A Codex Skill That Generates Editable Draw.io Diagrams Instead of Screenshots
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.
- ▪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.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 4048092) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } CodeCow Posted on Jul 26 A Codex Skill That Generates Editable Draw.io Diagrams Instead of Screenshots #opensource #architecture #showdev #ai 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.
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