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Temporal Python Testing

Listed
sickn33·vlatest·backend·MIT

Helps with Python, testing as part of developing backend services and APIs workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add sickn33/agentic-awesome-skills --skill temporal-python-testing -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

sickn33

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Install target

Live repository

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No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

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  • No credential access: passed

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  • No pipe-to-shell installers: passed

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  • Pinned to a commit: passed

    Scanned sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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Commit
5a4cdd9df8
Manifest
skills/temporal-python-testing/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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About this skill

The temporal-python-testing skill enables AI agents to execute Python code within the Temporal.io workflow orchestration platform. It facilitates robust testing of complex, stateful workflows and activities directly from prompts.

When to use it

  • Validate logic in long-running background jobs before deploying to production environments.
  • Debug failing activity executions by running isolated test cases against your workflow definitions.
  • Verify that temporal schedules and cron triggers behave as expected during development cycles.
  • Run integration tests that simulate real-world event sequences without requiring a full cluster setup.

Key capabilities

  • Execute Python scripts within the Temporal testing environment.
  • Interact with Temporal's core SDK for workflow and activity definitions.
  • Support for mocking external dependencies to ensure isolated test runs.
  • Generate detailed logs and assertions for failed workflow executions.

Example prompts

  • "Write a Python test case using Temporal SDK to verify that an order processing workflow handles timeout exceptions correctly."
  • "Create a unit test for a scheduled activity that simulates a delayed payment trigger in Temporal."
  • "Generate a script to run integration tests on my Temporal workflow definition, asserting correct state transitions after each step."

Tips & gotchas

Ensure your Python environment includes the temporalio package and matches the version used in your production cluster. This skill is designed for development and testing scenarios; it does not replace full-scale end-to-end testing with actual workflow executions on a live Temporal server.