marketing-visual-design

vasilyu1983/ai-agents-public · updated Apr 8, 2026

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$npx skills add https://github.com/vasilyu1983/ai-agents-public --skill marketing-visual-design
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summary

Production-ready patterns for marketing visual asset creation.

skill.md

Marketing Visual Design

Production-ready patterns for marketing visual asset creation.

Scope: Ad creatives, social media graphics, email visuals, presentation design, brand collateral. NOT product UI (use software-ui-ux-design).

Primary specs & sources: data/sources.json (official docs + curated best practices).


Quick Start

  1. Pick the asset type using the decision tree.
  2. Capture requirements using assets/ (brief, carousel, deck outline).
  3. Produce a layout spec + copy variants + export plan (and a prompt pack if AI-generated).
  4. Run QA gates (readability, brand, compliance, accessibility, specs) before handoff.

Use software-ui-ux-design for product UI, marketing-cro for experiment design, and marketing-content-strategy for messaging systems.


Workflow

  1. Confirm channel + placement (paid/organic, platform, static/video, ratio).
  2. Ask intake questions (goal, audience, offer, proof, CTA, constraints, brand rules).
  3. Select a creative direction (2-3 options) and lock the core message.
  4. Build layout using the hierarchy rules (hook -> hero -> value -> CTA -> brand).
  5. Create variants for testing (3-5); change one major variable per variant.
  6. Run QA gates (specs, safe zones, readability, compliance, accessibility, export).
  7. Handoff deliverables (final exports + editable source + copy + notes).

Intake (Ask First)

  • Objective: awareness, click, lead, purchase, retention
  • Audience: who, what they care about, what they already know
  • Offer: product, price/promo, risk reversal (trial/guarantee), deadline
  • Proof: 1-2 strongest stats, testimonial, logo, rating, demo signal
  • CTA: one action verb + destination (landing page, app store, form)
  • Platform constraints: placement(s), ratio, file format, file size, duration
  • Brand constraints: logo usage, fonts, colors, imagery rules, do/don’t list
  • Compliance constraints: claims policy, regulated category, trademark usage, consent/model releases

Decision Tree

MARKETING VISUAL REQUEST
  |-- \"Ad creative\" -> references/ad-creative-specs.md
  |-- \"Social media graphic\" -> references/social-media-dimensions.md
  |-- \"Email banner\" -> references/email-visual-specs.md
  |-- \"Presentation/deck\" -> references/presentation-design.md
  |-- \"One-pager/collateral\" -> references/brand-collateral.md
  `-- \"AI-generated visual\" -> references/ai-design-tools.md

Platform Dimensions Quick Reference

Social Media (Static)

Platform Post Story/Reel Cover/Banner
Instagram 1080x1080, 1080x1350 1080x1920 N/A
Facebook 1200x630, 1080x1080 1080x1920 820x312
LinkedIn 1200x1200, 1200x628 N/A 1584x396
TikTok 1080x1080 1080x1920 N/A
YouTube N/A 1080x1920 (Shorts) 2560x1440

Ad Platforms

Platform Sizes Safe Zone Max File
Meta 1080x1080, 1080x1350 (4:5 best) 14% from edges 30MB/4GB
Google Display 300x250, 728x90, 300x600 N/A 150KB
YouTube Thumbnail 1280x720 Right-bottom 2MB
TikTok Ads 1080x1920 Top 130px, bottom 440px 500MB

For full specs and edge cases, use references/.


Visual Hierarchy for Ads

Element Priority Placement
Hook/Headline 1 Top 1/3
Hero Visual 2 Center
Value Prop 3 Middle
CTA 4 Bottom 1/3
Logo 5 Corner

Text Overlay Rules

Platform Max Text Safe Zone
Meta <20% recommended 14% from edges
TikTok Minimal Top 130px, bottom 440px
LinkedIn No strict limit Headlines <2 lines

Variant Testing (Fast Defaults)

  • Create 3-5 variants per concept: hook, hero visual, offer framing, CTA, proof.
  • Keep one major variable per variant to attribute performance.
  • Prioritize native-looking creative for social (UGC-style often wins) unless the brand requires polish.

