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Markstream Nuxt

CommunityPopular
Simon-He95
markstream-nuxt

Integrate markstream-vue into a Nuxt 3 or Nuxt 4 app. Use when Codex needs client-only boundaries, SSR-safe setup, browser-only peer gating, worker-aware initialization, renderer `mode` selection, or a safe `MarkdownRender` integration inside pages, components, or Nuxt plugins.

Overview

PublisherSimon-He95
Repositorymarkstream-vue
Skill namemarkstream-nuxt
Stars
3K
Forks
188
Bundled files
1
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.

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

Installation

Install the Markstream Nuxt 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-nuxt
  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-nuxt .claude/skills/markstream-nuxt
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Markstream Nuxt 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 Nuxt 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 Nuxt 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 Nuxt

Use this skill when the host app is Nuxt and SSR boundaries matter.

Workflow

  1. Confirm the repo is Nuxt 3 or 4.
  2. Install markstream-vue plus only the optional peers required by the requested features.
  3. Keep browser-only peers behind client-only boundaries.
    • Prefer <client-only> wrappers, .client plugins, or guarded setup paths.
  4. Import markstream-vue/index.css from a client-safe app shell or plugin.
    • The root JS import does not inject styles; use markstream-vue/index.css or markstream-vue/index.px.css explicitly.
  5. Start with content, choose the renderer mode by surface, and move to nodes plus final only when the UI needs custom AST control.
    • Use mode="chat" for AI chat or SSE output. It uses lightweight batches, fade=false, and max-live-nodes=0; smooth-streaming="auto" paces visible output.
    • Use mode="docs" for rich document surfaces. It is the default and enables larger batches, tooltips, and fade.
    • Use mode="minimal" for lightweight non-chat surfaces.
    • Regular fenced code uses the built-in renderer, enhanced by stream-diffs when the optional peer is installed. Use render-code-blocks-as-pre for a forced plain path or setCustomComponents(customId, { code_block: ... }) for a scoped application-owned renderer.
    • typewriter only controls the blinking cursor and defaults to false. Prefer typewriter="simple" for high-frequency chat.
    • In Vue 3 (including Nuxt), smooth-streaming controls output pacing and fade controls opacity; they can be enabled together. mode="chat" keeps fade=false as a lightweight default. Add fade when gradual text reveal is desired; keep it off when animation cost matters more. Vue 3 append fades use stable batches (200 ms, 50 ms coalescing window, at most four batches per text node); later appends do not restart earlier batches.
    • Streaming vs recovering history: in chat UIs the same MarkdownRender starts streaming and later switches to history when final=true.
      • Streaming: start with mode="chat" and final; add fade for text reveal and typewriter only when a cursor is wanted.
      • Recovering/completed chat history: keep mode="chat" on the same chat row; use :smooth-streaming="false", typewriter=false, and choose fade independently for the desired entry/reveal effect. Do not bind it to the inverse of streaming state unless that visual policy is intentional.
      • Use mode="minimal" for lightweight non-chat recovered content, and use mode="docs" only for rich document surfaces.
    • In SSR, avoid smooth-streaming="true" on first-screen content; the mounted gate inside auto prevents hydration mismatch.
    • Remember that html-policy now defaults to safe, and Mermaid strict mode is on by default through mermaid-props.
  6. Validate with the smallest relevant Nuxt dev, build, or typecheck command.

Default Decisions

  • SSR safety comes before feature completeness.
  • Omit mode only when the surface should use rich docs defaults.
  • Smooth streaming is SSR-safe in auto mode (the default) because it gates on mount. Do not use smooth-streaming="true" for first-screen SSR content — it bypasses the mounted gate and can cause hydration mismatch or blank flash.
  • For a non-virtual chat scroller, import useStickToBottom from markstream-vue/utils and call scheduleScrollToBottom() after Vue commits new content. The composable attaches browser listeners after mount; use MarkstreamVirtualTimeline with stick-to-bottom="auto" for long mixed timelines.
  • Avoid import-time access to browser globals from server code paths.
  • Treat the enhanced code runtime, Mermaid workers, and similar heavy peers as client-only unless the repo already has a proven SSR pattern.
  • For large code blocks, the optional off-thread highlight pool (setStreamDiffsWorkerPool from markstream-vue, backed by an upstream @pierre/diffs WorkerPoolManager) is also client-only: inject it in a client-only plugin/component, never in server code paths.
  • Enhanced code blocks in every Markstream package use stream-diffs; do not install stream-monaco.
  • Use top-level code-block-options for supported built-in code-surface configuration. Keep theme, code/language, streaming lifecycle, header, mounting, reveal, and disposal under Markstream's control.
  • Keep html-policy="safe" and Mermaid strict mode unless the task is preserving trusted legacy rendering.
  • If a trusted client-only surface needs older behavior, opt out locally with html-policy="trusted" and :mermaid-props="{ isStrict: false }", and document why that surface is trusted.

Useful Doc Targets

  • docs/nuxt-ssr.md
  • docs/guide/installation.md
  • docs/guide/usage.md
  • docs/guide/troubleshooting.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 Nuxt AI skill do?

Integrate markstream-vue into a Nuxt 3 or Nuxt 4 app. Use when Codex needs client-only boundaries, SSR-safe setup, browser-only peer gating, worker-aware initialization, renderer `mode` selection, or a safe `MarkdownRender` integration inside pages, components, or Nuxt plugins.

Why use Markstream Nuxt on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Simon-He95/markstream-vue/tree/main/.agents/skills/markstream-nuxt. 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 Nuxt?

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 Nuxt?

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

Is the Markstream Nuxt 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.

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