external/ui-ux-pro-max/banner-design/SKILL.md
Design banners for social media, ads, website heroes, creative assets, and print. Multiple art direction options with AI-generated visuals. Actions: design, create, generate banner. Platforms: Facebook, Twitter/X, LinkedIn, YouTube, Instagram, Google Display, website hero, print. Styles: minimalist, gradient, bold typography, photo-based, illustrated, geometric, retro, glassmorphism, 3D, neon, duotone, editorial, collage. Uses ui-ux-pro-max, frontend-design, ai-artist, ai-multimodal skills.
npx skillsauth add seikaikyo/dash-skills banner-designInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Design banners across social, ads, web, and print formats. Generates multiple art direction options per request with AI-powered visual elements. This skill handles banner design only. Does NOT handle video editing, full website design, or print production.
Python: This skill uses Python scripts. On Windows, use python instead of python3 (e.g., python scripts/search.py instead of python3 scripts/search.py).
Collect via AskUserQuestion:
docs/brand-guidelines.md)ui-ux-pro-max skill for design intelligenceNavigate to pinterest.com → search "[purpose] banner design [style]"
Screenshot 3-5 reference pins for art direction inspiration
references/banner-sizes-and-styles.mdFor each art direction option:
Create HTML/CSS banner using frontend-design skill
inject-brand-context.cjsGenerate visual elements with ai-artist + ai-multimodal skills
a) Search prompt inspiration (6000+ examples in ai-artist):
python3 .claude/skills/ai-artist/scripts/search.py "<banner style keywords>"
b) Generate with Standard model (fast, good for backgrounds/patterns):
.claude/skills/.venv/bin/python3 .claude/skills/ai-multimodal/scripts/gemini_batch_process.py \
--task generate --model gemini-2.5-flash-image \
--prompt "<banner visual prompt>" --aspect-ratio <platform-ratio> \
--size 2K --output assets/banners/
c) Generate with Pro model (4K, complex illustrations/hero visuals):
.claude/skills/.venv/bin/python3 .claude/skills/ai-multimodal/scripts/gemini_batch_process.py \
--task generate --model gemini-3-pro-image-preview \
--prompt "<creative banner prompt>" --aspect-ratio <platform-ratio> \
--size 4K --output assets/banners/
When to use which model: | Use Case | Model | Quality | |----------|-------|---------| | Backgrounds, gradients, patterns | Standard (Flash) | 2K, fast | | Hero illustrations, product shots | Pro | 4K, detailed | | Photorealistic scenes, complex art | Pro | 4K, best quality | | Quick iterations, A/B variants | Standard (Flash) | 2K, fast |
Aspect ratios: 1:1, 16:9, 9:16, 3:4, 4:3, 2:3, 3:2
Match to platform - e.g., Twitter header = 3:1 (use 3:2 closest), Instagram story = 9:16
Pro model prompt tips (see ai-artist references/nano-banana-pro-examples.md):
Compose final banner — overlay text, CTA, logo on generated visual in HTML/CSS
After designing HTML banners, export each to PNG using chrome-devtools skill:
# Export banner to PNG at exact dimensions
node .claude/skills/chrome-devtools/scripts/screenshot.js \
--url "http://localhost:8765/banner-01-minimalist.html" \
--width 1500 --height 500 \
--output "assets/banners/{campaign}/{variant}-{size}.png"
# With custom max size threshold
node .claude/skills/chrome-devtools/scripts/screenshot.js \
--url "http://localhost:8765/banner-02-gradient.html" \
--width 1500 --height 500 --max-size 3 \
--output "assets/banners/{campaign}/{variant}-{size}.png"
Output path convention (per assets-organizing skill):
assets/banners/{campaign}/
├── minimalist-1500x500.png
├── gradient-1500x500.png
├── bold-type-1500x500.png
├── minimalist-1080x1080.png # if multi-size requested
└── ...
{style}-{width}x{height}.{ext}{YYMMDD}-{style}-{size}.pngPresent all exported images side-by-side. For each option show:
ai-multimodal skill to display if needed)Iterate based on user feedback until approved.
| Platform | Type | Size (px) | Aspect Ratio | |----------|------|-----------|--------------| | Facebook | Cover | 820 × 312 | ~2.6:1 | | Twitter/X | Header | 1500 × 500 | 3:1 | | LinkedIn | Personal | 1584 × 396 | 4:1 | | YouTube | Channel art | 2560 × 1440 | 16:9 | | Instagram | Story | 1080 × 1920 | 9:16 | | Instagram | Post | 1080 × 1080 | 1:1 | | Google Ads | Med Rectangle | 300 × 250 | 6:5 | | Google Ads | Leaderboard | 728 × 90 | 8:1 | | Website | Hero | 1920 × 600-1080 | ~3:1 |
Full reference: references/banner-sizes-and-styles.md
| Style | Best For | Key Elements | |-------|----------|--------------| | Minimalist | SaaS, tech | White space, 1-2 colors, clean type | | Bold Typography | Announcements | Oversized type as hero element | | Gradient | Modern brands | Mesh gradients, chromatic blends | | Photo-Based | Lifestyle, e-com | Full-bleed photo + text overlay | | Geometric | Tech, fintech | Shapes, grids, abstract patterns | | Retro/Vintage | F&B, craft | Distressed textures, muted colors | | Glassmorphism | SaaS, apps | Frosted glass, blur, glow borders | | Neon/Cyberpunk | Gaming, events | Dark bg, glowing neon accents | | Editorial | Media, luxury | Grid layouts, pull quotes | | 3D/Sculptural | Product, tech | Rendered objects, depth, shadows |
Full 22 styles: references/banner-sizes-and-styles.md
inject-brand-context.cjstools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.