Mmcp.market

muapi-design-guide skill

by SamurAIGPT·SamurAIGPT/Generative-Media-Skills·4.3k stars·MIT

Create a comprehensive brand design guide — color palette, typography pairings, UI component previews, and visual identity rules with example mockups.

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Install the muapi-design-guide skill

A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.

git clone --depth 1 https://github.com/SamurAIGPT/Generative-Media-Skills.git /tmp/Generative-Media-Skills
mkdir -p ~/.claude/skills
cp -r /tmp/Generative-Media-Skills/library/visual/design-guide ~/.claude/skills/muapi-design-guide
available in every project

In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub

The instructions your agent would load

SKILL.md as published, without the frontmatter. Read it on GitHub

Brand Design Guide

Create a comprehensive brand design guide — color palette, typography pairings, UI component previews, and visual identity rules with example mockups.

Inputs

Steps

This skill runs THREE parallel generation phases, all in a single the plan.

Phase A — Color & Typography Reference Card

  1. Color palette card — muapi image generate (model=bytedance-seedream-v4.5):
  • Prompt: Clean design guide color palette card for {{brandname}} — {{styledirection}} style brand for {{industry}}. Shows 5 swatches: primary, secondary, accent, background, text. Each swatch labeled with hex code. Modern design reference card, white background, editorial typography, flat design.
  • If {{primarycolor}} is given, include it: primary color is {{primarycolor}}
  • Aspect ratio: 16:9
  1. Typography pairing preview — muapi image generate (model=bytedance-seedream-v4.5):
  • Prompt: Brand typography pairing sheet for {{brandname}} — {{styledirection}}. Shows heading font (large, bold), subheading font (medium), body font (small regular), and caption font. Includes font names, sizes, and usage rules. Clean white background, professional design reference.
  • Aspect ratio: 16:9

Phase B — UI Component Preview

  1. UI components mockup — muapi image generate (model=gpt4o-text-to-image):
  • Prompt: {{brandname}} brand design system UI kit — {{styledirection}} for {{industry}}. Shows: primary button, secondary button, input field, card component, badge/tag, icon set sample. Consistent brand colors and fonts. Professional design spec sheet, light mode, high detail, Figma-style component documentation.
  • Aspect ratio: 4:3

Phase C — Brand Application Mockup

  1. Real-world mockup — muapi image generate (model=nano-banana-pro):
  • Prompt: {{brandname}} brand identity applied to real-world mockups — {{styledirection}} style for {{industry}}. Shows business card, letterhead, and mobile app icon all with consistent brand identity. Professional brand presentation, clean background, photorealistic mockups.
  • If {{existing_logo}} provided, use muapi image edit (model=nano-banana-pro-edit) with it as reference.
  • Aspect ratio: 4:3

After all assets generate:

  • Present all 4 assets together as a cohesive design guide
  • Provide a written text summary with: suggested font stack, hex codes, spacing rules, and do/don't guidelines
  • Offer to generate a social media template or logo next

Notes

  • All prompts should reinforce {{style_direction}} consistently across all phases.
  • If {{primarycolor}} is blank, derive one from the {{industry}} and {{styledirection}} context.

Trigger Keywords

design guide, brand guide, style guide, design system, brand identity, visual identity, brand colors, typography

Notes for the Executing Agent

  • This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call muapi CLI commands. Use muapi auth configure first if MUAPIAPIKEY is unset.
  • For model IDs without a CLI alias yet, fall back to the raw endpoint via curl -X POST https://api.muapi.ai/api/v1/ -H "x-api-key: $MUAPIAPIKEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait .
  • Substitute {{input_name}} placeholders with the user's actual inputs before issuing each call.

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