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Comark

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onmax
comark

Comark (Components in Markdown) parser: syntax, AST, Vue/React/Svelte/Angular renderers, plugins, and LLM streaming with auto-close.

Overview

Publisheronmax
Repositorynuxt-skills
Skill namecomark
Stars
711
Forks
37
Bundled files
7
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.

  • 7 bundled files

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

  • Open source

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

Installation

Install the Comark 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.
  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/onmax/nuxt-skills.git /tmp/nuxt-skills
mkdir -p .claude/skills
cp -r /tmp/nuxt-skills/skills/comark .claude/skills/comark
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Comark 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 Comark 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 Comark 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.

Comark - Skills Guide

A high-performance markdown parser with Comark (Components in Markdown) support, built on markdown-it, offering both string-based and streaming APIs.

Overview

Comark extends standard markdown with a powerful component system while maintaining full compatibility with CommonMark and GitHub Flavored Markdown. It provides:

  • 🚀 High-performance parsing with markdown-it engine
  • 📦 Streaming support with buffered and incremental modes
  • Real-time rendering with auto-close for incomplete syntax
  • 🔧 Comark component syntax for custom components
  • 🎨 Vue, React, Svelte & Angular renderers with custom component mapping
  • 📝 YAML frontmatter support
  • 📑 Automatic TOC generation
  • 🎯 Full TypeScript support
  • 🌈 Syntax highlighting with Shiki integration

Package Information

  • Package Name: comark
  • Installation: npm install comark or pnpm add comark
  • Exports:
    • Main parser: comark
    • Vue components: @comark/vue
    • React components: @comark/react
    • Svelte components: @comark/svelte
    • Angular components: @comark/angular
    • HTML rendering: @comark/html
    • ANSI terminal rendering: @comark/ansi
    • Nuxt module: @comark/nuxt

Quick Start

Basic Usage

typescript
import { parseMarkdown } from 'comark'

const content = `---
title: Hello World
---

# Hello World

This is **markdown** with :icon component.

::alert{type="info"}
Important message
::
`

const result = await parseMarkdown(content)
console.log(result.nodes)       // Markdown AST
console.log(result.frontmatter) // { title: 'Hello World' }
console.log(result.meta)    // Additional metadata

Vue Rendering

vue
<template>
  <Markdown :value="content" />
</template>

<script setup lang="ts">
import { Markdown } from '@comark/vue'

const content = `# Hello World`
</script>

React Rendering

tsx
import { Markdown } from '@comark/react'

export default function App() {
  return <Markdown value={content} />
}

Svelte Rendering

svelte
<script lang="ts">
  import { Markdown } from '@comark/svelte'

  const content = `# Hello World`
</script>

<Markdown value={content} />

Angular Rendering

typescript
import { Component } from '@angular/core'
import { Markdown } from '@comark/angular'

@Component({
  selector: 'app-root',
  standalone: true,
  imports: [Markdown],
  template: `<comark-markdown [value]="content" />`,
})
export class AppComponent {
  content = `# Hello World`
}

Documentation Sections

This guide is organized into focused sections covering different aspects of the package:

📝 1. Markdown Syntax

Learn how to write Comark documents with complete syntax reference:

  • Standard Markdown: headings, text formatting, lists, links, images, blockquotes
  • Frontmatter: YAML metadata with special fields (title, depth, searchDepth)
  • Comark Components: block components (::component), inline components (:component), properties, slots, nesting
  • Attributes: custom attributes on native markdown elements using {...} syntax
  • Code Blocks: language specification, filename metadata, line highlighting, special characters
  • Task Lists: GFM-style checkboxes with [x] and [ ] syntax
  • Tables: GFM tables with alignment and inline markdown support

→ Read Full Markdown Syntax Guide


🔧 2. Parsing & Document Model

Complete guide for parsing and working with MarkdownDocument:

  • String Parsing: parseMarkdown() function with options (autoUnwrap, autoClose)
  • Async Parsing: parseMarkdown() with Shiki syntax highlighting
  • Document Structure: serializable MarkdownDocument with compact array-based nodes
  • Rendering Documents: convert to HTML (renderHtmlFromDocument via @comark/html) or markdown (renderMarkdown via comark/render)
  • Auto-close: automatic closing of unclosed syntax
  • Auto-unwrap: remove unnecessary paragraph wrappers from container components

→ Read Full Parsing & Document Model Guide


⚛️ 3. Vue Rendering

Comprehensive guide for rendering in Vue applications:

  • Basic Usage: Markdown component setup
  • Custom Components: mapping custom Vue components to Comark elements
  • Dynamic Loading: componentsManifest for lazy-loaded components
  • Slots Support: named slots with #slot-name syntax
  • Streaming Mode: real-time rendering with reactive content
  • Prose Components: pre-built styled components for standard elements
  • Error Handling: built-in error capture for streaming scenarios
  • Props Access: accessing __node and parsed properties

