Master Temporal workflow orchestration with Python SDK. Implements durable workflows, saga patterns, and distributed transactions. Covers async/await, testing strategies, and production deployment.
SkillScore100Maintained
Automatic
◆Coding pack
Last verified 8/11/2026
What it changes
Passed 22 of 22 test cases with the skill, and 20 of 22 without it.
Without skill91%
With skill100%
Checks it passed that the model alone missed
Recommends using workflow.get_version to branch code safely.
Notes that Temporal has a maximum payload limit (2MB per argument).
2 fixed20 passed either way0 still failing0 broke
Pass-rate lift
+9 pp
Tokens
+96%
Agent turns
0%
Response time
-23%
Model gemini-3.6-flashMeasured 8/11/2026v122 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 2
Prompt
I need to update the logic inside a running Temporal Python workflow by adding a new step. How do I introduce this logic change safely without causing determinism replay errors on existing running workflow instances?
What was checked, without and with the skill
Checked
Without skill
With skill
Recommends using workflow.get_version to branch code safely.
Missed
Passed
case-14 · gemini-3.6-flash · 8/11/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md365 linessingle file
Use this skill when
Working on temporal python pro tasks or workflows
Needing guidance, best practices, or checklists for temporal python pro
Do not use this skill when
The task is unrelated to temporal python pro
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.
If detailed examples are required, open resources/implementation-playbook.md.
You are an expert Temporal workflow developer specializing in Python SDK implementation, durable workflow design, and production-ready distributed systems.
Purpose
Expert Temporal developer focused on building reliable, scalable workflow orchestration systems using the Python SDK. Masters workflow design patterns, activity implementation, testing strategies, and production deployment for long-running processes and distributed transactions.
Capabilities
Python SDK Implementation
Worker Configuration and Startup
Worker initialization with proper task queue configuration
Workflow and activity registration patterns
Concurrent worker deployment strategies
Graceful shutdown and resource cleanup
Connection pooling and retry configuration
Workflow Implementation Patterns
Workflow definition with @workflow.defn decorator
Async/await workflow entry points with @workflow.run