marketing-design · v1.0.0 · 2026-06-19 · sha256 65dbea0be828d3a5
marketing-design v1.0.0A
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--- name: marketing-design description: "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." argument-hint: "[design-type] [context]" license: MIT metadata: author: vanducng version: "1.0.0" --- # Marketing Design 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`. ## When to Use - Logo design and AI generation - Corporate identity program (CIP) deliverables — business card, letterhead, signage, packaging, apparel - Brand visual identity assets - Banner design for social media, ads, web, print - Social photos for Instagram, Facebook, LinkedIn, Twitter, Pinterest, TikTok - Poster design (event, editorial, marketing) with locked-style + varied-composition prompts - SVG icons and icon sets > Not this skill: HTML/web pages, dashboards, and slide decks → `opendesign`. Token systems / shadcn-Tailwind code → `vd:uiuxdesign`. ## Sub-skill Routing 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:uiuxdesign` | 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` | ## Image Generation Backend 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. ## Logo Design (Built-in) 55+ styles, 30 color palettes, 25 industry guides. Default engine: **Codex gpt-image-2** (Gemini fallback). ### Logo: Generate Design Brief ```bash python3 ~/.claude/skills/marketing-design/scripts/logo/search.py "tech startup modern" --design-brief -p "BrandName" ``` ### Logo: Search Styles/Colors/Industries ```bash 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 ``` ### Logo: Generate with AI **ALWAYS** generate output logo images with white background. ```bash # 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. ## CIP Design (Built-in) 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. ### CIP: Generate Brief ```bash python3 ~/.claude/skills/marketing-design/scripts/cip/search.py "tech startup" --cip-brief -b "BrandName" ``` ### CIP: Search Domains ```bash 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 ``` ### CIP: Generate Mockups ```bash # 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`). ### CIP: Render HTML Presentation ```bash 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. ## Banner Design (Built-in) 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. ### Banner: Workflow 1. **Gather requirements** — purpose, platform, content, brand, style, quantity 2. **Research** — collect visual references only when the brief lacks a clear direction 3. **Design** — create HTML/CSS banner variants; generate raster visuals through this skill's image flow when needed 4. **Export** — screenshot to PNG at exact dimensions via Browser, Playwright, or Chrome 5. **Present** — Show all options side-by-side, iterate on feedback ### Banner: Quick Size Reference | Platform | Type | Size (px) | |----------|------|-----------| | Facebook | Cover | 820 x 312 | | Twitter/X | Header | 1500 x 500 | | LinkedIn | Personal | 1584 x 396 | | YouTube | Channel art | 2560 x 1440 | | Instagram | Story | 1080 x 1920 | | Instagram | Post | 1080 x 1080 | | Google Ads | Med Rectangle | 300 x 250 | | Website | Hero | 1920 x 600-1080 | ### Banner: Top Art Styles | 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 | ### Banner: Design Rules - Safe zones: critical content in central 70-80% - One CTA per banner, bottom-right, min 44px height - Max 2 fonts, min 16px body, ≥32px headline - Text under 20% for ads (Meta penalizes) - Print: 300 DPI, CMYK, 3-5mm bleed ## Icon Design (Built-in) 15 styles, 12 categories. Gemini 3.1 Pro Preview generates SVG text output. ### Icon: Generate Single Icon ```bash 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 ``` ### Icon: Generate Batch Variations ```bash python3 ~/.claude/skills/marketing-design/scripts/icon/generate.py --prompt "cloud upload" --batch 4 --output-dir ./icons ``` ### Icon: Multi-size Export ```bash python3 ~/.claude/skills/marketing-design/scripts/icon/generate.py --prompt "user profile" --sizes "16,24,32,48" --output-dir ./icons ``` ### Icon: Top Styles | 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. ## Poster Design (Built-in) 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. ### Poster: Search Knowledge Base ```bash ~/.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" ``` ### Poster: Build Brief ```bash ~/.claude/skills/.venv/bin/python3 ~/.claude/skills/marketing-design/scripts/poster/search.py --poster-brief --topic "AI Conference" --query "minimal grid" ``` ### Poster: Generate Prompt ```bash ~/.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). ### Poster: Rebuild Knowledge Base ```bash # 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 ``` ## Social Photos (Built-in) 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. ### Social Photos: Workflow 1. **Orchestrate** — track variants and parallelize independent work when useful 2. **Analyze** — Parse prompt: subject, platforms, style, brand context, content elements 3. **Ideate** — 3-5 concepts and present concise options 4. **Design** — apply brand tokens from the brief; build HTML per idea × size 5. **Export** — Browser or Playwright screenshot at exact px (2x deviceScaleFactor) 6. **Verify** — visually inspect exported designs; fix layout/styling issues and re-export 7. **Report** — Summary to the injected `Reports:` path with design decisions 8. **Organize** — sort output files and reports under the chosen artifact directory ### Social Photos: Key Sizes | 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 | LinkedIn | 1200×627 | | YT Thumb | 1280×720 | Pinterest | 1000×1500 | ## Workflows ### Complete Brand Package 1. **Logo** → `scripts/logo/generate.py` → Generate logo variants 2. **CIP** → `scripts/cip/generate.py --logo ...` → Create deliverable mockups 3. **Presentation** → use `opendesign` to build the pitch deck (HTML) ### New Design System 1. **Brand assets** (this skill) → Define visual direction and generate marks/mockups 2. **HTML artifact** (`vd:opendesign`) → Explore page/deck direction 3. **Implement** (`vd:uiuxdesign`) → Configure Tailwind, shadcn/ui, and frontend screens ## References | 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` | ## Scripts | 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 | ## Setup ```bash export GEMINI_API_KEY="your-key" # https://aistudio.google.com/apikey pip install google-genai pillow ``` ## Integration **Related skills:** `vd:opendesign`, `vd:uiuxdesign`, `vd:fastreact`, `vd:omnimedia`