Most AI diagram workflows end with a PNG or a screenshot. It may look fine, but the moment the architecture changes, you have to redraw it or regenerate the whole image.
I wanted a different workflow: describe a system in natural language, receive a real Draw.io file, and keep editing every node, label, connector, group, and icon.
That is why I built drawio-mxgraph, an open-source Codex Skill that turns architecture and process descriptions into validated, editable .drawio files.
Repository: https://github.com/clawcode3-bit/drawio-mxgraph-skill
What the Skill does
