When defining CI/CD workflows, always ensure task/step names are unique to prevent execution failures. Workflow engines like Argo will reject pipelines with duplicate step names, which becomes particularly important when: 1. Building multiple similar artifacts 2. Generating steps programmatically 3. Reusing step templates To ensure uniqueness, append identifiers like random strings, build numbers, or artifact identifiers to your step names. Example: ```python # Import required libraries import random import string # Define character set for random string generation alphabet = string.ascii_lowercase + string.digits # Create unique step name by appending a random string task["name"] = "base-task-name-" + ''.join(random.choices(alphabet, k=8)) ``` This approach ensures each workflow step has a unique identifier while maintaining readability with a consistent prefix, allowing for reliable execution and easier debugging of CI/CD pipelines.