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Design guide

Skill SamurAIGPT/Generative-Media-Skills/library/visual/design-guide

Multi-modal Generative Media Skills for AI Agents (Claude Code, Cursor, Gemini CLI). High-quality image, video, and audio generation powered by muapi.ai.

Install
npx -y skills add SamurAIGPT/Generative-Media-Skills --skill design-guide

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

SKILL.md

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Brand Design Guide

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

Inputs

NameTypeRequiredDefaultDescription
brand_nametextyesThe brand or product name.
industrytextyesIndustry/niche (e.g. "fintech startup", "organic skincare", "luxury hotel chain").
style_directiontextnomodern, minimal, premiumDesign aesthetic (e.g. "bold and playful", "corporate and trustworthy", "dark luxury").
primary_colortextnoOptional brand primary color (hex code or color name, e.g. "#3898EC" or "deep navy").
existing_logoimage_urlnoOptional existing logo to extract brand cues from.

Steps

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

Phase A — Color & Typography Reference Card

  1. Color palette cardmuapi image generate (model=bytedance-seedream-v4.5):

    • Prompt: Clean design guide color palette card for {{brand_name}} — {{style_direction}} 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 {{primary_color}} is given, include it: primary color is {{primary_color}}
    • Aspect ratio: 16:9
  2. Typography pairing previewmuapi image generate (model=bytedance-seedream-v4.5):

    • Prompt: Brand typography pairing sheet for {{brand_name}} — {{style_direction}}. 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 mockupmuapi image generate (model=gpt4o-text-to-image):
    • Prompt: {{brand_name}} brand design system UI kit — {{style_direction}} 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 mockupmuapi image generate (model=nano-banana-pro):
    • Prompt: {{brand_name}} brand identity applied to real-world mockups — {{style_direction}} 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 {{primary_color}} is blank, derive one from the {{industry}} and {{style_direction}} 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 MUAPI_API_KEY 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/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait <request_id>.
  • Substitute {{input_name}} placeholders with the user's actual inputs before issuing each call.

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