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Markstream Angular

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Simon-He95
markstream-angular

Integrate the alpha markstream-angular package into an Angular 20+ app. Use when Codex needs standalone component imports, signal-based examples, CSS wiring, custom HTML tags or customComponents setup, or optional peer integration in an Angular repository.

Overview

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

Use it in TypingMind

Enable Markstream Angular 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 Angular 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 Angular 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 Angular

Use this skill when the host app is Angular and the task is to adopt the Angular package cleanly.

Workflow

  1. Confirm the repo is Angular 20 or newer and accepts an alpha renderer API.
  2. Install markstream-angular plus only the requested optional peers.
  3. Import markstream-angular/index.css from the app shell.
    • Add katex/dist/katex.min.css when math is enabled.
  4. Prefer standalone Angular integration.
    • Use MarkstreamAngularComponent in imports and keep examples signal-friendly.
  5. Start with [content].
    • For streaming AI chat, keep [content] and use built-in smooth streaming first.
      • [smoothStreaming]="'auto'" is the default and activates when [typewriter]="true" or [maxLiveNodes]="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 component starts streaming and later switches to history when [final]="true".
      • Streaming: [smoothStreaming]="'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: [smoothStreaming]="false", [fade]="true", [typewriter]="false". Content is already complete — pacing would slow it down, but fade gives a polished entry animation.
      • Dynamic switch: [smoothStreaming]="isStreaming ? 'auto' : false", [fade]="!isStreaming".
    • Use [final] for end-of-stream state; final parsing is gated until visible content catches up when smooth streaming is active.
    • Move to nodes + final only for worker-preparsed content, shared AST stores, or custom AST control.
    • Remember that [htmlPolicy] now defaults to 'safe', and Mermaid strict mode is on by default through [mermaidProps].
  6. Use [customHtmlTags] and [customComponents] for trusted tag workflows.
  7. Validate with the smallest useful Angular dev or build command.

Default Decisions

  • Standalone Angular first, NgModule-era patterns only when the repo still depends on them.
  • Treat the cursor as opt-in (typewriter=false by default), but keep fade animations enabled by default (fade=true).
  • Keep optional peers minimal and explicit.
  • Keep [htmlPolicy]="'safe'" and Mermaid strict mode unless the task is preserving trusted legacy rendering.
  • If a trusted surface needs broader old behavior, opt out locally with [htmlPolicy]="'trusted'" and [mermaidProps]="{ isStrict: false }", and document that trust boundary.

Useful Doc Targets

  • docs/guide/angular-quick-start.md
  • docs/guide/angular-installation.md
  • docs/guide/playground.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 Angular AI skill do?

Integrate the alpha markstream-angular package into an Angular 20+ app. Use when Codex needs standalone component imports, signal-based examples, CSS wiring, custom HTML tags or customComponents setup, or optional peer integration in an Angular repository.

Why use Markstream Angular on TypingMind?

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

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

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 Angular?

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

Is the Markstream Angular 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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