Agent skill

Design Master

by minhnv0807 in minhnv0807/ai-business-skills

Handles eight kinds of marketing visual requests, from logos and campaign key visuals to infographics and quote graphics, by generating images or writing paste-ready prompts.

MITAuto-check passedMedia & Creative

Install Design Master

skills CLI
$ npx skills add minhnv0807/ai-business-skills --skill 30-design-master-global -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install minhnv0807/ai-business-skills 30-design-master-global --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/en/30-design-master-global .claude/skills/30-design-master-global && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
30-design-master-global
GitHub stars
609
Token cost
~4.6k tokens
SKILL.md length
1,862 words
Files
35 (incl. references)
Skills in repo
142
Repo updated
First seen
Licence
MIT

At a glance

Handles eight kinds of marketing visual requests, from logos and campaign key visuals to infographics and quote graphics, by generating images or writing paste-ready prompts.

  • Works in 5 steps: DETECT design type → LOAD references → READ brand identity → …
  • Generating a logo, monogram or founder portrait without a designer
  • SKILL.md covers The 8 design categories, When to trigger / when NOT to…, Mode detection cascade (Step 0) and Prompt Director mode, plus 8 more sections
  • Needs OPENAI_API_KEY

What it does

One master skill covers personal brand visuals, business logos, campaign visuals, day-to-day marketing graphics, editorial art, infographics, web mockups and quote graphics. It reads brand identity from the project context, composes a prompt in the brand's voice and routes the request: direct generation with gpt-image-2 when an API key exists, or paste-ready prompts for DALL-E 3, MidJourney, Leonardo or Ideogram otherwise. Logos come as several directions with a human-review disclaimer, while web mockups and quote graphics are hybrids that pair a generated image with HTML for the interactive or text layer.

When you supply a reference image or ask for prompts for images, video or storyboards, the agent acts as a prompt director: it classifies intent, breaks the image into prompt layers, writes an English copy-paste prompt and states which assets each image needs. Briefing a human designer, slide sequences, brand rules and scoring a finished design belong to sibling skills. Per-type reference files and four worked examples are included, and the text is written in plain English for non-designers.

When your agent uses it

  • Generating a logo, monogram or founder portrait without a designer
  • Getting a campaign key visual or social graphic in the brand's style
  • Writing a MidJourney or DALL-E prompt from a reference image
  • Producing an infographic or quote graphic for a post

Example prompts

  • “Make me a logo for my coffee brand and give me three directions.”
  • “Write a MidJourney prompt for the autumn campaign key visual.”
  • “Generate a quote graphic for my LinkedIn post with a clean background.”
  • “Here is a reference poster; write a copy-paste prompt that recreates its style.”

Requirements

  • An OpenAI image API key for direct gpt-image-2 generation, or another tool to paste prompts into

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. DETECT design type
  2. LOAD references
  3. READ brand identity
  4. ROUTE by type
  5. CHECK API tier + GENERATE

What it can do on your machine

Read from SKILL.md and the folder at commit 0360adc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown, bash and yaml).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • OPENAI_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Design Master loads about 4.6k tokens when it runs, and up to ~22k if it reads all its reference files. Until then it costs about 225 tokens; SKILL.md has 1,862 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~225
When it runs · the whole SKILL.md, loaded when a task matches
~4.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~22k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from minhnv0807/ai-business-skills at commit 0360adc, republished under its MIT licence (© minhnv0807). 1,862 words, ~4,564 tokens.

Download SKILL.mdSave it as .claude/skills/30-design-master-global/SKILL.md (or your agent's skills folder). This skill also uses 34 other files; get the full folder from GitHub.
name
30-design-master-global
description
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
metadata.category
design
triggers
design image, create logo, campaign visual, social post design, infographic, key visual, hero web mockup, personal avatar, monogram, quote graphic, MidJourney…
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…

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

#TypeSubjectWhen to useTool
1personal-brandIndividual (founder/creator)Profile avatar, monogram, speaker cover, personal quote graphicgpt-image-2 raster
2business-logoBrand logo identityLogo primary/secondary/markgpt-image-2 multi-variant 3-5 directions + human-review disclaimer
3business-campaignBrand campaign visualTVC still, OOH, product hero, campaign key visualgpt-image-2 raster
4marketing-day-to-dayOperational marketingSocial post, banner ad, email header, storygpt-image-2 raster
5editorialLong-form publicationMagazine cover, article hero, e-book, lookbookgpt-image-2 raster
6infographicData/plan/process visualizationRoadmap, process flow, comparison chartgpt-image-2 (text-minimal, icons-focused)
7web-mockupUI screen sketchLanding hero, app screen mockupHybrid: gen 1 hero image via gpt-image-2 + recommend HTML skills for the full interactive mockup
8quote-graphicQuote post"Guru post" IG, LinkedIn quote, motivationalHybrid: gpt-image-2 background + HTML text overlay

