ai-graphic-design-skill
Skill32 starsChanged 6 months agoMITView on GitHub
Guide for creating logos, brand identities, and visual assets with AI tools: which tool fits which scenario (Recraft, Midjourney, Firefly, DALL-E, Stable Diffusion), prompt engineering per tool, vectorization pipelines, mockups, Python automation, and IP safety. The skill text is in Portuguese.
In this repository170 other files it gives its agents.
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 70
When you need interactive UI components or design systems (use design-consultation or shadcn-ui)
- Very specific: line 71
When the deliverable is a Figma file (use figma-official-skills)
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
ai-graphic-design-skill
Catalogue stub — full skill: designrique/ai-graphic-design-skill
<!-- das:install:start — generated from stub.yaml by `npm run generate`; edit stub.yaml, not this block -->Decision tree
- Is the full skill already installed?
Upstream names this skill
ai-graphic-design, so it installs next to this pointer (the pointer is not replaced).- Global:
f=~/.agents/skills/ai-graphic-design/SKILL.md; [ -f "$f" ] && ! grep -q "^das:" "$f" && echo "installed" || echo "pointer" - Project:
f=.agents/skills/ai-graphic-design/SKILL.md; [ -f "$f" ] && ! grep -q "^das:" "$f" && echo "installed" || echo "pointer" installed→ the skill is installed asai-graphic-design, invoke it and proceedpointer→ go to step 2
- Global:
Detect scope, then install:
[ -e ~/.agents/skills/ai-graphic-design-skill ] && echo "global" || echo "project"Global:
npx skills add designrique/ai-graphic-design-skill --skill ai-graphic-design -g -yProject:
npx skills add designrique/ai-graphic-design-skill --skill ai-graphic-design -yClaude Code: send a command as a chat message starting with
!to run it without leaving the conversation.
Heads-up
- License: MIT
<!-- das:install:end -->Invoke after install
- Skill name:
ai-graphic-design - Trigger phrases: "AI graphic design", "AI design tools", "Midjourney workflow", "Stable Diffusion design", "AI Creative Director"
What it does
Provides a decision framework for using AI tools in logo, brand-identity, and graphic-asset work. A tool-selection matrix maps scenarios to tools: Recraft for clean vector logos, Midjourney for concept ideation and moodboards, Adobe Firefly for IP-safe commercial use, DALL-E for conversational iteration, Stable Diffusion (with ControlNet) for full control and batch work. It also covers briefing frameworks, per-tool prompt engineering, an end-to-end workflow from brief to delivery, visual consistency across campaigns, raster-to-vector pipelines, professional mockup techniques, delivery formats, Python automation, an IP-risk matrix per tool, anti-patterns, and a 2025-2026 designer-competency roadmap (the "AI Creative Director" role). The skill text itself is written in Portuguese.
When NOT to use
- Pure code or UI implementation tasks with no image or graphic design component (use
taste-skillorui-craftinstead) - When you need interactive UI components or design systems (use
design-consultationorshadcn-ui) - When the deliverable is a Figma file (use
figma-official-skills)
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
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Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

