Use when the user wants a marketing image GENERATED or an image prompt written — personal brand portraits, logos and monograms, campaign key visuals, day-to-day social graphics, editorial art, infographics, web hero mockups, and quote graphics. Reads brand identity from project context, composes an on-brand prompt, generates via gpt-image-2 when an API key exists, otherwise outputs paste-ready prompts for DALL-E 3, MidJourney, Leonardo, or Ideogram. Trigger on 'design an image', 'make me a logo', 'MidJourney prompt', 'key visual for the campaign', 'generate a graphic for this post', 'I need a visual and have no designer'. Not for — briefing a human designer on a static, see `42-image-brief-global`; a slide sequence, see `43-carousel-brief-global`; the brand rules themselves, see `46-brand-guideline-global`; scoring a finished design, see `47-design-review-global`.
Use when the user wants a marketing image GENERATED or an image prompt written — personal brand portraits, logos and monograms, campaign key visuals, day-to-day social graphics, editorial art, infographics, web hero mockups, and quote graphics. Reads brand identity from project context, composes an on-brand prompt, generates via gpt-image-2 when an API key exists, otherwise outputs paste-ready prompts for DALL-E 3, MidJourney, Leonardo, or Ideogram. Trigger on 'design an image', 'make me a logo', 'MidJourney prompt', 'key visual for the campaign', 'generate a graphic for this post', 'I need a visual and have no designer'. Not for — briefing a human designer on a static, see `42-image-brief-global`; a slide sequence, see `43-carousel-brief-global`; the brand rules themselves, see `46-brand-guideline-global`; scoring a finished design, see `47-design-review-global`.
metadata
{"version":"1.1.1","category":"design"}
triggers
["design image","create logo","campaign visual","social post design","infographic","key visual","hero web mockup","personal avatar","monogram","quote graphic","MidJourney prompt","DALL-E prompt","brand mockup","marketing visual","reference image","master prompt","brand color adaptation","add logo"]
license
MIT
related
["02-campaign-brief-global","05-ad-copy-global","22-personal-brand-context (VN-only — no EN equivalent yet)","24-ai-avatar-production (VN-only — no EN equivalent yet)"]
Design Master — 30-design-master-global
A single master skill that handles 8 design categories for ai-business-skills. One door for both personal work (founder, creator) and brand work (logo, campaign, day-to-day marketing). Reads brand identity from the project context, composes prompts in the right brand voice, and routes the request to the right tool: direct generation via gpt-image-2, paste-ready prompts for 5 popular platforms, or dispatch via Open Design infrastructure.
The skill is written in plain professional English so a non-designer client can read it, understand it, and fill it in alongside the AI. Frontmatter field names stay in English (do not translate) to keep AI parsing intact.
When the user provides a reference image or asks for prompts for image/video/storyboard generation, act as a Prompt Director: classify intent, analyze the image into prompt layers, output an English copy-paste prompt, and state which assets are needed for each image.
The 8 design categories
#
Type
Subject
When to use
Tool
1
personal-brand
Individual (founder/creator)
Profile avatar, monogram, speaker cover, personal quote graphic
Activate this mode when the user provides reference images, asks for a master prompt, wants face/color/logo replacement, or gives feedback on a failed result. Load references/prompt-director.md before composing the prompt.
Rules:
Do not start with a long questionnaire. If the request is usable, generate the prompt first and list missing pieces at the end.
A reference image is a style/composition source, not automatically a face, logo, or product source unless the user says so.
Ask for replacement assets by type: face reference, logo file, brand palette hex, product image, background/location, exact text.
Multiple images = multiple flows. Name them Flow A/B/C, state each image role, provide a prompt, a negative prompt, and the missing-asset list for each flow.
Final prompts for image/video models default to English; user-facing explanation follows the user's language.
Reference-image output skeleton:
## Image flows
| Flow | Input image | Role | Output |
|------|-------------|------|--------|
| A | [file/path] | style/composition reference | master prompt |
## Copy-paste prompt — Flow A
[English prompt]
## Negative prompt / Avoid
[English avoid list]
## Upload next to personalize Flow A- Face reference:
- Logo:
- Brand colors:
- Exact text:
- Product/background:
Runtime workflow — 5 steps
Step 1 — DETECT design type
Run the 3-layer cascade above. Print [detect type: ...] before moving to Step 2.
