brand-designer▌
daffy0208/ai-dev-standards · updated Apr 8, 2026
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Create cohesive brand identities, logos, and visual systems with design guidance and asset templates.
- ›Covers logo design process from discovery through concept development, with support for wordmarks, lettermarks, and icon-plus-wordmark combinations
- ›Includes complete color palette systems with accessibility guidelines, typography scales, and semantic color definitions
- ›Provides ready-to-use React components and SVG templates for logos, social media posts, business cards, and favicons
Brand Designer Skill
I help you create cohesive brand identities, logos, and visual brand systems.
What I Do
Brand Identity:
- Logo design and variations
- Color palettes
- Typography systems
- Brand guidelines
Visual Assets:
- Business cards, letterheads
- Social media templates
- Marketing materials
- Brand presentation decks
Brand Strategy:
- Brand positioning
- Target audience definition
- Competitor analysis
- Brand voice and tone
Logo Design Process
Step 1: Brand Discovery
Questions to Answer:
- What does the company do?
- Who is the target audience?
- What are the brand values?
- What feeling should the logo evoke?
- Any colors/symbols to avoid?
Example Brief:
## Brand Brief: TechStart
**Industry:** SaaS, developer tools
**Target Audience:** Software developers, 25-40 years old
**Brand Values:** Innovation, simplicity, reliability
**Personality:** Modern, technical, approachable
**Competitors:** GitHub, GitLab, Vercel
**Logo Requirements:**
- Works in monochrome
- Scales from 16px (favicon) to billboard
- Modern, not trendy (should age well)
- Unique, memorable
Step 2: Logo Concepts
Concept 1: Wordmark
Clean, modern typography
Focus on the company name
Example: Google, Facebook, Netflix
Concept 2: Lettermark
Initials in a distinctive way
Good for long company names
Example: IBM, HBO, CNN
Concept 3: Icon + Wordmark
Symbol + company name
Most versatile option
Example: Nike, Apple, Twitter
Example SVG Logo (React Component):
// components/brand/Logo.tsx
interface LogoProps {
variant?: 'full' | 'icon' | 'wordmark'
color?: 'primary' | 'white' | 'black'
size?: number
}
export function Logo({ variant = 'full', color = 'primary', size = 40 }: LogoProps) {
const colors = {
primary: '#0066CC',
white: '#FFFFFF',
black: '#000000'
}
const fillColor = colors[color]
if (variant === 'icon') {
return (
<svg width={size} height={size} viewBox="0 0 40 40" fill="none">
<circle cx="20" cy="20" r="18" fill={fillColor} />
<path
d="M15 20 L25 15 L25 25 Z"
fill="white"
/>
</svg>
)
}
if (variant === 'wordmark') {
return (
<svg width={size * 4} height={size} viewBox="0 0 160 40" fill="none">
<text
x="0"
y="30"
fontFamily="Inter, sans-serif"
fontSize="24"
fontWeight="700"
fill={fillColor}
>
TechStart
</text>
</svg>
)
}
// Full logo (icon + wordmark)
return (
<svg width={size * 5} height={size} viewBox="0 0 200 40" fill="none">
<circle cx="20" cy="20" r="18" fill={fillColor} />
<path d="M15 20 L25 15 L25 25 Z" fill="white" />
<text
x="50"
y="30"
fontFamily="Inter, sans-serif"
fontSize="24"
fontWeight="700"
fill={fillColor}
>
TechStart
</text>
</svg>
)
}
Usage:
// Different logo variations
<Logo variant="full" />
<Logo variant="icon" size={32} />
<Logo variant="wordmark" color="white" />
Color Palette
Primary Brand Colors
// config/brand-colors.ts
export const brandColors = {
// Primary (main brand color)
primary: {
50: '#E6F0FF',
100: '#CCE0FF',
200: '#99C2FF',
300: '#66A3FF',
400: '#3385FF',
500: '#0066CC', // Main brand color
600: '#0052A3',
700: '#003D7A',
800: '#002952',
900: '#001429'
},
// Secondary (accent color)
secondary: {
50: '#FFF4E6',
100: '#FFE9CC',
200: '#FFD399',
300: '#FFBD66',
400: '#FFA733',
500: '#FF9100', // Main accent
600: '#CC7400',
700: '#995700',
800: '#663A00',
900: '#331D00'
},
// Neutral (grays)
neutral: {
50: '#F9FAFB',
100: '#F3F4F6',
200: '#E5E7EB',
300: '#D1D5DB',
400: '#9CA3AF',
500: '#6B7280',
600: '#4B5563',
700: '#374151',
800: '#1F2937',
900: '#111827'
},
// Semantic colors
success: '#10B981',
warning: '#F59E0B',
eHow to use brand-designer on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add brand-designer
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches brand-designer from GitHub repository daffy0208/ai-dev-standards and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate brand-designer. Access the skill through slash commands (e.g., /brand-designer) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★47 reviews- ★★★★★Kiara Yang· Dec 20, 2024
We added brand-designer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Sakura Bansal· Dec 8, 2024
brand-designer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Yuki White· Dec 4, 2024
Keeps context tight: brand-designer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Yuki Srinivasan· Nov 23, 2024
I recommend brand-designer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Tariq Jackson· Nov 11, 2024
Solid pick for teams standardizing on skills: brand-designer is focused, and the summary matches what you get after install.
- ★★★★★Kwame Desai· Oct 14, 2024
Useful defaults in brand-designer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★William Khanna· Oct 2, 2024
brand-designer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Tariq Gupta· Sep 21, 2024
Keeps context tight: brand-designer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Kiara Harris· Sep 9, 2024
Useful defaults in brand-designer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Rahul Santra· Sep 5, 2024
I recommend brand-designer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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