Is the scaffolding process deterministic?

Yes, the tool is designed to provide a deterministic run, ensuring consistent and repeatable results every time you bootstrap a new experiment.

What is the Workflow Cycle Scaffolder?

It is a specialized skill for Claude Code that automates the creation of experiment scaffolds, including rules, inputs, and templates for structured workflow testing.

Can I use this for A/B testing?

Yes, the skill specifically generates A/B/C templates to help you compare different workflow configurations and logic branches effectively.

Does it support custom schemas?

The skill uses predefined JSON schemas for requests and results to ensure that the generated scaffold integrates perfectly with the MOVA workflow cycle.

Workflow Cycle Scaffolder

Name: Workflow Cycle Scaffolder
Author: Leryk1981

byLeryk1981

生产力与工作流

Bootstraps workflow experiment structures including rules, inputs, and A/B/C templates in a single deterministic operation.

关于

The Workflow Cycle Scaffolder is a specialized tool designed to automate the initial setup of complex workflow experiments within the MOVA framework. It provides a deterministic way to generate all necessary scaffolding—including rule sets, input data structures, and attempt logs—along with pre-configured A/B/C templates. This skill is essential for developers and researchers looking to standardize their experimental design process, ensuring consistency across multiple iterations of workflow testing and performance optimization while leveraging Codex automation.

主要功能

JSON schema-validated request and response handling
Automatic creation of A/B/C experiment templates
Standardized rule and input structure initialization
Codex automation integration for seamless CLI execution
0 GitHub stars
Deterministic generation of workflow experiment scaffolds

使用场景

Rapidly bootstrapping experiment environments within a CI/CD pipeline
Setting up a new automated testing cycle for complex workflow logic
Creating standardized A/B test templates for prompt engineering or logic branches

关于

主要功能

JSON schema-validated request and response handling
Automatic creation of A/B/C experiment templates
Standardized rule and input structure initialization
Codex automation integration for seamless CLI execution
0 GitHub stars
Deterministic generation of workflow experiment scaffolds

使用场景

Rapidly bootstrapping experiment environments within a CI/CD pipeline
Setting up a new automated testing cycle for complex workflow logic
Creating standardized A/B test templates for prompt engineering or logic branches