Temporal Python Testing

If you're testing Temporal workflows in Python, this gives you a structured approach using pytest with time-skipping so month-long workflows run in seconds. It covers the three main testing patterns: unit tests with WorkflowEnvironment, integration tests with mocked activities, and replay testing for determinism validation. The progressive disclosure setup is smart, you load specific resources only when you need them instead of getting hit with everything at once. It's aimed at getting you to 80% coverage without drowning in end-to-end tests. The quick start examples are actually runnable, which is refreshing.

skills.sh installs: 195
GitHub stars: 39.4K
last updated: Jun 3, 2026

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Install

$ npx -y skills add sickn33/antigravity-awesome-skills --skill temporal-python-testing --agent claude-code

Installs into .claude/skills of the current project.

Files

Temporal Python Testing Strategies

Comprehensive testing approaches for Temporal workflows using pytest, progressive disclosure resources for specific testing scenarios.

Do not use this skill when

The task is unrelated to temporal python testing strategies
You need a different domain or tool outside this scope

Instructions

Clarify goals, constraints, and required inputs.
Apply relevant best practices and validate outcomes.
Provide actionable steps and verification.

Use this skill when

Unit testing workflows - Fast tests with time-skipping
Integration testing - Workflows with mocked activities
Replay testing - Validate determinism against production histories
Local development - Set up Temporal server and pytest
CI/CD integration - Automated testing pipelines
Coverage strategies - Achieve a project-defined threshold (80% here is illustrative) test coverage