→ Read Full Vue Rendering Guide


⚛️ 4. React Rendering

Comprehensive guide for rendering in React applications:

  • Basic Usage: Markdown component setup
  • Custom Components: mapping custom React components to Comark elements
  • Dynamic Loading: componentsManifest for lazy-loaded components
  • Props Conversion: automatic HTML attribute conversion (classclassName, etc.)
  • Streaming Mode: real-time rendering with reactive content
  • Prose Components: pre-built styled components for standard elements
  • Custom Props: accessing parsed properties and __node
  • CSS Class Name: custom wrapper classes and Tailwind CSS integration

→ Read Full React Rendering Guide


🎡 5. Svelte Rendering

Comprehensive guide for rendering in Svelte 5 applications:

  • Basic Usage: Markdown component setup with $state
  • Custom Components: mapping custom Svelte components to Comark elements
  • Dynamic Loading: componentsManifest for lazy-loaded components
  • Props Mapping: attribute-to-prop conversion (close to HTML semantics)
  • Streaming Mode: real-time rendering with reactive $state
  • Experimental Async: MarkdownAsync with <svelte:boundary>
  • Prose Components: Prose prefix for overriding native HTML elements

→ Read Full Svelte Rendering Guide


🅰️ 6. Angular Rendering

Comprehensive guide for rendering in Angular 17+ applications:

  • Basic Usage: Markdown standalone component setup
  • Custom Components: mapping Angular components to Comark elements
  • Component Resolution: Prose{PascalTag}, PascalTag, tag priority order
  • Content Projection: named slots via <ng-content select="[slot=name]">
  • Streaming Mode: real-time rendering with caret indicator
  • Data Binding: :binding resolution with ambient data input
  • Pre-configured Components: defineMarkdownComponent and defineMarkdownDocumentComponent
  • Plugins: Math (KaTeX), Mermaid, Binding with Angular component wrappers

→ Read Full Angular Rendering Guide


🤖 7. Using with AI Agents

Guide for integrating Comark in AI agent and LLM streaming workflows:

  • Streaming from LLMs: rendering incremental AI output in real time
  • Auto-Close: handling incomplete syntax from partial LLM tokens
  • Caret Indicator: showing a live cursor during generation
  • Framework Examples: Vue, React, Svelte, Angular streaming patterns
  • ANSI for CLIs: rendering AI output in terminal agents

→ Read Full Agents Guide


Key Features Deep Dive

Comark Component Syntax

Comark extends markdown with custom components while preserving readability:

markdown
<!-- Block Component -->
::alert{type="warning" .important}
This is a **warning** message with markdown support.
::

<!-- Inline Component -->
Check out this :icon-star{.text-yellow} component.

<!-- Component with Slots -->
::card
#header
## Title

#content
Main content

#footer
Footer
::

Markdown Document Model

Lightweight array-based structure for efficient processing:

typescript
interface MarkdownDocument {
  nodes: [
    ["h1", { "id": "hello" }, "Hello"],
    ["p", {}, "Text with ", ["strong", {}, "bold"], " word"],
    ["alert", { "type": "info" }, "Message"]
  ],
  frontmatter: {},
  meta: {}
}

Common Use Cases

1. Static Site Generator

typescript
import { parseMarkdown } from 'comark'
import { renderHtmlFromDocument } from '@comark/html'
import shiki from '@comark/html/plugins/shiki'

async function processMarkdownFile(filePath: string) {
  const content = await readFile(filePath, 'utf-8')

  const doc = await parseMarkdown(content, {
    plugins: [
      shiki({
        themes: { light: 'github-dark', dark: 'github-dark' },
      }),
    ],
  })

  return {
    html: await renderHtmlFromDocument(doc),
    frontmatter: doc.frontmatter,
    toc: doc.meta.toc
  }
}

2. Real-time Markdown Editor

tsx
import { useState } from 'react'
import { Markdown } from '@comark/react'

export default function Editor() {
  const [content, setContent] = useState('# Hello')

  return (
    <div className="split-editor">
      <textarea value={content} onChange={e => setContent(e.target.value)} />
      <Markdown value={content} />
    </div>
  )
}

3. Batch File Processing

typescript
import { readFile } from 'node:fs/promises'
import { parseMarkdown } from 'comark'

async function processMultipleFiles(files: string[]) {
  const results = await Promise.all(
    files.map(async (file) => {
      const content = await readFile(file, 'utf-8')
      return await parseMarkdown(content)
    })
  )

  results.forEach((result, i) => {
    console.log(`File ${files[i]}:`)
    console.log(`  - ${result.nodes.length} nodes`)
  })
}

