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ai-design-workflow

ai-design-workflow

github.com/flitzrrrDesign & UI957 installsUpdated 30w ago
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About ai-design-workflow

ai-design-workflow is a design skill for teams using AI in design work. It outlines where AI can assist, how to structure and refine prompts, and why human review and client transparency remain part of the process.

Key features

  1. 01AI guidance by design phase
  2. 02Five-part prompt briefing structure
  3. 03Iterative prompt refinement
  4. 04AI-assisted design review patterns
  5. 05Human validation and client transparency

Use cases

  1. 01Identify gaps in a project briefing
  2. 02Generate and curate moodboard directions
  3. 03Refine interface microcopy
  4. 04Review a design for clarity and accessibility

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/flitzrrr/frontend-design-skills --skill ai-design-workflow

After installing, type/ai-design-workflowin Claude Code to confirm it loaded.

Details

From the project README

AI Design Workflow

AI is an assistant, not an autopilot. You retain control over direction, decisions, and quality. AI accelerates individual steps but replaces neither strategy nor judgment.

Scope

Use this skill when you:

  • Integrate AI tools purposefully into design phases
  • Structure prompts for design tasks
  • Evaluate and contextualize AI-generated content (text, images)
  • Use AI as a sparring partner during reviews
  • Inform clients about AI usage
  • Want to preserve your own design signature despite using AI

Principles

1. AI Is an Assistant, Not an Autopilot

You retain control. AI accelerates individual steps but replaces neither strategy nor judgment.

2. The Workflow Decides, Not the Tool

Define in advance which phases AI assists with and which it does not. Without a clear process, results are arbitrary.

3. Prompting Is Briefing

The same principles that apply to a good client briefing apply to AI: context, role, task, format, tone.

4. Combinatorial Strength, Conceptual Weakness

AI interpolates between known patterns (combinatorial creativity). The deliberate break with conventions comes from the human.

5. Transparency Toward Clients

Communicate openly where and how AI is used in the project. Concealed usage erodes trust.

6. Every AI Output Is a Draft

No AI output goes into production unchecked. Every result undergoes a human review.

Rules

DO: Deploy AI Purposefully per Design Phase
PhaseAI UsageHuman Decides
BriefingAnalyze gaps and contradictionsWhich questions are relevant
ResearchDescribe industry patterns, competitionWhich insights are relevant
PersonasSharpen assumptions, plausibility checksFinal persona definition
ConceptMoodboard variations, creative techniquesWhich direction to pursue
Visual DesignColor palettes, font pairings, microcopyComposition, consistency, final design
ReviewCritical assessment, accessibility reviewWhether feedback is implemented
HandoffDocumentation templates, style guide copyFactual accuracy
DO: Structure the Prompt Like a Briefing

An effective prompt contains 5 elements:

  1. Role: Who should the AI be? ("You are an experienced UX designer...")
  2. Context: Starting situation (project, industry, target audience)
  3. Task: What exactly should be done? (one task per prompt)
  4. Format: In what form? (list, table, prose)
  5. Constraints: What should NOT happen? (restrictions, style guidelines)
DO: Prompt Iteratively Instead of One-Shot
  • START with a rough prompt, evaluate, refine.
  • USE follow-up prompts: "Make it more formal," "Narrow it down to 3 variants," "Explain your choice."
  • A chain of prompts is better than one perfect prompt.
DO: Use AI as a Sparring Partner in Reviews
  • DESCRIBE a finished design in words and request a critical assessment.
  • ASK about misunderstandings, unclear elements, accessibility barriers.
  • The act of formulating the description alone often reveals weaknesses.
DO: Evaluate AI-Generated Images Based on Context
  • Suitable: Abstract backgrounds, generic illustrations, concept visualizations.
  • Unsuitable: Authentic corporate photography, portraits, brand-specific imagery.
  • Communicate clearly to the client what is a placeholder and what is final material.
DON'T: Use AI as a Last Resort When Out of Ideas
  • If all variations feel generic, the problem is a missing concept, not a better prompt.
  • Go back to the strategy phase.
DON'T: Adopt AI Output Without Contextual Review
  • AI has no knowledge of company history, market context, or customer sentiment.
  • Validate every result against the briefing, brand, and target audience.
DON'T: Recycle Prompts Across Projects
  • Using the same prompts across different projects leads to interchangeable results.
  • Always adapt prompts to the project context.
DON'T: Use AI as a Substitute for User Testing
  • AI generates hypotheses but does not simulate real reactions.
  • Usability tests with real people remain mandatory.

Patterns

Briefing Analysis Prompt

At project kickoff: "Here is a project briefing for [project type]. Identify open questions, unclear requirements, and points that need to be clarified before starting." Result: Structured list of questions. See references/prompt-patterns.md for details and prompt templates.

Moodboard Divergence

Early concept phase: 1. Generate 15–20 variations with image generators, 2. Curate down to 2–3 directions, 3. Present as a decision-making basis.

SCAMPER Prompt Chain

For evolving existing ideas: AI examines an idea through each SCAMPER lens (Substitute, Combine, Adapt, Modify, Put to other use, Eliminate, Reverse).

Copy Refinement Loop

For microcopy, button labels, error messages: 1. Describe context, tone, and function, 2. Generate 5 variations, 3. Select the best and refine.

AI Review Session

After visual design, before handoff: 1. Describe the design in detail using words, 2. Request a critical assessment regarding clarity, accessibility, and consistency, 3. Use the response as a checklist.

Documentation Accelerator

During the handoff phase: Describe design decisions and have a structured documentation template generated. Framework produced in minutes instead of hours.

Anti-Patterns

The AI Sameness Trap

All projects look alike because the same tools are used with similar prompts. Solution: Treat AI output as raw material, never as the final product. Your own design signature must remain recognizable.

The Prompt Perfectionist

Spending hours crafting the perfect prompt instead of working iteratively. Solution: Start with an 80% prompt, refine in 2–3 iterations.

AI as an Excuse for Lacking Expertise

"The AI did it that way" as a justification. Solution: Every decision must be defensible by the designer.

Hype-Driven Feature Adoption

Integrating every new AI feature immediately without evaluating its value. Solution: Evaluate in a test project before production use.

Checklist

  • AI usage explicitly planned per design phase (where YES, where NO)
  • Prompts contain role, context, task, format, and constraints
  • AI-generated content documented internally
  • Every AI output validated against briefing and brand values
  • AI-generated images labeled as concept material or final
  • Client informed about AI usage
  • AI review session conducted before handoff
  • Usability tests with real users planned (not replaced by AI)
  • Own design signature recognizable in the final result

Cross-References

  • design-process — The AI workflow is an extension, not a replacement for the design process
  • customer-journey — AI can accelerate persona development and touchpoint analysis
  • landing-pages — AI-generated text and images must meet landing page standards
  • website-audit — AI tools can support website analysis
  • branding-identity — AI output must align with brand identity

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