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Marketing brand-asset generation (raster images via AI): logo design (55 styles, 30 palettes, 25 industries), corporate identity / CIP mockups (50 deliverables — business card, letterhead, signage, packaging, apparel), banner design (22 styles, social/ads/web/print), SVG icon design (15 styles), social photos (multi-platform), and model-agnostic poster prompts. Default image engine is Codex gpt-image-2 (ChatGPT subscription via `codex login`), attaching the brand logo as a reference image for CIP compositing; falls back to Gemini Nano Banana (GEMINI_API_KEY, same key as omnimedia). Actions: design logo, create CIP / brand identity, generate mockups, design banner, generate icon, create social photos, design poster, social media images. Platforms: Facebook, Twitter, LinkedIn, YouTube, Instagram, Pinterest, TikTok, Threads, Google Ads. For HTML/web pages, dashboards, and slide decks, use opendesign instead.
How this skill is triggered — by the user, by Claude, or both
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/vd:marketing-design [design-type] [context][design-type] [context]The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Unified marketing brand-asset skill: logo, CIP, banners, SVG icons, social photos, posters. Generates **raster images** — default engine is **Codex gpt-image-2** (ChatGPT subscription, `codex login`), falling back to **Gemini Nano Banana** (`GEMINI_API_KEY`, the same key `omnimedia` uses). For HTML/web artifacts and slide decks, use `opendesign`.
data/cip/deliverables.csvdata/cip/industries.csvdata/cip/mockup-contexts.csvdata/cip/styles.csvdata/icon/styles.csvdata/logo/colors.csvdata/logo/industries.csvdata/logo/styles.csvdata/poster/analysis/clusters.jsondata/poster/analysis/raw/03830de3c6fa0bec270ba0d7fc0e7846.jsondata/poster/analysis/raw/0720a64949fc9de76f4ef558c4a2a255.jsondata/poster/analysis/raw/0d2b819566c50e78e085d92cfc86d027.jsondata/poster/analysis/raw/11a3b9453165c20f093ba2b23dd88d12.jsondata/poster/analysis/raw/1327e16933d7c1a9f29e0b7427088724.jsondata/poster/analysis/raw/19b3f41ac3316417b7b3c05b6f259f78.jsondata/poster/analysis/raw/1d3081c243a0158eef6ac3f75fc9b210.jsondata/poster/analysis/raw/1e087bf80f15859a8c25f64c1f60eb05.jsondata/poster/analysis/raw/206bbb22ad70bdf9424a352c53885ded.jsondata/poster/analysis/raw/208f93c9e0e26a587c675482bb6159c0.jsondata/poster/analysis/raw/20a8613560d7b6950b3bb60f3b305ee9.jsonUnified marketing brand-asset skill: logo, CIP, banners, SVG icons, social photos, posters. Generates raster images — default engine is Codex gpt-image-2 (ChatGPT subscription, codex login), falling back to Gemini Nano Banana (GEMINI_API_KEY, the same key omnimedia uses). For HTML/web artifacts and slide decks, use opendesign.
Not this skill: HTML/web pages, dashboards, and slide decks →
opendesign. Token systems / shadcn-Tailwind code →vd:webdesign.
All built-in modules are self-contained (references + scripts + data in this skill). Route HTML artifacts and frontend implementation to the installed repo skills listed below.
| Task | Sub-skill | Details |
|---|---|---|
| Static HTML artifacts, decks | vd:opendesign | Self-contained HTML/CSS artifacts |
| Frontend UI, tokens, shadcn/Tailwind code | vd:webdesign | App UI design/build/review/test |
| Full-stack FastAPI + React apps | vd:fastreact | Mockup-first app scaffolding |
| Logo creation, AI generation | Logo (built-in) | references/logo-design.md |
| CIP mockups, deliverables | CIP (built-in) | references/cip-design.md |
| Presentations, pitch decks | vd:opendesign | Use opendesign for slide decks (HTML) |
| Banners, covers, headers | Banner (built-in) | references/banner-sizes-and-styles.md |
| Social media images/photos | Social Photos (built-in) | references/social-photos-design.md |
| SVG icons, icon sets | Icon (built-in) | references/icon-design.md |
| Posters (event, editorial, marketing) | Poster (built-in) | references/poster-design.md |
Raster generators (logo, cip) default to Codex $imagegen (gpt-image-2) on the ChatGPT subscription — no API key. One-time setup: brew install codex && codex login. If Codex is unavailable (not installed / not logged in / quota), they fall back to Gemini automatically.
