Local Setup

What this skill does

This skill provides a step-by-step guide to setting up a local Temporal development environment optimized for Python testing. It covers deploying Temporal and its dependencies with Docker Compose, configuring pytest for asynchronous test execution, and integrating code coverage tracking. The setup supports isolated testing workflows, health checks, and efficient debugging through a structured project layout and reusable test fixtures.

Who it's for

This skill is designed for performance marketers and growth leads managing developer efficiency in teams building Temporal-based workflows. It's also valuable for agency strategists overseeing technical implementation and QA processes who need reliable local environments to simulate production workflow executions. SEO or PPC operators involved in technical audits can leverage this skill to validate and optimize backend automation supporting campaign tracking.

Key workflows

First, practitioners define and deploy Temporal and PostgreSQL containers using a Docker Compose configuration to replicate production dependencies locally. Next, they configure pytest with custom markers and coverage thresholds to run unit, integration, and replay tests against Temporal workflows. Then, they implement and use shared async test fixtures to establish workflow environments and clients, enabling consistent, isolated test runs. Finally, they incorporate health check scripts to verify Temporal server availability and workflow execution integrity before development or deployment.

Common questions

How do I verify my Temporal server is running correctly? Run the provided health check script to connect and execute a simple workflow, confirming server responsiveness. Can I track test coverage across async workflows? Yes, the pytest configuration includes coverage reporting with a minimum 80% threshold on source directories. What test types should I prioritize? Unit tests for fast iteration, integration tests for end-to-end workflow validation, and replay tests using production histories for robustness verification.

How to use in Metaflow

Attach the Local Setup skill to a Metaflow agent task to provision a fully configured Python Temporal development environment with integrated test suites and coverage tracking. Expect automated Docker Compose orchestration and pytest execution tailored for asynchronous workflows. This skill streamlines environment consistency and test reliability for workflow-driven marketing automation projects while enabling comprehensive diagnostics and validation within Metaflow pipelines.

For broader context, see our roundup of claude marketing skills, and read how to create Claude skills for related setup guidance.