Markstream Custom Components logo

Markstream Custom Components

CommunityPopular
Simon-He95
markstream-custom-components

Override built-in Markstream node renderers and add trusted custom tags across Vue, React, Svelte, and Angular. Use when Codex needs scoped `setCustomComponents`, renderer-local React `streamingComponents` or `htmlComponents`, Angular/Svelte `customComponents`, Vue app-scoped components, node override keys such as `image`, `code_block`, `mermaid`, or `link`, or nested renderers for tags such as `thinking`.

Overview

PublisherSimon-He95
Repositorymarkstream-vue
Skill namemarkstream-custom-components
Stars
3K
Forks
188
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by Simon-He95 on GitHub. Read the source before you install it.

Installation

Install the Markstream Custom Components 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/Simon-He95/markstream-vue/tree/main/.agents/skills/markstream-custom-components
  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/Simon-He95/markstream-vue.git /tmp/markstream-vue
mkdir -p .claude/skills
cp -r /tmp/markstream-vue/.agents/skills/markstream-custom-components .claude/skills/markstream-custom-components
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Markstream Custom Components 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 Markstream Custom Components 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 Markstream Custom Components 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.

Markstream Custom Components

Use this skill when the task is to change how Markstream renders specific nodes or custom tags.

Read references/patterns.md before choosing an override strategy.

Workflow

  1. Classify the request.
    • built-in override: replace an existing renderer such as image, link, code_block, mermaid, d2, or inline_code.
    • custom tag: support trusted HTML-like tags such as thinking.
    • parser-level: requires token transforms or AST reshaping. Only then should you leave this skill and use low-level parser hooks.
  2. Prefer scoped mappings.
    • Vue, Vue 2, Svelte, and shared Angular registration: use setCustomComponents(customId, mapping) instead of global mappings whenever practical, and pass the same customId / custom-id.
    • React custom tags: prefer renderer-local streamingComponents for parser-backed nodes or htmlComponents for sanitized HTML props plus children. Use defineStreamingComponents(...) / defineHtmlComponents(...) for typed maps. Keep setCustomComponents for built-in node overrides or shared legacy registration.
    • Svelte and Angular can also pass a renderer-local customComponents map when the override should not enter the shared registry.
    • In Vue 3 app/plugin setup, import { VueRendererMarkdown } from markstream-vue and install it with { components } when the override should be scoped to the Vue app instance.
  3. Start with the smallest safe override.
    • Leaf-like nodes (image, link, inline_code, mermaid) are easier than container nodes (heading, paragraph, list_item).
    • If the request only changes Mermaid, use mermaid, not code_block.
  4. Preserve nested Markdown when needed.
    • For trusted custom tags with inner Markdown, render node.content with a nested renderer.
    • Pass the same custom-tag allowlist to nested renderers.
    • Nested renderers inside a smooth-streaming parent are automatically suppressed from double pacing — do not add smooth-streaming to child renderers.
    • In React, streamingComponents automatically contributes its keys to the effective custom-tag list; do not duplicate those keys in customHtmlTags unless another parser path needs them.
  5. Keep props and cleanup intact.
    • Preserve node, loading, indexKey, customId, and isDark.
    • For mermaid and infographic overrides, preserve estimatedPreviewHeightPx so async preview shells keep stable height during remounts.
    • Remove temporary scoped mappings with removeCustomComponents(customId) when the scope is no longer needed.
  6. Validate with the smallest useful check.
    • Prefer a local demo, targeted test, or docs build.
    • Call out whether the implementation is safe for repeated and nested custom tags.

Default Decisions

  • Scoped overrides first, global overrides only when the whole app truly needs them.
  • Leaf-node overrides before container-node overrides.
  • customHtmlTags plus scoped custom components before parser hooks.
  • In React, renderer-local component maps before registry mutation.
  • Nested renderers for tag bodies that contain Markdown.

Useful Doc Targets

  • docs/guide/component-overrides.md
  • docs/guide/custom-components.md
  • docs/guide/react-components.md
  • docs/guide/components.md
  • docs/guide/advanced.md

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 Markstream Custom Components AI skill do?

Override built-in Markstream node renderers and add trusted custom tags across Vue, React, Svelte, and Angular. Use when Codex needs scoped `setCustomComponents`, renderer-local React `streamingComponents` or `htmlComponents`, Angular/Svelte `customComponents`, Vue app-scoped components, node override keys such as `image`, `code_block`, `mermaid`, or `link`, or nested renderers for tags such as `thinking`.

Why use Markstream Custom Components on TypingMind?

Because you install it once and use it with any model. Markstream Custom Components 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 Markstream Custom Components in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Simon-He95/markstream-vue/tree/main/.agents/skills/markstream-custom-components. 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 Markstream Custom Components?

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 Markstream Custom Components?

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

Is the Markstream Custom Components AI skill free?

Yes. It is published on GitHub by Simon-He95 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.

View all

Set up your own AI workspace now

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