From rmyndharis-antigravity-skills
Tests Temporal workflows using pytest with time-skipping and mocking strategies. Covers unit, integration, replay testing, and local development setup for implementing or debugging tests.
npx claudepluginhub joshuarweaver/cascade-code-general-misc-2 --plugin rmyndharis-antigravity-skillsThis skill uses the workspace's default tool permissions.
Comprehensive testing approaches for Temporal workflows using pytest, progressive disclosure resources for specific testing scenarios.
Creates isolated Git worktrees for feature branches with prioritized directory selection, gitignore safety checks, auto project setup for Node/Python/Rust/Go, and baseline verification.
Executes implementation plans in current session by dispatching fresh subagents per independent task, with two-stage reviews: spec compliance then code quality.
Dispatches parallel agents to independently tackle 2+ tasks like separate test failures or subsystems without shared state or dependencies.
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.md