| Generator | Default engine | Reference image | Force Gemini | Notes |
|---|---|---|---|---|
logo | Codex gpt-image-2 | — | --provider gemini | --batch always uses Gemini (Codex = one image/turn) |
cip | Codex gpt-image-2 | brand logo via --logo (attached as -i reference) | --provider gemini | large --set faster on Gemini |
icon | Gemini (SVG code, not raster) | — | n/a | Codex can't emit SVG markup |
poster | model-agnostic prompt emitter | — | n/a | prints a prompt for any image model |
banner / social photos | HTML→screenshot | — | n/a | not direct AI image gen |
--provider: codex (default) · gemini (force Nano Banana) · auto (codex→gemini). Codex takes 5–30s/image. Reference-image compositing requires codex-cli ≥ 0.137.
55+ styles, 30 color palettes, 25 industry guides. Default engine: Codex gpt-image-2 (Gemini fallback).
python3 ~/.claude/skills/marketing-design/scripts/logo/search.py "tech startup modern" --design-brief -p "BrandName"
python3 ~/.claude/skills/marketing-design/scripts/logo/search.py "minimalist clean" --domain style
python3 ~/.claude/skills/marketing-design/scripts/logo/search.py "tech professional" --domain color
python3 ~/.claude/skills/marketing-design/scripts/logo/search.py "healthcare medical" --domain industry
ALWAYS generate output logo images with white background.
# Default: Codex gpt-image-2 (run `codex login` once)
python3 ~/.claude/skills/marketing-design/scripts/logo/generate.py --brand "TechFlow" --style minimalist --industry tech
python3 ~/.claude/skills/marketing-design/scripts/logo/generate.py --prompt "coffee shop vintage badge" --style vintage
# Force Gemini Nano Banana (e.g. for aspect-ratio control or --pro)
python3 ~/.claude/skills/marketing-design/scripts/logo/generate.py --brand "TechFlow" --provider gemini --pro
# Variant batch (Gemini — Codex has no batch mode)
python3 ~/.claude/skills/marketing-design/scripts/logo/generate.py --brand "TechFlow" --batch 9 --output-dir ./logos
IMPORTANT: When scripts fail, try to fix them directly.
After generation, ask whether the user wants an HTML preview gallery. If yes, use vd:opendesign for a static gallery artifact.
50+ deliverables, 20 styles, 20 industries. Default engine: Codex gpt-image-2 with the brand logo attached as a reference image (-i); Gemini Nano Banana fallback.
python3 ~/.claude/skills/marketing-design/scripts/cip/search.py "tech startup" --cip-brief -b "BrandName"
python3 ~/.claude/skills/marketing-design/scripts/cip/search.py "business card letterhead" --domain deliverable
python3 ~/.claude/skills/marketing-design/scripts/cip/search.py "luxury premium elegant" --domain style
python3 ~/.claude/skills/marketing-design/scripts/cip/search.py "hospitality hotel" --domain industry
python3 ~/.claude/skills/marketing-design/scripts/cip/search.py "office reception" --domain mockup
# With logo (RECOMMENDED)
python3 ~/.claude/skills/marketing-design/scripts/cip/generate.py --brand "TopGroup" --logo /path/to/logo.png --deliverable "business card" --industry "consulting"
# Full CIP set
python3 ~/.claude/skills/marketing-design/scripts/cip/generate.py --brand "TopGroup" --logo /path/to/logo.png --industry "consulting" --set
# Pro model (4K text)
python3 ~/.claude/skills/marketing-design/scripts/cip/generate.py --brand "TopGroup" --logo logo.png --deliverable "business card" --model pro
# Without logo
python3 ~/.claude/skills/marketing-design/scripts/cip/generate.py --brand "TechFlow" --deliverable "business card" --no-logo-prompt
# Force Gemini (faster for large --set)
python3 ~/.claude/skills/marketing-design/scripts/cip/generate.py --brand "TopGroup" --logo logo.png --industry "consulting" --set --provider gemini
Engines: Codex gpt-image-2 (default, logo attached as reference image). Gemini fallback models — --model flash (gemini-2.5-flash-image), --model pro (gemini-3-pro-image-preview).