When to trigger / when NOT to trigger

Triggers (invoke this skill)
  • "design image", "create logo", "campaign poster", "campaign banner"
  • "social post design", "infographic", "key visual", "hero web mockup"
  • "marketing visual", "personal avatar", "monogram", "quote graphic"
  • "MidJourney prompt", "DALL-E prompt", "Leonardo prompt", "Imagen prompt"
DO NOT INVOKE (route to a different skill)
CaseRoute to
Full interactive web UI mockup (multi-section, with behavior)web-prototype / saas-landing / mobile-app / dashboard / frontend-design
Video creation (TVC, ad video, UGC)04-script-video-global + Seedance/Kling/Sora dispatcher
Animation, motion graphics, spritemotion-frames / sprite-animation
Audio asset (jingle, voiceover, SFX)audio-jingle
Document layout (PDF report, multi-page e-guide)digital-eguide / finance-report / magazine-poster

Mode detection cascade (Step 0)

Three layers of type detection, in priority order:

Layer 1 — Keyword auto-detect
KeywordDetected type
"avatar", "profile picture", "monogram", "speaker cover", "headshot"personal-brand
"logo", "wordmark", "lockup", "brand mark"business-logo
"key visual", "campaign visual", "TVC still", "OOH", "product hero"business-campaign
"social post", "banner ad", "email header", "IG story", "Facebook post"marketing-day-to-day
"magazine cover", "article hero", "e-book cover", "editorial", "lookbook"editorial
"infographic", "roadmap visual", "process flow", "comparison chart", "data viz"infographic
"hero web", "landing hero image", "app screen mockup"web-mockup
"quote", "quote graphic", "guru post", "motivational post"quote-graphic
"reference image", "same style", "same composition", "master prompt", "based on this image"keep detected type + activate Prompt Director reference mode
"change color", "brand color", "add logo", "replace logo", "match brand guideline"keep detected type + activate Prompt Director brand adaptation
"too AI-looking", "not realistic", "wrong color", "wrong angle", "revise prompt"keep detected type + activate Prompt Director diagnosis
Layer 2 — Explicit flag

The user passes --type=business-logo (or one of the other 7 types) → overrides Layer 1.

Layer 3 — Ambiguous fallback

If nothing matches and no flag is set → ask one single question:

"Which of the 8 design types is this?

  1. personal-brand 2) business-logo 3) business-campaign 4) marketing-day-to-day 5) editorial 6) infographic 7) web-mockup 8) quote-graphic"

Print a transparency line before continuing:

[detect type: business-logo — matched keyword "logo" + brand name "Lattéa"]

Prompt Director mode

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:

markdown
## 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:

  1. assets/brand/logo.{svg,png,ai} — primary logo file
  2. brand-guideline.md / brand-identity.md at the project root
  3. 02-campaign-brief-global/output.md section "Brand mandatories" — campaign brief carries brand constraints
  4. prd.md frontmatter target_user + section "Visual cues" — style direction
  5. 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.

Step 4 — ROUTE by type
TypeRoute action
1–5 (personal-brand, business-logo, business-campaign, marketing-day-to-day, editorial)COMPOSE raster prompt → go to Step 5
6 (infographic)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:

bash
if [[ -n "$OPENAI_API_KEY" ]]; then
  TIER="pro"   # direct gpt-image-2
elif [[ -n "$OD_BIN" && -x "$OD_BIN" ]]; then
  TIER="enterprise"   # Open Design dispatcher
else
  TIER="free"   # prompt-only fallback
fi

Print line: [tier: <X>] [model: <Y>].

TierBehaviorOutput
FreeNo API key availabledocs/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
ProOPENAI_API_KEY is set → call gpt-image-2 directlydocs/design/<slug>.png + docs/design/<slug>.md (metadata)
Enterprise$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)

Show full SKILL.md (703 more words)Show less

Frontmatter schema for the output file

Every docs/design/<slug>.md metadata file MUST carry this frontmatter:

yaml
---
title: <Image asset name>
type_artifact: image-generated | image-prompt-fallback | infographic-html | web-hero-image
mode: personal-brand | business-logo | business-campaign | marketing-day-to-day | editorial | infographic | web-mockup | quote-graphic
subject: <1-line description>
source_brief: <path to source brief if any>
brand_identity:
  logo_path: <path or "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 | quote
aspect_ratio: 1:1 | 9:16 | 16:9 | 3:4 | 4:3 | custom
gen_mode: api-direct | api-dispatcher | fallback-prompt | hybrid
model: gpt-image-2 | dall-e-3 | midjourney-v6 | flux | imagen-3 | manual
output_files:
  - <path>
created: 2026-05-20
last_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

SituationHow 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 missingBLOCK + 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-2Fall back to Free tier (prompt-only) + print an error line
Type 7 web mockup but user actually wants a full multi-section UIHybrid 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 yetProbe 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 pointsWarn: "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 charactersWarn: 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 typeSuggest 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 rulesCONVENTIONS.md
Reference images, master prompts, face/color/logo replacement, prompt diagnosisreferences/prompt-director.md
To compose a prompt for one of the 8 typesreferences/<type>.md (e.g. references/business-logo.md)
To find the brand identity source for business modereferences/brand-identity-source.md
To format prompts for 5 platforms on the Free tierreferences/fallback-prompt-format.md
To use a specific format template (poster, banner, story...)templates/<format>.md
To see a real example outputexamples/<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.