Step 2 — LOAD references
Load lazily, as needed:
CONVENTIONS.md — load once per session
references/prompt-director.md — load for reference images, master prompts, face/color/logo replacement, multiple images, or prompt feedback
references/<type>.md — load the file matching the type just detected (e.g. references/business-logo.md)
references/brand-identity-source.md — load whenever the type starts with business-*
references/fallback-prompt-format.md — load when the tier is Free (see Step 5)
templates/<format>.md — load the template matching the requested format (e.g. templates/poster.md, templates/social-square.md)
Step 3 — READ brand identity
Business modes (business-logo / business-campaign / marketing-day-to-day): REQUIRED — must find brand identity. Auto-search in priority order:
assets/brand/logo.{svg,png,ai} — primary logo file
brand-guideline.md / brand-identity.md at the project root
prd.md frontmatter target_user + section "Visual cues" — style direction
prd.md Section 6 — features that inform the visual concept
If nothing is found for a business mode → BLOCK + ask the user to upload a logo + specify a palette (3 hex codes) + name a primary font family.
Personal modes (personal-brand / personal quote-graphic): brand identity is optional. Enough to have style adjectives (3–5 words) + a color preference (3 mood colors).
Editorial / Infographic / Web-mockup: context-dependent — treat as business mode if the asset is for a brand, treat as personal if it's for an individual or a general-purpose piece.
COMPOSE prompt with text-minimal strategy: icons-heavy, branded palette, max 2-3 number stats, NO long paragraphs → go to Step 5
7 (web-mockup hybrid)
COMPOSE 1 hero image prompt → Step 5 + print the HTML skill recommendation block, exit gracefully after the hero is generated
8 (quote-graphic)
COMPOSE background image prompt (NO in-image text) + create an HTML overlay template (text rendered via HTML, never burned into the image)
Step 5 — CHECK API tier + GENERATE
Detect the tier in Bash:
if [[ -n "$OPENAI_API_KEY" ]]; then
TIER="pro"# direct gpt-image-2elif [[ -n "$OD_BIN" && -x "$OD_BIN" ]]; then
TIER="enterprise"# Open Design dispatcherelse
TIER="free"# prompt-only fallbackfi
Print line: [tier: <X>] [model: <Y>].
Tier
Behavior
Output
Free
No API key available
docs/design/<slug>-prompt.md with paste-ready prompts for 5 platforms (DALL-E 3, MidJourney v6, Leonardo, Imagen 3, Bing/Copilot Designer) — see references/fallback-prompt-format.md
$OD_BIN exists and is executable → dispatch via Open Design infrastructure (the existing image-poster infra)
docs/design/<slug>.png + docs/design/<slug>.md (metadata with gen_mode: api-dispatcher)
Type 7 web mockup — after generating the hero image (if Pro/Enterprise tier), print a recommendation block:
[NEXT STEP] Hero image generated. For a full multi-section interactive mockup,
also run one of:
- web-prototype (general landing/marketing page)
- saas-landing (SaaS product page)
- mobile-app (mobile app screens)
- dashboard (admin/analytics dashboard)
- frontend-design (Figma-style design tokens)
Type 8 quote graphic — output 2 files:
docs/design/<slug>-bg.png — background image generated via gpt-image-2 (NO text)
docs/design/<slug>.html — HTML overlay rendering the quote text on top of the background (HTML keeps typography crisp; avoids AI garbling letters)
Frontmatter schema for the output file
Every docs/design/<slug>.md metadata file MUST carry this frontmatter:
---title:<Imageassetname>type_artifact:image-generated|image-prompt-fallback|infographic-html|web-hero-imagemode:personal-brand|business-logo|business-campaign|marketing-day-to-day|editorial|infographic|web-mockup|quote-graphicsubject:<1-linedescription>source_brief:<pathtosourcebriefifany>brand_identity:logo_path:<pathor"none">
palette: [<hex>, <hex>, ...]
typography: <font family or "none">
style_adjectives: [<adj>, <adj>, ...]
format:poster|social-square|social-vertical|banner-hero|magazine|infographic|logo-variant|quoteaspect_ratio:1:1|9:16|16:9|3:4|4:3|customgen_mode:api-direct|api-dispatcher|fallback-prompt|hybridmodel:gpt-image-2|dall-e-3|midjourney-v6|flux|imagen-3|manualoutput_files:-<path>created:2026-05-20last_updated:2026-05-20---
Field names stay in ENGLISH — do not translate (would break AI parsing). The body of the file can be in any language the client reads.
