Kanagi

Organization

SlideSpeak

kanagi

Workshop-specimen language for a heritage Japanese blade maker selling craft to professional buyers. Plaster ground, graphite ink, one oxide-red seal. Use for craft-heritage launch and distribution decks where material precision is the argument.

Overview

Publisher	SlideSpeak
Repository	`slide-design-skill`
Skill name	`kanagi`
Stars	29
Forks	6
Bundled files	5
License	MIT
Links	Skill source Repository Homepage

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.
5 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by SlideSpeak on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/SlideSpeak/slide-design-skill/tree/main/skills/kanagi
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.

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/SlideSpeak/slide-design-skill.git /tmp/slide-design-skill
mkdir -p .claude/skills
cp -r /tmp/slide-design-skill/skills/kanagi .claude/skills/kanagi

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kanagi 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 Kanagi 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 Kanagi 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.

Kanagi: the workshop specimen sheet

Every slide is a specimen card from the maker's bench: one artifact, measured, stamped, filed. The deck reads like an export dossier from a workshop that has done one thing for ninety years.

Voice

Calm, declarative, material. Sentences carry weight by being short. Numbers are spoken like measurements, not marketing. Never exclamatory, never poetic about "the soul of steel"; the steel's hardness number says it.

Structure

Open on the blade itself (cover bleed). Establish lineage (heritage statement). Show the making (craft rows). Show the goods (range split). Prove the material (steel metric). Read the market (chart). Let a chef speak (voice bleed). Offer the deal (partnership cards). Lay out the path (roadmap rows). Close with the seal and one ask (closing bleed).

Visual system

Ground is plaster (#EFEAE2); exhibits sit on bone cards (#F8F5EE) with graphite hairlines. Ink is near-black graphite (#26272B).
One accent: oxide seal red (#B5402A). Deployed like a stamp: the seal mark, step numerals, one rule terminal per slide at most. Never as a card edge.
Headlines Spectral 500/600, sentence case, tight leading. Body Archivo 16.5 to 19px. All measurements and labels in IBM Plex Mono at 14px or above.
Whitespace is generous but content bands are sized to their content and centered; nothing stretches to fill.

Graphic system

Signature mark: the Kanagi seal. A 28px oxide-red square outline with an inset notch at the lower right (inline SVG), like a maker's hanko. It appears at the same size in the masthead of every interior slide and at 96px on the closing slide. It never rotates, never recolors.
Surface: paper grain. Bleed slides and the heritage statement carry a low opacity feTurbulence grain over the ground so flats read as paper stock.
Structural device: the edge rule. Section rules are 1px graphite hairlines that terminate in a short 18px stroke angled at 24 degrees (the blade tip), drawn with a ::after element. Dividers between ledger rows stay plain hairlines.
Depth moment: the profile curve. A single oversized blade-profile path (graphite at 5 to 7% opacity) bleeds off the right edge of the cover and the closing, behind content. One per slide maximum, never on data slides.

Density

Statement and bleed slides are editorial: one claim, generous air. Craft, range, roadmap and partnership run balanced. Steel and market may run data-dense. Body text never drops below 16.5px; mono labels never below 14px.

Style anchors

A museum specimen sheet: object, caption, catalog number
A Sakai forge bench under one north-facing window
An export crate stencil: stamped, exact, unsentimental
A steel hardness certificate, typeset in a single mono column
The oxide-red customs seal on kraft paper

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 Kanagi AI skill do?

Why use Kanagi on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SlideSpeak/slide-design-skill/tree/main/skills/kanagi. 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 Kanagi?

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 Kanagi?

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

Is the Kanagi AI skill free?

Yes. It is published on GitHub by SlideSpeak 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Kanagi: the workshop specimen sheet

Voice

Structure

Visual system

Graphic system

Density

Style anchors

Bundled files

Frequently asked questions

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