workflow-framework-generator

You can generate a complete CataForge-compatible workflow framework by specifying your domain and target IDE. The skill automatically scaffolds agent roles, skill modules, workflow phases, and platform profiles to avoid manual redesign across environments.

CataForge workflow scaffolding is the process of translating a business process into structured agents, skills, hooks, and platform profiles. You need it when adapting a multi-step process to a specific domain or AI IDE platform without designing from scratch.

Yes, the workflow generation tool supports platform adaptation for Cursor, Claude Code, Codex, and OpenCode. It adjusts output based on platform capability differences and applies downgrade strategies for environments with limited features.

Yes, you can reuse a content creation workflow on other AI IDE platforms. The skill maps platform capabilities and generates deterministic file scaffolding, allowing you to launch on one IDE and later adapt the same structure to another without redesigning the process.

The best way to translate a business process into a structured agent workflow is using a domain framework generator. It designs agent roles and skill modules while applying platform-specific configuration, ensuring structured framework generation and deterministic file scaffolding.

Yes, you need YAML and JSON dependencies along with Python standard libraries like os, sys, and pathlib. These dependencies support reading configuration inputs and generating the deterministic file scaffolding required for the CataForge workflow framework.