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.
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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
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
brand_name | text | yes | — | The brand or product name. |
industry | text | yes | — | Industry/niche (e.g. "fintech startup", "organic skincare", "luxury hotel chain"). |
style_direction | text | no | modern, minimal, premium | Design aesthetic (e.g. "bold and playful", "corporate and trustworthy", "dark luxury"). |
primary_color | text | no | — | Optional brand primary color (hex code or color name, e.g. "#3898EC" or "deep navy"). |
existing_logo | image_url | no | — | Optional 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
-
Color palette card —
muapi 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
- Prompt:
-
Typography pairing preview —
muapi 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
- Prompt:
Phase B — UI Component Preview
- UI components mockup —
muapi 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
- Prompt:
Phase C — Brand Application Mockup
- Real-world mockup —
muapi 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, usemuapi image edit(model=nano-banana-pro-edit) with it as reference. - Aspect ratio: 4:3
- Prompt:
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
muapiCLI commands. Usemuapi auth configurefirst ifMUAPI_API_KEYis 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 withmuapi predict wait <request_id>. - Substitute
{{input_name}}placeholders with the user's actual inputs before issuing each call.