4. Documentation Platform

vue
<template>
  <article class="prose">
    <Markdown :value="markdownContent" :components="docComponents" />
  </article>
</template>

<script setup lang="ts">
import { Markdown } from '@comark/vue'
import { docComponents } from './components'
</script>

API Reference Summary

Core Functions (comark)

typescript
// Asynchronous parsing
parseMarkdown(source: string, options?: ParserOptions): Promise<MarkdownDocument>

// Auto-close unclosed syntax
autoCloseMarkdown(source: string): string

HTML Rendering Functions (@comark/html)

typescript
// Render markdown to HTML string (parse + render in one step)
renderHtml(markdown: string, options?: ParserOptions & RendererOptions): Promise<string>

// Render a pre-parsed document to HTML
renderHtmlFromDocument(document: MarkdownDocument, options?: RendererOptions): Promise<string>

// Create a reusable render function with shared parser instance
createHtmlRenderer(options?: ParserOptions & RendererOptions): (markdown: string) => Promise<string>

Vue Components (@comark/vue)

vue
<Markdown :value="markdownString" :components="customComponents" />

React Components (@comark/react)

tsx
<Markdown value={markdownString} components={customComponents} />

Svelte Components (@comark/svelte)

svelte
<Markdown value={markdownString} components={customComponents} />

Angular Components (@comark/angular)

html
<comark-markdown [value]="markdownString" [components]="customComponents" />

Performance Characteristics

  • Serializable document model - compact array-based nodes
  • Lazy component loading - only load what's needed
  • Shiki highlighter caching - avoid re-initialization
  • Parallel processing - batch parse multiple files efficiently

TypeScript Support

Full TypeScript definitions included:

typescript
import type {
  MarkdownDocument,
  Node,
  ParserOptions,
} from 'comark'

Architecture Overview

┌─────────────────────────────────────────┐
│         Markdown Input (String)         │
└────────────────┬────────────────────────┘
        ┌────────▼────────┐
        │  Auto-close     │ (Optional)
        │  Unclosed       │
        │  Syntax         │
        └────────┬────────┘
        ┌────────▼────────┐
        │  Parse          │
        │  Frontmatter    │ (YAML)
        └────────┬────────┘
        ┌────────▼────────┐
        │  MarkdownIt     │
        │  + Plugins      │ (Comark, Tasks)
        └────────┬────────┘
        ┌────────▼────────┐
        │  Token          │
        │  Processing     │
        └────────┬────────┘
        ┌────────▼────────┐
        │  Comark         │
        │  AST            │
        └────────┬────────┘
        ┌────────▼────────┐
        │  Auto-unwrap    │ (Optional)
        └────────┬────────┘
        ┌────────▼────────┐
        │  Generate TOC   │
        └────────┬────────┘
        ┌────────▼────────┐
        │  MarkdownDocument     │
        │  (nodes + data  │
        │   + meta)       │
        └────────┬────────┘
     ┌───────────┬──────┴──────┬───────────┐
     ▼           ▼            ▼           ▼
┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐
│   Vue   │ │  React  │ │ Svelte  │ │ Angular │
│ Renderer│ │ Renderer│ │ Renderer│ │ Renderer│
└─────────┘ └─────────┘ └─────────┘ └─────────┘

Contributing & Testing

See the test specifications for examples of all supported syntax features.

Run tests:

bash
pnpm test

Run specific test:

bash
pnpm test -- tests/parse.test.ts

Resources

  • README: README.md - Installation and quick start
  • Specifications: SPEC/ - Complete syntax test cases

Summary

Comark is a comprehensive solution for parsing and rendering markdown with component support. It excels at:

  1. Extending Markdown - Component syntax without breaking compatibility
  2. Streaming Support - Real-time rendering with auto-close
  3. Serializable Documents - Efficient MarkdownDocument model with compact nodes
  4. Framework Support - First-class Vue, React, Svelte, and Angular integration
  5. Developer Experience - Full TypeScript support and comprehensive documentation

Choose Comark when you need:

  • Markdown with custom components
  • Streaming/incremental parsing
  • Real-time markdown editors
  • AI-generated content rendering
  • Documentation platforms
  • Static site generation with custom components

Next Steps:

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 Comark AI skill do?

Comark (Components in Markdown) parser: syntax, AST, Vue/React/Svelte/Angular renderers, plugins, and LLM streaming with auto-close.

Why use Comark on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/onmax/nuxt-skills/tree/main/skills/comark. 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 Comark?

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 Comark?

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

Is the Comark AI skill free?

It is published on GitHub by onmax. Check the repository for licensing terms. 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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