python3 ~/.claude/skills/marketing-design/scripts/cip/render-html.py --brand "TopGroup" --industry "consulting" --images /path/to/cip-output
Tip: If no logo exists, use Logo Design section above first.
22 art direction styles across social, ads, web, print. Uses the built-in banner reference, this skill's raster generation flow when imagery is needed, and browser/Playwright screenshots for exact-pixel export.
Load references/banner-sizes-and-styles.md for complete sizes and styles reference.
| Platform | Type | Size (px) |
|---|---|---|
| Cover | 820 x 312 | |
| Twitter/X | Header | 1500 x 500 |
| Personal | 1584 x 396 | |
| YouTube | Channel art | 2560 x 1440 |
| Story | 1080 x 1920 | |
| Post | 1080 x 1080 | |
| Google Ads | Med Rectangle | 300 x 250 |
| Website | Hero | 1920 x 600-1080 |
| Style | Best For |
|---|---|
| Minimalist | SaaS, tech |
| Bold Typography | Announcements |
| Gradient | Modern brands |
| Photo-Based | Lifestyle, e-com |
| Geometric | Tech, fintech |
| Glassmorphism | SaaS, apps |
| Neon/Cyberpunk | Gaming, events |
15 styles, 12 categories. Gemini 3.1 Pro Preview generates SVG text output.
python3 ~/.claude/skills/marketing-design/scripts/icon/generate.py --prompt "settings gear" --style outlined
python3 ~/.claude/skills/marketing-design/scripts/icon/generate.py --prompt "shopping cart" --style filled --color "#6366F1"
python3 ~/.claude/skills/marketing-design/scripts/icon/generate.py --name "dashboard" --category navigation --style duotone
python3 ~/.claude/skills/marketing-design/scripts/icon/generate.py --prompt "cloud upload" --batch 4 --output-dir ./icons
python3 ~/.claude/skills/marketing-design/scripts/icon/generate.py --prompt "user profile" --sizes "16,24,32,48" --output-dir ./icons
| Style | Best For |
|---|---|
| outlined | UI interfaces, web apps |
| filled | Mobile apps, nav bars |
| duotone | Marketing, landing pages |
| rounded | Friendly apps, health |
| sharp | Tech, fintech, enterprise |
| flat | Material design, Google-style |
| gradient | Modern brands, SaaS |
Model: gemini-3.1-pro-preview — text-only output (SVG is XML text). No image generation API needed.
20-30 curated styles × 15-20 palettes × 10-14 layouts × 8-12 textures. Model-agnostic — emits text prompts only. Use any image model (Gemini Nano Banana 2, GPT Image, Imagen, Midjourney).
Three axes (style, palette, texture) locked per call to preserve identity; layout + variation seed randomized to guarantee per-call variety. 5 calls with same --style → 5 visibly distinct posters that read as one series.
Load references/poster-design.md for the full guide and references/poster-prompt-engineering.md for prompt anatomy + model-specific tweaks.
~/.claude/skills/.venv/bin/python3 ~/.claude/skills/marketing-design/scripts/poster/search.py --domain style --query "swiss editorial"
~/.claude/skills/.venv/bin/python3 ~/.claude/skills/marketing-design/scripts/poster/search.py --domain palette --query "warm earthy"
~/.claude/skills/.venv/bin/python3 ~/.claude/skills/marketing-design/scripts/poster/search.py --domain texture --query "risograph"
~/.claude/skills/.venv/bin/python3 ~/.claude/skills/marketing-design/scripts/poster/search.py --domain layout --query "centered grid"
~/.claude/skills/.venv/bin/python3 ~/.claude/skills/marketing-design/scripts/poster/search.py --poster-brief --topic "AI Conference" --query "minimal grid"
~/.claude/skills/.venv/bin/python3 ~/.claude/skills/marketing-design/scripts/poster/generate.py --topic "AI Conference"
~/.claude/skills/.venv/bin/python3 ~/.claude/skills/marketing-design/scripts/poster/generate.py --topic "AI Conference" --query "swiss" --aspect a2
~/.claude/skills/.venv/bin/python3 ~/.claude/skills/marketing-design/scripts/poster/generate.py --topic "AI Conference" --style "Swiss Editorial Grid" --seed 42
Pipe stdout into any image-gen model. For series: same --style, different --seed values (lock identity, vary composition).
