Agent skill

AI Design Generation Skill: Prompts and Quality Scoring

The ai-design-generation skill has an AI coding agent produce mockups, icons, illustrations and video through MCP image models, using prompt patterns, a curation loop and brand compliance scoring.

Install
/plugin marketplace add phazurlabs/sumi
/plugin install sumi@sumi-marketplace
View on GitHub

Stars, license and last push from GitHub. Install count as reported by the open skills directory.

What is the ai-design-generation skill?

The ai-design-generation skill is a SKILL.md in phazurlabs/sumi for producing visual assets from AI image and UI models. Your AI coding agent gets prompt patterns for Stitch, Fal.ai, Recraft V3, Midjourney and DALL-E 3, a curation loop, and a 0 to 10 scoring scale.

The ai-design-generation skill produces visual assets from AI image and UI models through MCP: Stitch screens, Fal.ai with Imagen, FLUX and Veo, Recraft V3 vectors, GPT-Image and Figma file access. It adds prompt patterns and quality scoring.

It works as a human curation loop: specify, generate 3 to 6 candidates per round, evaluate, select, refine and repeat. Two to four rounds typically reach production quality, with prompting treated as a design skill.

MCP servers and models

  • The supported MCP servers, all optional, are stitch-mcp, @fal-ai/mcp, replicate-mcp, openai-images-mcp and figma-mcp, and each needs an API key.
  • Fal.ai gives access to 600+ models. FLUX Pro reaches 2048x2048, with steps of 28 to 50 for Pro and 4 for Schnell, and guidance of 3.5 to 7.5.
  • Recraft V3 produces true SVG vector output, with four illustration presets including corporate flat and isometric.
  • Without MCP servers the skill provides detailed specifications and prompts to use manually with any generation tool.

Pipelines and quality control

Pipelines run in four stages: concept exploration, variation, refinement and production. An icon set pipeline exports SVG at 16, 20, 24, 32 and 48 grid sizes, and brand compliance scoring on a 0 to 10 scale needs a 7 or higher average to ship.

Who the ai-design-generation skill is for

Best for

  • Rendering UI mockups, icons, illustrations or video from AI image and UI models.
  • Teams that want a repeatable prompt structure layering style, layout, content and details.
  • Checking generated assets for text garbling, style drift and brand contamination before use.

Not for

  • Building a multi-page site from Google Stitch by reading a baton file and writing the next baton, which the stitch-loop skill covers.
  • Writing a DESIGN.md that describes a Google Stitch project's look in plain language, which the design-md skill covers.
  • Writing a .stitch/SITE.md memory file with identity, sitemap and roadmap for the Stitch build loop, which the site-md skill covers.