Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.
Add this skill
npx mdskills install sickn33/temporal-python-testingExcellent progressive disclosure design with clear testing philosophy and resource organization
Comprehensive testing approaches for Temporal workflows using pytest, progressive disclosure resources for specific testing scenarios.
resources/implementation-playbook.md.Recommended Approach (Source: docs.temporal.io/develop/python/testing-suite):
Three Test Types:
This skill provides detailed guidance through progressive disclosure. Load specific resources based on your testing needs:
File: resources/unit-testing.md
When to load: Testing individual workflows or activities in isolation
Contains:
File: resources/integration-testing.md
When to load: Testing workflows with mocked external dependencies
Contains:
File: resources/replay-testing.md
When to load: Validating determinism or deploying workflow changes
Contains:
File: resources/local-setup.md
When to load: Setting up development environment
Contains:
import pytest
from temporalio.testing import WorkflowEnvironment
from temporalio.worker import Worker
@pytest.fixture
async def workflow_env():
env = await WorkflowEnvironment.start_time_skipping()
yield env
await env.shutdown()
@pytest.mark.asyncio
async def test_workflow(workflow_env):
async with Worker(
workflow_env.client,
task_queue="test-queue",
workflows=[YourWorkflow],
activities=[your_activity],
):
result = await workflow_env.client.execute_workflow(
YourWorkflow.run,
args,
id="test-wf-id",
task_queue="test-queue",
)
assert result == expected
from temporalio.testing import ActivityEnvironment
async def test_activity():
env = ActivityEnvironment()
result = await env.run(your_activity, "test-input")
assert result == expected_output
Recommended Coverage (Source: docs.temporal.io best practices):
Load specific resource when needed:
resources/unit-testing.mdresources/integration-testing.mdresources/local-setup.mdresources/replay-testing.mdInstall via CLI
npx mdskills install sickn33/temporal-python-testingTemporal Python Testing is a free, open-source AI agent skill. Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.
Install Temporal Python Testing with a single command:
npx mdskills install sickn33/temporal-python-testingThis downloads the skill files into your project and your AI agent picks them up automatically.
Temporal Python Testing works with Claude Code, Claude Desktop, Cursor, Vscode Copilot, Windsurf, Continue Dev, Codex, Gemini Cli, Amp, Roo Code, Goose, Opencode, Trae, Qodo, Command Code. Skills use the open SKILL.md format which is compatible with any AI coding agent that reads markdown instructions.