Carousel Structure

SLIDE 1: Hook (problem or bold statement)
SLIDE 2-4: Solution/Benefits
SLIDE 5: Social proof
SLIDE 6: CTA with offer

Video Structure (Hook-Retain-Convert)

Section Duration Purpose
Hook 0-3s Stop scroll
Agitate 3-10s Amplify pain
Solution 10-20s Product demo
Proof 20-30s Testimonials
CTA 30-45s Action

AI-Generated Visuals (Operational Notes)

  • Use references/ai-design-tools.md for tool selection, prompt frameworks, and artifact avoidance.
  • Prefer brand-safe workflows: licensed stock, first-party photography, or tools with clear commercial terms.
  • Treat text-in-image as unreliable for exact typography; use AI for backgrounds/hero imagery, then typeset in design tools.

QA Gates (Run Before Delivery)

  • Specs: dimensions, aspect ratio, safe zones, duration (video), file size.
  • Readability: passes thumbnail test, high contrast, minimal on-image text.
  • Brand: correct logo, colors, fonts; consistent style across variants.
  • Compliance: avoid prohibited claims, unlicensed trademarks, misleading before/after, missing disclosures.
  • Accessibility: sufficient contrast, large-enough type, avoid text-only communication of meaning.
  • Deliverables: export naming is consistent; editable source files included.

File Formats

Use Case Format
Photos JPEG
Transparency PNG
Logos/icons SVG
Animation GIF/WebP
Print PDF
Video MP4 (H.264)

Resources

Resource Purpose
references/ad-creative-specs.md Full specs for Meta, Google, LinkedIn, TikTok
references/social-media-dimensions.md Complete platform dimensions
references/presentation-design.md Investor deck, sales deck
references/email-visual-specs.md Email design specs
references/ai-design-tools.md AI prompting, workflows
references/brand-collateral.md One-pagers, case studies
references/2026-creative-trends.md UGC-style, sensory design, Meta algorithm
references/video-creative-specs.md Video specs by platform, encoding, safe zones
references/motion-animation.md Animated ads, GIF/HTML5/Lottie, micro-interactions
references/accessibility-visual.md WCAG 2.2, contrast, alt text, inclusive design
references/creative-testing-framework.md A/B testing, DCO, fatigue detection, iteration
references/infographic-data-viz.md Chart selection, data storytelling, social infographics
references/typography-for-marketing.md Font selection, type hierarchy, readability, email font stacks
references/photography-direction.md Art direction, stock vs custom, product photography, image optimization

Templates

Template Purpose
assets/ad-creative-brief.md Creative brief
assets/social-carousel-template.md Carousel structure
assets/pitch-deck-outline.md Investor deck

International Markets

This skill uses US/Western market defaults. For international visual design:

Need See Skill
Cultural color symbolism marketing-geo-localization
Regional imagery guidelines marketing-geo-localization
RTL design adaptations marketing-geo-localization
Regional platform specs (WeChat, LINE) marketing-geo-localization

Auto-triggers: When your query mentions specific countries, cultural adaptation, or RTL design, both skills load automatically.


Related Skills

Skill Purpose
marketing-cro Landing page optimization
marketing-content-strategy Brand messaging
marketing-social-media Social strategy
marketing-paid-advertising Campaign strategy
software-ui-ux-design Product UI (not marketing)
how to use marketing-visual-design

How to use marketing-visual-design on Cursor

AI-first code editor with Composer

1

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 marketing-visual-design
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/vasilyu1983/ai-agents-public --skill marketing-visual-design

The skills CLI fetches marketing-visual-design from GitHub repository vasilyu1983/ai-agents-public and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/marketing-visual-design

Reload or restart Cursor to activate marketing-visual-design. Access the skill through slash commands (e.g., /marketing-visual-design) 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

GET_STARTED →

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. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.530 reviews
  • Aanya Mehta· Dec 4, 2024

    Registry listing for marketing-visual-design matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakshi Patil· Nov 23, 2024

    Keeps context tight: marketing-visual-design is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Aanya Smith· Nov 23, 2024

    marketing-visual-design reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Chaitanya Patil· Oct 14, 2024

    We added marketing-visual-design from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Michael Reddy· Oct 14, 2024

    marketing-visual-design is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Arya Farah· Sep 25, 2024

    marketing-visual-design has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Aarav Gonzalez· Sep 21, 2024

    Keeps context tight: marketing-visual-design is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Oshnikdeep· Sep 1, 2024

    Solid pick for teams standardizing on skills: marketing-visual-design is focused, and the summary matches what you get after install.

  • Ganesh Mohane· Aug 20, 2024

    I recommend marketing-visual-design for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Dev Kim· Aug 16, 2024

    marketing-visual-design fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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