# Vision analysis (resume-safe; needs GEMINI_API_KEY)
~/.claude/skills/.venv/bin/python3 ~/.claude/skills/marketing-design/scripts/poster/analyze.py --input-dir /path/to/posters
# Re-cluster + regenerate CSVs
~/.claude/skills/.venv/bin/python3 ~/.claude/skills/marketing-design/scripts/poster/cluster.py
Multi-platform social image design: HTML/CSS → screenshot export. Uses built-in social templates, brand context from the brief, and Browser/Playwright screenshots.
Load references/social-photos-design.md for sizes, templates, best practices.
Reports: path with design decisions| Platform | Size (px) | Platform | Size (px) |
|---|---|---|---|
| IG Post | 1080×1080 | FB Post | 1200×630 |
| IG Story | 1080×1920 | X Post | 1200×675 |
| IG Carousel | 1080×1350 | 1200×627 | |
| YT Thumb | 1280×720 | 1000×1500 |
scripts/logo/generate.py → Generate logo variantsscripts/cip/generate.py --logo ... → Create deliverable mockupsopendesign to build the pitch deck (HTML)vd:opendesign) → Explore page/deck directionvd:webdesign) → Configure Tailwind, shadcn/ui, and frontend screens| Topic | File |
|---|---|
| Design Routing | references/design-routing.md |
| Logo Design Guide | references/logo-design.md |
| Logo Styles | references/logo-style-guide.md |
| Logo Colors | references/logo-color-psychology.md |
| Logo Prompts | references/logo-prompt-engineering.md |
| CIP Design Guide | references/cip-design.md |
| CIP Deliverables | references/cip-deliverable-guide.md |
| CIP Styles | references/cip-style-guide.md |
| CIP Prompts | references/cip-prompt-engineering.md |
| Banner Sizes & Styles | references/banner-sizes-and-styles.md |
| Social Photos Guide | references/social-photos-design.md |
| Icon Design Guide | references/icon-design.md |
| Poster Design Guide | references/poster-design.md |
| Poster Prompt Engineering | references/poster-prompt-engineering.md |
| Script | Purpose |
|---|---|
scripts/logo/search.py | Search logo styles, colors, industries |
scripts/logo/generate.py | Generate logos with Gemini AI |
scripts/logo/core.py | BM25 search engine for logo data |
scripts/cip/search.py | Search CIP deliverables, styles, industries |
scripts/cip/generate.py | Generate CIP mockups with Gemini |
scripts/cip/render-html.py | Render HTML presentation from CIP mockups |
scripts/cip/core.py | BM25 search engine for CIP data |
scripts/icon/generate.py | Generate SVG icons with Gemini 3.1 Pro |
scripts/poster/analyze.py | Vision-extract design tokens from poster images |
scripts/poster/cluster.py | Cluster into 4 CSVs (style/palette/layout/texture) |
scripts/poster/search.py | BM25 search + brief assembly across poster CSVs |
scripts/poster/generate.py | Emit text prompt for any image-gen model |
export GEMINI_API_KEY="your-key" # https://aistudio.google.com/apikey
pip install google-genai pillow
Related skills: vd:opendesign, vd:webdesign, vd:fastreact, vd:omnimedia
npx claudepluginhub vanducng/skills --plugin vdProvides behavioral guidelines to reduce common LLM coding mistakes, focusing on simplicity, surgical changes, assumption surfacing, and verifiable success criteria.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Creates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.