Generate brand design variants and iterate with user feedback until approval.
npx skills add https://github.com/CleanExpo/Pi-Dev-Ops --skill design-iterate
Please help me install this Agent Skill. Skill: design-iterate Source: https://github.com/CleanExpo/Pi-Dev-Ops/tree/main/skills/design-iterate Command: npx skills add https://github.com/CleanExpo/Pi-Dev-Ops --skill design-iterate
It removes the back-and-forth guesswork in brand identity creation by running a structured, user-driven iteration loop that produces multiple visual directions, shows them clearly across devices, collects feedback, and refines until you approve.
Tell the agent: “design a brand for Acme using 3 variants and iterate up to 5 times, then let me approve the best direction.”
High-intent search queries and answers about installing and using this skill.
Brand design variant iteration generates multiple visual directions per round, validates them to prevent broken canvases, and refines them using your structured feedback until you manually approve the best direction.
Yes, the workflow renders each iteration's variants at mobile, tablet, and desktop breakpoints, presenting canvas screenshots side-by-side so you can judge visual consistency and readability before selecting a direction.
Use hard validation that lints design outputs and Zod-validates motion and scene artifacts to prevent broken canvases; this guardrail stops defective variants from being presented during the design iteration loop.
No, the brand design approval process enforces user-mediated selection with no auto-approval; you must manually review the validated design variants, provide feedback, and explicitly approve the final direction for hand-off.
You set a maximum iteration ceiling when initiating the brand identity refinement workflow; the system reruns design generation with your feedback and 'forbid' constraints while respecting this limit to prevent endless loops.
After you approve a brand design variant, the workflow executes an approval hand-off to write canonical brand-config outputs, finalizing the selected design direction into standard configuration files for downstream use.
yckkkkGenerate AI-driven UI design variants and open a side-by-side comparison board.
nesquikmCoordinate structured design sessions to explore open-feature ideas.
BradliebsGenerate AI-driven design variants from a brief and surface them in a side-by-side comparison board for rapid evaluation.
tblakex01Generate multiple AI-driven UI design variants and collect structured feedback.
