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Dg Design

Community
FReptar0
dg-design

Generate a DESIGN.md from a brand brief. Use when the user wants to create a visual identity, design system, or brand style guide for a web project. Also use when starting a new website from scratch. Asks for company name, industry, target audience, and aesthetic direction. Outputs an 8-section design spec with colors, typography, and anti-slop rules.

Overview

PublisherFReptar0
Repositorydesign-guard
Skill namedg-design
Stars
12
Forks
4
Bundled files
Instructions only
LicenseMIT
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 FReptar0 on GitHub. Read the source before you install it.

Installation

Install the Dg Design 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/FReptar0/design-guard/tree/main/.claude/skills/dg-design
  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/FReptar0/design-guard.git /tmp/design-guard
mkdir -p .claude/skills
cp -r /tmp/design-guard/.claude/skills/dg-design .claude/skills/dg-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dg Design 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 Dg Design 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 Dg Design 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.

Generate a complete DESIGN.md for a web project using Google Stitch.

Instructions

  1. Discover check (MUST run before anything else):
    • Check if the .dg-research/ directory exists and contains JSON files.
    • IF .dg-research/ does NOT exist AND the user has mentioned a specific business name, company, brand, cafe, restaurant, store, or real-world entity:
      • STOP. Tell the user: "I recommend running /dg-discover first to research [business name]. This produces a DESIGN.md grounded in real market and competitor data instead of AI defaults. Would you like me to run /dg-discover instead?"
      • Only proceed with /dg-design if the user explicitly says to skip research.
    • IF .dg-research/ exists with JSON files: Read .dg-research/latest.json to get the business brief, competitor analysis, and brand colors. This research data is your PRIMARY source for business context -- use it over any project-level context from CLAUDE.md. Proceed to step 1.
    • IF the user request is generic (no specific business mentioned, e.g., "make a portfolio site" or "create a SaaS dashboard"): proceed directly to step 1. Research is for real businesses, not generic projects.

Context Isolation (CRITICAL -- read before generating)

When generating a DESIGN.md, distinguish between two contexts:

  1. Host project -- the codebase you are running inside (Design Guard). CLAUDE.md describes THIS project. Its business model, features, CLI commands, test counts, and technical architecture are about Design Guard, NOT about the user's target business.

  2. Target business -- the business the user wants a DESIGN.md for. This comes from:

    • The brand brief the user provides (Step 1)
    • Research data in .dg-research/latest.json (if available from /dg-discover -- this is your PRIMARY source)
    • WebSearch/WebFetch results about the target business

Rules:

  • IF the target business is DIFFERENT from Design Guard:

    • Do NOT use business descriptions, feature lists, stats, or technical details from CLAUDE.md
    • Do NOT reference CLI commands, test counts, TypeScript, Node.js, MCP, or Stitch as features of the target business
    • Do NOT describe the target as "open source", "design intelligence", or any phrase from CLAUDE.md's Project Overview
    • Every business fact in the DESIGN.md must come from the user's brief or research data
    • If an existing DESIGN.md is present at the project root, do NOT copy its colors, fonts, or business context into the new one -- generate fresh from the brief and research
  • IF the target business IS Design Guard itself:

    • CLAUDE.md is a valid source of business context -- use it alongside the user's brief
  • ALWAYS follow the DESIGN.md 8-section specification and validation rules from CLAUDE.md regardless of target business. The FORMAT rules always apply; the BUSINESS context is what gets isolated.

  1. If the user provided a brand brief as argument, use it. Otherwise ask for:

    • Company/product name
    • Industry or domain
    • Target audience
    • Aesthetic direction (e.g., "premium corporate", "playful startup", "minimal SaaS")
  2. Generate a DESIGN.md with exactly these 8 sections:

    1. Visual Theme & Atmosphere — 2-3 evocative sentences describing overall aesthetic. Use specific adjectives and references, not generic terms.
    2. Color Palette & Roles — Markdown table with columns: Role, Name, Hex, Usage. Minimum 5 roles (Primary, Secondary, Surface, On-Surface, Error). All colors as hex values, never descriptions like "trustworthy blue". Give each color a descriptive name (e.g., "Deep Navy" not just "Primary").
    3. Typography — Font families from Google Fonts (avoid Inter, Poppins as primary — they signal AI-generated design). Sizes in rem/px, weights as numbers (400/600/700), line heights. Include heading, body, and mono. Use a serif/sans-serif pairing for contrast.
    4. Spacing & Layout — Base unit (e.g., 4px), scale, max content width, grid system, breakpoints.
    5. Component Patterns — At least 3 components (buttons, cards, inputs, etc.) with structure and style rules. Vary border-radius and shadow styles.
    6. Iconography — Style (outline/solid/duotone), default size, source library.
    7. Imagery Guidelines — Photo style, illustration style, aspect ratios. Be specific about what imagery communicates.
    8. Do's and Don'ts — At least 3 of each. MUST include these anti-slop defaults:

    Do

    • Do use asymmetric or non-standard layouts for at least one feature section
    • Do vary card sizes and spacing to create visual rhythm
    • Do use the specified color palette exclusively (no AI-chosen colors)
    • Do maintain high contrast (4.5:1 minimum) for all text
    • Do vary section backgrounds (alternate between light/dark surfaces)

    Don't

    • Don't use Inter, Poppins, or system sans-serif as the primary font
    • Don't use purple-to-blue gradients anywhere
    • Don't use uniform border-radius (>12px) on all elements
    • Don't use standard three-column icon grids as the second page section
    • Don't center-align body text longer than 2 lines
    • Don't use generic stock photo illustrations (3D blobs, abstract shapes)
  3. Validation rules:

    • All colors must be hex values (#RRGGBB)
    • Font sizes in rem or px only
    • At least 5 color roles, 3 component patterns, 3 Do's and 3 Don'ts
    • Keep total under ~3000 tokens (Stitch reads it as context on every generation)
  4. If DESIGN.md already exists, ask before overwriting.

  5. Write the file to DESIGN.md at the project root.

  6. After writing, check if a Stitch design system exists using mcp__stitch__list_design_systems. If the user has a Stitch project:

    • Offer to create a design system with mcp__stitch__create_design_system
    • Or update an existing one with mcp__stitch__update_design_system
    • Apply it to the project with mcp__stitch__apply_design_system so all future generations respect it
  7. Next step: Suggest running /dg-generate to create the first screen using the new design system.

Reference: See docs/design-md-guide.md for the full specification.

Frequently asked questions

What does the Dg Design AI skill do?

Generate a DESIGN.md from a brand brief. Use when the user wants to create a visual identity, design system, or brand style guide for a web project. Also use when starting a new website from scratch. Asks for company name, industry, target audience, and aesthetic direction. Outputs an 8-section design spec with colors, typography, and anti-slop rules.

Why use Dg Design on TypingMind?

Because you install it once and use it with any model. Dg Design 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 Dg Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/FReptar0/design-guard/tree/main/.claude/skills/dg-design. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dg Design?

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 Dg Design?

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

Is the Dg Design AI skill free?

Yes. It is published on GitHub by FReptar0 under the MIT 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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