© minhnv0807, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 34 other files (references) in skills/en/30-design-master-global of minhnv0807/ai-business-skills.

  • SKILL.md
  • CONVENTIONS.md
  • examples/ai-income-mastery-quote-graphic.md
  • examples/global-roadmap-infographic.md
  • examples/lattea-fall-campaign-poster.md
  • examples/personal-founder-avatar.md
  • references/brand-identity-source.md
  • references/business-campaign.md
  • references/business-logo.md
  • references/editorial.md
  • references/fallback-prompt-format.md
  • references/gpt-image-2-spec.md
  • references/infographic.md
  • references/marketing-day-to-day.md
  • references/personal-brand.md
  • references/prompt-director.md
  • references/quote-graphic.md
  • references/web-mockup-routing.md
  • templates
  • … and 16 more

Open the folder on GitHubat commit 0360adc

Compare with similar skills

Design Master next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Design Master compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Design Master this skillminhnv0807/ai-business-skills609—~4.6kAutomated safety check: PassMIT
Image Generationonyx-dot-app/onyx32k1 repos~1.7kAutomated safety check: PassCustom licence
CarouselsTheCraigHewitt/skills159—~2.3kAutomated safety check: PassMIT
Direct Image Creationopenvetta/open-vetta290—~1.2kAutomated safety check: PassApache-2.0
Canvasocial-media-skills/skills134—~2.1kAutomated safety check: PassMIT
SEO Image GeneratorAgriciDaniel/claude-seo19k2 repos~2.1kAutomated safety check: PassMIT

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Questions about Design Master

What does Design Master do?

Handles eight kinds of marketing visual requests, from logos and campaign key visuals to infographics and quote graphics, by generating images or writing paste-ready prompts. One master skill covers personal brand visuals, business logos, campaign visuals, day-to-day marketing graphics, editorial art, infographics, web mockups and quote graphics. It reads brand identity from the project context, composes a prompt in the brand's voice and routes the request: direct generation with gpt-image-2 when an API key exists, or paste-ready prompts for DALL-E 3, MidJourney, Leonardo or Ideogram otherwise.

When should I use Design Master?

Design Master fits situations like: generating a logo, monogram or founder portrait without a designer; getting a campaign key visual or social graphic in the brand's style; writing a MidJourney or DALL-E prompt from a reference image; producing an infographic or quote graphic for a post.

How do I install Design Master in Claude Code?

Run `npx skills add minhnv0807/ai-business-skills --skill 30-design-master-global -a claude-code`. Or copy the skill folder (skills/en/30-design-master-global in minhnv0807/ai-business-skills) into .claude/skills/30-design-master-global in your project. Claude Code loads it when a task matches its description.

How do I install Design Master in Codex?

Run `npx skills add minhnv0807/ai-business-skills --skill 30-design-master-global -a codex`. Or copy the skill folder (skills/en/30-design-master-global in minhnv0807/ai-business-skills) into .agents/skills/30-design-master-global in your project. Codex loads it when a task matches its description.

Can I use Design Master in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add minhnv0807/ai-business-skills --skill 30-design-master-global -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/30-design-master-global, .gemini/skills/30-design-master-global, .github/skills/30-design-master-global and .opencode/skills/30-design-master-global in your project.

What does Design Master need to run?

Going by SKILL.md and its folder, Design Master needs credentials named OPENAI_API_KEY. Our summary lists: An OpenAI image API key for direct gpt-image-2 generation, or another tool to paste prompts into.

Does Design Master access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Design Master safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Design Master use?

Design Master is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Design Master use?

About 4.6k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 17k tokens, read only when the agent opens those files.

What are the alternatives to Design Master?

Skills that share tags, products or a category with Design Master: Image Generation (onyx-dot-app/onyx, 32k stars), Carousels (TheCraigHewitt/skills, 159 stars), Direct Image Creation (openvetta/open-vetta, 290 stars) and Canva (social-media-skills/skills, 134 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Design Master?

minhnv0807 (a GitHub user) maintains it in minhnv0807/ai-business-skills, which has 609 GitHub stars. The repository holds 142 skills in this directory. The repository was last updated on September 12, 2026.

Source: minhnv0807/ai-business-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.