Kami Landing logo

Kami Landing

OrganizationPopular
nexu-io
kami-landing

Produce a print-grade single-page kami (紙 / 纸) document — warm parchment canvas, ink-blue accent, serif at one weight, no italic, no cool grays. The output reads like a professional white paper or studio one-pager, not an app UI. Multilingual by design (EN · zh-CN · ja). One self-contained HTML file, zero dependencies.

Overview

Publishernexu-io
Repositoryopen-design
Skill namekami-landing
Stars
98.9K
Forks
11.5K
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by nexu-io on GitHub. Read the source before you install it.

Installation

Install the Kami Landing 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/nexu-io/open-design/tree/main/design-templates/kami-landing
  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/nexu-io/open-design.git /tmp/open-design
mkdir -p .claude/skills
cp -r /tmp/open-design/design-templates/kami-landing .claude/skills/kami-landing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kami Landing 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 Kami Landing 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 Kami Landing 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.

kami-landing

Produce a single-page document in the kami (紙 / 纸) design system. The aesthetic borrows from editorial print, technical white papers, and old typewritten correspondence — the goal is good content on good paper, not modern app UI.

Design system source of truth: design-systems/kami/DESIGN.md. Read it before shipping. Tokens, type rules, the "ten invariants", and forbidden colors all live there.

What you get

A single self-contained HTML file with:

  • Warm parchment canvas (#f5f4ed) — never #ffffff.
  • Single chromatic accent — ink-blue (#1B365D), used on the section number, the headline accent word, the left rule of the manifesto, and the metric values. Anywhere else, ink-blue must cover ≤ 5% of the document surface area.
  • Serif at one weight (500) for hierarchy — Charter (EN), TsangerJinKai02 / Source Han Serif (CN), or YuMincho (JA), selected by the language parameter. No italic anywhere.
  • Tight print rhythm — line-heights 1.10–1.55, letter-spacing per language (0 for EN, 0.35px for CN, 0.02em for JA).
  • Numeric stacks set in font-variant-numeric: tabular-nums so metric columns and pagination digits sit cleanly aligned.
  • Depth via 1px rings + whisper shadows (0 4px 24px rgba(0,0,0,0.05)). No hard drop shadows, no neumorphism, no backdrop-filter blurs.
  • Tag fills as solid hex (e.g. #E4ECF5), never rgba() — print renderers double-paint alpha tags.
  • Responsive at 1280 / 980 / 768 / 560.

Page structure

text
1. Eyebrow row     — locale switcher · edition · version (12px sans uppercase)
2. Hero            — display headline (96–106px serif 500), tagline (21px),
                     three hero-token chips (paper-tinted)
3. Manifesto       — pull paragraph in serif 400, 20px, 1.65 LH, with
                     ink-blue left-rule and signature footer
4. Metrics row     — 3-6 cells: value (24px serif 500 ink-blue, tabular-nums),
                     label (12px serif 500 olive)
5. Chapters        — numbered (`01`, `02`, …) ink-blue serif 500 14px,
                     section title 28-32px, body 14-15px
6. Footer          — kicker word (mega serif 500), license · year · contact,
                     three-column site index in 12px serif 500

Workflow contract

1. Gather brand brief

Use AskQuestion (or equivalent) to collect the brand brief in chunks. Don't dump the whole input list on the user; ask in two rounds:

  1. Identity round — name, tagline, location, edition / version, primary URL, dominant language.
  2. Content round — manifesto paragraph + signature, 3-6 metric tiles, 3-5 chapter (title + lede + body) entries.

2. Pick the language stack

The language parameter controls which --serif stack is set on :root. Pick based on the dominant language of the manifesto and chapter body copy:

language--serifNotes
enCharter, Georgia, Palatino, Times New Roman, serifdefault
zh-CNTsangerJinKai02, Source Han Serif SC, Songti SC, Georgialetter-spacing 0.35px on body
jaYuMincho, Hiragino Mincho ProN, Source Han Serif JPalso override --olive to #4d4c48 (YuMincho strokes are thinner)

Inline mixed-script content is fine — the browser per-glyph fallback chain handles it. Do not chain all three families inside one font-family declaration; that dilutes character.

3. Write index.html

Output a single file with all CSS inline. Mirror the structure of example.html and use only the tokens from design-systems/kami/DESIGN.md. Do not invent new colors, weights, or font families.

Component primitives the agent can drop in (all defined in the example's <style> block):

  • .eyebrow, .label — sans-serif overlines
  • .metric — value + label vertical pair
  • .section-num + .section-title + .section-lede
  • .tag.standard, .tag.brush — solid-hex tags (one brush max per page)
  • .quote — left-rule serif 500 quote
  • ul.dash — en-dash bullets in ink-blue
  • .code — ivory-bg, 1px-border code block
  • .footer-kicker — mega serif 500 word

Tag every editable element with data-od-id="<unique-slug>" so the host app's comment mode can target it.

4. Self-check before delivering

  • Page background is parchment (#f5f4ed), never #ffffff.
  • Ink-blue (#1B365D) covers ≤ 5% of visible surface — count section numbers, the manifesto rule, the metric values, the headline accent. Total ≤ 5%.
  • All grays are warm (R ≈ G > B). No slate-*, no #f3f4f6.
  • Serif weight stays at 500 — no font-weight: 700 or 900 anywhere on serif text.
  • No font-style: italic anywhere. Emphasis swaps to ink-blue color or a .tag instead.
  • All numeric stacks (metric values, pagination, dates, financial figures) carry font-variant-numeric: tabular-nums.
  • All tag fills are solid hex (e.g. #E4ECF5), never rgba().
  • Shadows: at most a 1px ring or a 0 4px 24px rgba(0,0,0,0.05) whisper. No hard drop shadows.
  • Headline ≤ 6 words at display size; CJK ≤ 8 characters.
  • At 768px and 560px the layout collapses to one column without horizontal scroll.

Files in this skill

text
design-templates/kami-landing/
├── SKILL.md                 # this contract
├── README.md                # human quick-start
└── example.html             # canonical OpenDesign rendering

Boundaries

  • Do not invent new colors or typefaces. The kami palette is fixed; if a brief demands a brand color, push back or render the brand color as a single .tag.brush accent.
  • Do not introduce a second accent color. Pick ink-blue or pick nothing.
  • Do not mix all three font stacks in one declaration; pick the dominant language, override --serif on :root, and let the browser per-glyph fallback resolve mixed-script inline content.
  • Do not use rgba() for tag fills — print renderers double-paint alpha tags. Use the pre-blended solid hex from the table in design-systems/kami/DESIGN.md §2.
  • Do not add JavaScript for animation. The page is paper, not an app — motion belongs to the reader scrolling.

See also

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Kami Landing AI skill do?

Produce a print-grade single-page kami (紙 / 纸) document — warm parchment canvas, ink-blue accent, serif at one weight, no italic, no cool grays. The output reads like a professional white paper or studio one-pager, not an app UI. Multilingual by design (EN · zh-CN · ja). One self-contained HTML file, zero dependencies.

Why use Kami Landing on TypingMind?

Because you install it once and use it with any model. Kami Landing 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 Kami Landing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nexu-io/open-design/tree/main/design-templates/kami-landing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Kami Landing?

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 Kami Landing?

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

Is the Kami Landing AI skill free?

Yes. It is published on GitHub by nexu-io 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