How does this skill help with flaky tests?

It identifies arbitrary delays like setTimeout and replaces them with logic that polls for actual state changes, ensuring tests only proceed when the application is truly ready.

What are the primary benefits for CI/CD pipelines?

It prevents 'it works on my machine' errors caused by slower CI environments and speeds up test suites by avoiding unnecessary waiting when operations complete faster than guessed.

Is an arbitrary timeout ever the correct choice?

Yes, arbitrary timeouts are appropriate when testing actual timing behaviors like debouncing or throttling, as long as the reasoning is clearly documented.

Does this skill support complex conditions?

Yes, it provides patterns for complex logic including waiting for specific event counts, file existence, state machine transitions, and multi-variable conditions.

Condition-Based Test Waiting

Name: Condition-Based Test Waiting
Author: LerianStudio

byLerianStudio

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セキュリティとテスト

Eliminates flaky tests by replacing non-deterministic timeouts with robust, state-aware condition polling.

概要

This skill provides a standardized approach to fixing race conditions in asynchronous test suites by replacing arbitrary delays like setTimeout or sleep with deterministic polling. It ensures that AI agents implement 'waitFor' patterns that verify actual state changes, event counts, or file system updates, leading to significantly higher pass rates in CI/CD environments and faster overall test execution.

主な機能

Replaces arbitrary setTimeout and sleep calls with smart polling logic
Implements standardized waitFor patterns for events, state changes, and counts
Reduces test execution time by resolving immediately upon condition fulfillment
Prevents stale data errors by ensuring fresh state fetching within polling loops
Enforces clear error messaging for failed polling attempts to improve debugging
17 GitHub stars

ユースケース

Migrating legacy test suites away from brittle, time-based synchronization
Stabilizing flaky CI/CD pipelines where tests fail under heavy environmental load
Optimizing parallel test execution by removing unnecessary idle wait times

概要

主な機能

Replaces arbitrary setTimeout and sleep calls with smart polling logic
Implements standardized waitFor patterns for events, state changes, and counts
Reduces test execution time by resolving immediately upon condition fulfillment
Prevents stale data errors by ensuring fresh state fetching within polling loops
Enforces clear error messaging for failed polling attempts to improve debugging
17 GitHub stars

ユースケース

Migrating legacy test suites away from brittle, time-based synchronization
Stabilizing flaky CI/CD pipelines where tests fail under heavy environmental load
Optimizing parallel test execution by removing unnecessary idle wait times