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Design Flow

Community
julianoczkowski
design-flow

Run the full design-to-build workflow as a guided sequence. Orchestrates all designer skills in order, from grilling through review. Use when user wants to go through the complete design process, start a project from scratch, run the full flow, or mentions "design flow" or "full workflow".

Overview

Publisherjulianoczkowski
Repositorydesigner-skills
Skill namedesign-flow
Stars
572
Forks
50
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by julianoczkowski on GitHub. Read the source before you install it.

Installation

Install the Design Flow AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/julianoczkowski/designer-skills/tree/main/design-flow
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/julianoczkowski/designer-skills.git /tmp/designer-skills
mkdir -p .claude/skills
cp -r /tmp/designer-skills/design-flow .claude/skills/design-flow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design Flow in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Design Flow on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Design Flow is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

This skill orchestrates the full designer workflow by running each skill in sequence. You are a guide walking the designer through each phase. Do not rush. Each phase must be completed and confirmed before moving to the next.

Example prompts

  • "Run the full design flow"
  • "Walk me through the complete process for a new project"
  • "Start from scratch and take me through everything"
  • "Design flow for a dashboard app"

The Sequence

1. Grill Me          → Clarify thinking
2. Design Brief      → Document intent
3. Info Architecture  → Define structure
4. Design Tokens     → Establish visual system
5. Brief to Tasks    → Plan the build
6. Frontend Design   → Build it
—
7. Design Review     → Run separately when ready

Rules

  1. At the start, tell the designer what the full sequence looks like (phases 1-6, with review available separately) and ask if they want to skip any phases. Common skip patterns:

    • Already have a clear idea → skip grill-me
    • Single component, not a full page → skip information-architecture
    • Existing project with tokens → skip design-tokens
  2. Before each phase, announce which phase you are entering and what it will produce. Example: "Phase 2: Design Brief. I'll interview you about the project and produce a DESIGN_BRIEF.md file. Ready?"

  3. During each phase, read the corresponding SKILL.md file and follow its full instructions. Do not summarize or abbreviate the skill. Run it properly.

  4. After each phase, summarize what was produced (the file name, the key decisions, any open questions) and ask: "Ready to move to the next phase?" Wait for confirmation.

  5. Between phases, check if the output from the previous phase changes anything about the next phase. For example, if the brief names a philosophy, mention that the tokens phase will use it.

  6. The designer can stop at any point. If they say "that's enough for now," summarize where they are in the sequence and what the next phase would be when they return.

Phase Details

Phase 1: Grill Me

Read the grill-me skill (grill-me/SKILL.md) and follow its instructions. Produces: Shared understanding of the project. No file output. Transition: "We've resolved the key decisions. Ready to capture this as a design brief?"

Phase 2: Design Brief

Read the design-brief skill (design-brief/SKILL.md) and follow its instructions. Produces: .design/<feature-slug>/DESIGN_BRIEF.md. Transition: "The brief is saved. Next is information architecture, where we'll define the page structure and navigation. Skip this if you're building a single component. Continue?"

Phase 3: Information Architecture

Read the information-architecture skill (information-architecture/SKILL.md) and follow its instructions. Produces: .design/<feature-slug>/INFORMATION_ARCHITECTURE.md. Transition: "IA is defined. Next we'll generate design tokens (colors, spacing, typography) based on the philosophy from the brief. Continue?"

Phase 4: Design Tokens

Read the design-tokens skill (design-tokens/SKILL.md) and follow its instructions. Produces: Token file (CSS variables, Tailwind config, or theme file depending on stack). Transition: "Tokens are set. Next I'll break the brief into a task list so we can build in order. Continue?"

Phase 5: Brief to Tasks

Read the brief-to-tasks skill (brief-to-tasks/SKILL.md) and follow its instructions. Produces: .design/<feature-slug>/TASKS.md. Transition: "Tasks are ready. Now we build. I'll start with the first task on the list. Continue?"

Phase 6: Frontend Design

Read the frontend-design skill (frontend-design/SKILL.md) and follow its instructions. Work through the tasks from TASKS.md in order. After completing each task, check it off and confirm with the designer before moving to the next task. Produces: Built components and pages. Transition: "The flow is complete. Your brief, IA, tokens, and tasks are all saved in the project. When you're ready for a design review, run /design-review and I'll critique the build against the brief."

The flow ends here. Phase 7 is not automatic.

Phase 7: Design Review (on request only)

This phase does NOT run automatically. It only runs if:

  • The designer explicitly asks for a review during the flow
  • The designer runs /design-review separately after building

The review requires built code to examine. If no components or pages have been built yet, do not run this phase. Instead, remind the designer: "Run /design-review once you have something built. It will check the output against the brief."

When triggered, read the design-review skill (design-review/SKILL.md) and follow its instructions. The review will capture screenshots of the running application using Playwright MCP (preferred), the Cursor IDE Browser (fallback), or by asking the user to provide them manually if no browser tool is available.

Produces: .design/<feature-slug>/DESIGN_REVIEW.md + screenshots saved in .design/<feature-slug>/screenshots/. Transition: "Review is done. Screenshots are saved in .design/<feature-slug>/screenshots/. If there are must-fix items, I can address them now."

Project Files Structure

All design flow artifacts are saved under .design/<feature-slug>/ where <feature-slug> is a short, lowercase, hyphenated name derived from the feature being designed. This ensures multiple features can be designed independently without overwriting each other.

.design/
└── <feature-slug>/
    ├── DESIGN_BRIEF.md              ← Phase 2: Project intent, goals, aesthetic direction
    ├── INFORMATION_ARCHITECTURE.md  ← Phase 3: Navigation, page structure, user flows
    ├── DESIGN_TOKENS.*              ← Phase 4: Colors, spacing, typography, shadows (CSS/Tailwind/theme)
    ├── TASKS.md                     ← Phase 5: Ordered build checklist from the brief
    ├── DESIGN_REVIEW.md             ← Phase 7: Prioritized critique against the brief
    └── screenshots/                 ← Phase 7: Visual evidence from the running app
        ├── review-[page]-desktop-1280.png
        ├── review-[page]-tablet-768.png
        ├── review-[page]-mobile-375.png
        ├── review-[page]-dark-mode-*.png
        └── review-[component]-[state].png

The screenshots/ subfolder is created during the design review phase. All visual evidence of the review (responsive breakpoints, interactive states, dark mode) is saved here with descriptive filenames so findings in DESIGN_REVIEW.md are traceable.

If the Designer Returns Mid-Flow

Check the .design/ folder for existing feature subfolders. If files from earlier phases exist (DESIGN_BRIEF.md, INFORMATION_ARCHITECTURE.md, TASKS.md) inside a feature folder, read them to understand where the designer left off. Ask which feature to resume if multiple folders exist. Resume from the next incomplete phase.

Frequently asked questions

What does the Design Flow AI skill do?

Run the full design-to-build workflow as a guided sequence. Orchestrates all designer skills in order, from grilling through review. Use when user wants to go through the complete design process, start a project from scratch, run the full flow, or mentions "design flow" or "full workflow".

Why use Design Flow on TypingMind?

Because you install it once and use it with any model. Design Flow is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Design Flow in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/julianoczkowski/designer-skills/tree/main/design-flow. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Design Flow?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Design Flow?

As many as you like. As long as a model supports skills, you can use Design Flow with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Design Flow AI skill free?

Yes. It is published on GitHub by julianoczkowski under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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