Temporal Python Testing
Helps with Python, testing as part of developing backend services and APIs workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add temporal-python-testing npx -- -y @trustedskills/temporal-python-testing
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"temporal-python-testing": {
"command": "npx",
"args": [
"-y",
"@trustedskills/temporal-python-testing"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The temporal-python-testing skill enables AI agents to perform testing tasks related to Python code within a Temporal workflow context. It supports writing, executing, and validating unit tests, integration tests, or test suites that are compatible with Temporal's distributed task orchestration framework.
When to use it
- You need to validate the correctness of Python functions used in Temporal workflows.
- You're developing or maintaining a Temporal-based application and want automated testing capabilities.
- Your team requires consistent test execution across multiple workers or environments managed by Temporal.
Key capabilities
- Integration with Temporal's workflow execution model
- Support for writing and running Python unit tests
- Compatibility with Temporal's task queue and activity worker architecture
Example prompts
- "Write a unit test for the
process_orderfunction in my Temporal workflow." - "Run all integration tests for the
inventory_servicemodule using Temporal workers." - "Validate that the
checkout_activitycorrectly handles exceptions in a Temporal workflow."
Tips & gotchas
- Ensure your Python environment has Temporal SDK and testing libraries installed.
- Test workflows may require specific task queue configurations to execute properly.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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