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Markstream Vue2

CommunityPopular
Simon-He95
markstream-vue2

Integrate markstream-vue2 into a Vue 2.6 or 2.7 app. Use when Codex needs Vue 2-compatible setup, `@vue/composition-api` decisions, CSS wiring, optional peer setup, or scoped Markstream overrides in a Vue 2 repository that is not specifically Vue CLI / Webpack 4 constrained.

Overview

PublisherSimon-He95
Repositorymarkstream-vue
Skill namemarkstream-vue2
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 Vue2 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-vue2
  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-vue2 .claude/skills/markstream-vue2
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Markstream Vue2 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 Vue2 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 Vue2 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 Vue 2

Use this skill when the host app is Vue 2 and not specifically a Vue CLI / Webpack 4 edge case.

Workflow

  1. Confirm the repo is Vue 2.6 or 2.7.
  2. Install markstream-vue2.
    • Add @vue/composition-api only when the repo is Vue 2.6 and uses Composition API patterns.
  3. Import markstream-vue2/index.css after resets.
  4. Start with <MarkdownRender :content="markdown" />.
    • For AI chat or streaming UIs, keep content and use built-in smooth streaming first.
      • smooth-streaming="auto" is the default and activates when typewriter=true or max-live-nodes <= 0.
      • typewriter only controls the blinking cursor and defaults to false.
      • fade controls node enter and streamed-text fade animations and defaults to true.
    • Streaming vs recovering history: in chat UIs the same MarkdownRender starts streaming and later switches to history when final=true.
      • Streaming: smooth-streaming="auto", :fade="false", typewriter=true. This is a conservative visual/performance choice, not an API incompatibility. This adapter has not adopted Vue 3's bounded append fades, so verify its animation behavior before enabling both.
      • Recovering history: :smooth-streaming="false", :fade="true", typewriter=false. Content is already complete — pacing would slow it down, but fade gives a polished entry animation.
      • Dynamic switch: :smooth-streaming="isStreaming ? 'auto' : false", :fade="!isStreaming".
    • Move to nodes + final only for worker-preparsed content, shared AST stores, or custom AST control.
    • Remember that html-policy now defaults to safe, and Mermaid strict mode is on by default through mermaid-props.
  5. Use scoped custom component mappings when the task needs overrides or trusted tags.
  6. Validate with the smallest useful dev or build command.

Default Decisions

  • Vue 2.7 can use built-in Composition API support.
  • Vue 2.6 needs @vue/composition-api only when the codebase actually relies on Composition API.
  • If the repo is Vue CLI / Webpack 4, prefer markstream-vue2-cli.
  • If the repo is Vue 2 plus Vite worker imports, prefer markstream-vue2-vite.
  • Keep html-policy="safe" and Mermaid strict mode unless the task is preserving trusted legacy rendering.
  • If a trusted surface needs older behavior, use html-policy="trusted" and :mermaid-props="{ isStrict: false }" only on that surface and explain why.

Useful Doc Targets

  • docs/guide/vue2-quick-start.md
  • docs/guide/vue2-installation.md
  • docs/guide/vue2-components.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 Vue2 AI skill do?

Integrate markstream-vue2 into a Vue 2.6 or 2.7 app. Use when Codex needs Vue 2-compatible setup, `@vue/composition-api` decisions, CSS wiring, optional peer setup, or scoped Markstream overrides in a Vue 2 repository that is not specifically Vue CLI / Webpack 4 constrained.

Why use Markstream Vue2 on TypingMind?

Because you install it once and use it with any model. Markstream Vue2 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 Vue2 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Simon-He95/markstream-vue/tree/main/.agents/skills/markstream-vue2. 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 Vue2?

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 Vue2?

As many as you like. As long as a model supports skills, you can use Markstream Vue2 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Markstream Vue2 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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