mcpField
C
condition-based-waiting

condition-based-waiting

github.com/jackspaceTesting & quality1637 installsUpdated 12w ago
Repository

About condition-based-waiting

condition-based-waiting is a testing skill for reducing timing-related flakiness. It guides tests to wait for conditions instead of arbitrary delays, and covers polling, timeouts, and cases where a fixed wait is justified.

Key features

  1. 01Wait for states or events to meet conditions
  2. 02Use common condition-polling patterns
  3. 03Set polling timeouts and clear errors
  4. 04Identify when fixed delays are appropriate

Use cases

  1. 01Replace arbitrary sleeps in tests
  2. 02Wait for asynchronous work or file creation
  3. 03Diagnose flaky tests under parallel runs
  4. 04Verify timed behavior with known intervals

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/jackspace/claudeskillz --skill condition-based-waiting

After installing, type/condition-based-waitingin Claude Code to confirm it loaded.

Bundled filesexample.tsSKILL.json

Details

From the project README

Condition-Based Waiting

Overview

Flaky tests often guess at timing with arbitrary delays. This creates race conditions where tests pass on fast machines but fail under load or in CI.

Core principle: Wait for the actual condition you care about, not a guess about how long it takes.

When to Use

digraph when_to_use {
    "Test uses setTimeout/sleep?" [shape=diamond];
    "Testing timing behavior?" [shape=diamond];
    "Document WHY timeout needed" [shape=box];
    "Use condition-based waiting" [shape=box];

    "Test uses setTimeout/sleep?" -> "Testing timing behavior?" [label="yes"];
    "Testing timing behavior?" -> "Document WHY timeout needed" [label="yes"];
    "Testing timing behavior?" -> "Use condition-based waiting" [label="no"];
}

Use when:

  • Tests have arbitrary delays (setTimeout, sleep, time.sleep())
  • Tests are flaky (pass sometimes, fail under load)
  • Tests timeout when run in parallel
  • Waiting for async operations to complete

Don't use when:

  • Testing actual timing behavior (debounce, throttle intervals)
  • Always document WHY if using arbitrary timeout

Core Pattern

// ❌ BEFORE: Guessing at timing
await new Promise(r => setTimeout(r, 50));
const result = getResult();
expect(result).toBeDefined();

// ✅ AFTER: Waiting for condition
await waitFor(() => getResult() !== undefined);
const result = getResult();
expect(result).toBeDefined();

Quick Patterns

ScenarioPattern
Wait for eventwaitFor(() => events.find(e => e.type === 'DONE'))
Wait for statewaitFor(() => machine.state === 'ready')
Wait for countwaitFor(() => items.length >= 5)
Wait for filewaitFor(() => fs.existsSync(path))
Complex conditionwaitFor(() => obj.ready && obj.value > 10)

Implementation

Generic polling function:

async function waitFor<T>(
  condition: () => T | undefined | null | false,
  description: string,
  timeoutMs = 5000
): Promise<T> {
  const startTime = Date.now();

  while (true) {
    const result = condition();
    if (result) return result;

    if (Date.now() - startTime > timeoutMs) {
      throw new Error(`Timeout waiting for ${description} after ${timeoutMs}ms`);
    }

    await new Promise(r => setTimeout(r, 10)); // Poll every 10ms
  }
}

See @example.ts for complete implementation with domain-specific helpers (waitForEvent, waitForEventCount, waitForEventMatch) from actual debugging session.

Common Mistakes

❌ Polling too fast: setTimeout(check, 1) - wastes CPU ✅ Fix: Poll every 10ms

❌ No timeout: Loop forever if condition never met ✅ Fix: Always include timeout with clear error

❌ Stale data: Cache state before loop ✅ Fix: Call getter inside loop for fresh data

When Arbitrary Timeout IS Correct

// Tool ticks every 100ms - need 2 ticks to verify partial output
await waitForEvent(manager, 'TOOL_STARTED'); // First: wait for condition
await new Promise(r => setTimeout(r, 200));   // Then: wait for timed behavior
// 200ms = 2 ticks at 100ms intervals - documented and justified

Requirements:

  1. First wait for triggering condition
  2. Based on known timing (not guessing)
  3. Comment explaining WHY

Real-World Impact

From debugging session (2025-10-03):

  • Fixed 15 flaky tests across 3 files
  • Pass rate: 60% → 100%
  • Execution time: 40% faster
  • No more race conditions

Comments

Markdown supported