Error handling — 8 real-world situations
Situation
How to handle
Type is ambiguous (no keyword match, no flag)
Ask 1 single question with all 8 options (see Layer 3 in Step 0)
Business mode + brand identity missing
BLOCK + ask the user to upload the logo + specify a palette (3 hex codes) + name a font family
OPENAI_API_KEY invalid / quota exceeded when calling gpt-image-2
Fall back to Free tier (prompt-only) + print an error line
Type 7 web mockup but user actually wants a full multi-section UI
Hybrid is fine: generate the hero image + attach a recommendation for web-prototype (or one of the 4 sibling skills) for the full mockup
Logo gen requested but no brand values yet
Probe with 3 questions: brand name, industry, values (3-5 words) — only then is it possible to generate a logo with any soul
Infographic text-heavy, >5 data points
Warn: "Text inside AI-generated images is unreliable. Recommend using a Canva template for text-heavy infographics." Still generate if the user confirms.
Quote graphic text >50 characters
Warn: same — recommend using a generated background only + HTML overlay (which is already the default for type 8)
User asks for a format that doesn't match the detected type
Suggest the matching mode — e.g. "landing page banner" → mode=marketing-day-to-day format=banner-hero
Anti-patterns — DO NOT
Generate a logo as the final deliverable → always produce a multi-variant set (3–5 directions) + human-review disclaimer
Burn >50 characters of text into an image — AI gen mangles long text, breaks spelling, distorts accented characters
Pass a raster web mockup off as interactive — must be hybrid + recommend an HTML skill
Skip the brand identity check on business modes — the output will look disconnected from the brand
Output a prompt that's just a keyword list (e.g. "nice cafe logo") — must follow the 5-section structured prompt framework: subject + composition + lighting + palette + style + negatives
Hardcode hex colors when the project already has a brand identity file — read from source
Translate frontmatter field names to a non-English language — breaks AI parsing
Generate >1 image per turn, unless it's a logo multi-variant set
Save only a prompt without generating the image while on Pro/Enterprise tier — wastes the API budget
Generate an image without saving a .md metadata sidecar — context is lost next time
Self-test before generating
Before every gpt-image-2 call or fallback prompt export, ask yourself:
"Does this output align with the brand voice and identity? Would a client recognize the brand when they see it? If this is personal brand work — does it reflect the style adjectives the user actually wrote down?"
If you can't confidently answer 2 out of 3 → go back to Step 3, re-read the brand identity, or probe the user with 1–2 more questions.
Examples reference
examples/personal-founder-avatar.md — Founder avatar for OPA (style: confident, warm, minimal)
examples/lattea-fall-campaign-poster.md — Key visual for the Lattéa fall campaign (palette: brown + burnt orange)
examples/ai-income-mastery-quote-graphic.md — IG quote graphic for the "AI Income Mastery" course (background + HTML overlay)
examples/opa-roadmap-infographic.md — Product roadmap infographic for OPA (icons-heavy, text minimal)
Cheat sheet — which file to load and when
When you need...
Load this file
To understand frontmatter format, output location, general prompt rules
To find the brand identity source for business mode
references/brand-identity-source.md
To format prompts for 5 platforms on the Free tier
references/fallback-prompt-format.md
To use a specific format template (poster, banner, story...)
templates/<format>.md
To see a real example output
examples/<example-name>.md
Plain English policy
This skill is written in plain professional English so a non-designer business owner can read it, follow along, and fill it in alongside the AI. Technical terms (gpt-image-2, DALL-E 3, MidJourney) are kept verbatim and briefly explained the first time they appear. Examples use realistic global-feeling brands: Lattéa (a fictional global cafe chain), Lumière Studio (creative agency), AI Income Mastery (online course), OPA (product). No throwaway placeholder brand names.
Self-test for plain-English fit: "Would a small business owner who doesn't speak design jargon understand this section?" If not — rewrite it.
