for using transaction rollbacks, savepoints, and worker-specific database instances to ensure each test operates in a clean, isolated environment.

Question 5

Does this skill help with race conditions and timing issues?

Accepted Answer

Yes, it identifies race conditions and integrates with the condition-based-waiting skill to replace unreliable sleep timers with robust polling and framework-specific wait helpers.

Fixing Flaky Tests

Key Features

Use Cases

Fixing Flaky Tests

Key Features

Use Cases