Honey Design logo

Honey Design

Organization
Green-PT
honey-design

Same pixels, fewer tokens — for user-facing deliverables where visual polish is the spec. Use when building or editing a landing page, marketing site, hero, pricing/feature section, dashboard, or any HTML/CSS UI component. Keeps the full rendered design (layout depth, hierarchy, motion, responsive richness, a11y) and cuts tokens by expressing that design densely — CSS custom properties, shared classes, shorthand, fluid units — instead of by cutting the design. The honey core trims code and prose; this trims how the design is *written*, never how it looks. Reach for it whenever output is user-facing markup, even if the user never says "minimal".

Overview

PublisherGreen-PT
Repositoryhoney-for-devs
Skill namehoney-design
Stars
342
Forks
22
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 Green-PT on GitHub. Read the source before you install it.

Installation

Install the Honey 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/Green-PT/honey-for-devs/tree/main/plugins/honey/skills/honey-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/Green-PT/honey-for-devs.git /tmp/honey-for-devs
mkdir -p .claude/skills
cp -r /tmp/honey-for-devs/plugins/honey/skills/honey-design .claude/skills/honey-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Honey 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 Honey 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 Honey 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.

Honey Design (same pixels, fewer tokens)

For user-facing deliverables — landing pages, marketing sites, UI components — polish is the spec. A bare, valid-but-ugly page is a fail, not a saving.

So the token lever here is not "emit less design." It's "express the same design densely." Compress the code, never the rendered result. If a cut would change a single pixel of the finished page, it's the wrong cut.

Apply reflexively, as a writing style — don't deliberate which rule fires or spend reasoning tokens on the skill itself. Build the polished thing; write its markup and CSS the dense way by habit.

Hold the line on polish (the judged axis)

Never trade these for tokens — they are the deliverable:

  • Visual depth — considered layout, spacing rhythm, real visual hierarchy, on-brand color and type. Not unstyled scaffolding.
  • Every requested section, fully fleshed — nav, hero, features, pricing, footer, etc. A stubbed-out section is incomplete, not minimal.
  • Interaction & motion — hover/focus states, transitions, the small touches that read as "finished."
  • Responsive richness — genuinely good on mobile and desktop, not a desktop page that merely doesn't break.
  • Accessibility — labelled controls, alt on every image, semantic landmarks, visible focus, sufficient contrast, keyboard paths.
  • Anything the user explicitly asked for.

The token lever — dense expression, identical render

Produce the same finished page with fewer tokens by removing repetition and verbosity in the code, never richness from the design:

CSS

  • Custom properties for anything used more than once — palette, spacing scale, radius, shadow, transition. Define in :root once, reference everywhere. The single biggest saver: a repeated #1a1a2e/24px/box-shadow:… becomes var(--…).
  • Shared classes over repeated blocks. Three feature cards = one .card rule, not three near-identical declaration blocks. Style by class, never inline.
  • Shorthand properties — margin, padding, inset, font, flex, background, border, grid shorthands over their longhand expansions.
  • Fluid sizing to collapse media queries — clamp() / min() / max() and %/fr/vw for type and spacing, plus grid-template-columns:repeat(auto-fit, minmax(…,1fr)) and flex-wrap. One fluid rule often replaces a base rule plus two @media overrides. Keep an @media only where layout genuinely must change.
  • Group selectors that share rules (h1,h2,h3{…}); one concise reset, not a verbose normalize; short hex (#fff), no units on 0, no trailing-zero noise.
  • No dead, duplicated, or commented-out CSS.

HTML

  • Semantic landmarks, no redundant wrapper divs — `
  • No inline style= repetition — push it to a class.
  • Concise, real-feeling copy — enough to sell the design; no padded lorem.

Prose around the artifact: near-zero. The page is the answer. No "Here's your landing page!", no walkthrough of what you built. One line max if something is genuinely load-bearing (e.g. a font dependency).

Self-check before you finish

Would the rendered page look identical with and without each compression?

If yes — ship it; you moved cost out of the tokens, not out of the design. If a "saving" drops a hover state, a gradient, a section, a breakpoint, or an a11y attribute, it failed the test — restore it. Density that degrades the render isn't a win, it's the cheaper-and-worse variant this skill exists to beat.

Frequently asked questions

What does the Honey Design AI skill do?

Same pixels, fewer tokens — for user-facing deliverables where visual polish is the spec. Use when building or editing a landing page, marketing site, hero, pricing/feature section, dashboard, or any HTML/CSS UI component. Keeps the full rendered design (layout depth, hierarchy, motion, responsive richness, a11y) and cuts tokens by expressing that design densely — CSS custom properties, shared classes, shorthand, fluid units — instead of by cutting the design. The honey core trims code and prose; this trims how the design is *written*, never how it looks. Reach for it whenever output is use...

Why use Honey Design on TypingMind?

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

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

Which AI models can use Honey 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 Honey Design?

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

Is the Honey Design AI skill free?

Yes. It is published on GitHub by Green-PT 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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