Chatbot Mvp Distillation

Community

pdsuwwz

chatbot-mvp-distillation

Distill the chatgpt-vue3-light-mvp project into reusable architecture for building similar ChatGPT-style web products in other repositories. Use when designing or implementing streaming chatbot UIs, SSE/fetch response pipelines, model adapter contracts, typewriter rendering, Markdown/code/KaTeX/Mermaid rendering, reasoning-block display, or migration plans inspired by this Vue 3 MVP.

Overview

Publisher	pdsuwwz
Repository	`chatgpt-vue3-light-mvp`
Skill name	`chatbot-mvp-distillation`
Stars	580
Forks	91
Bundled files	6
License	MIT
Links	Skill source Repository Homepage

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.
6 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by pdsuwwz on GitHub. Read the source before you install it.

Installation

Install the Chatbot Mvp Distillation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/pdsuwwz/chatgpt-vue3-light-mvp/tree/main/.agents/skills/chatbot-mvp-distillation
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/pdsuwwz/chatgpt-vue3-light-mvp/tree/main/.agents/skills/chatbot-mvp-distillation

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/pdsuwwz/chatgpt-vue3-light-mvp.git /tmp/chatgpt-vue3-light-mvp
mkdir -p .claude/skills
cp -r /tmp/chatgpt-vue3-light-mvp/.agents/skills/chatbot-mvp-distillation .claude/skills/chatbot-mvp-distillation

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Chatbot Mvp Distillation 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 Chatbot Mvp Distillation 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 Chatbot Mvp Distillation 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.

Chatbot MVP Distillation

Use this skill to borrow the architectural lessons from chatgpt-vue3-light-mvp without copying the project blindly.

The source project is a Vue 3 + Vite + TypeScript MVP for single-turn LLM chat. Its reusable ideas are:

split model-specific streaming formats from UI rendering
normalize model deltas into plain text chunks before display
render text with a typewriter buffer so network speed and UI speed are decoupled
process Markdown, code highlighting, math, Mermaid diagrams, and reasoning blocks as a rendering pipeline
keep mock streams available so downstream projects can develop without real API keys

Workflow

Identify the target project's framework, state management, and API boundary.
Read references/architecture.md for the reusable component boundaries.
Read references/streaming-sse.md when implementing fetch/SSE/ReadableStream handling.
Read references/model-adapters.md when adding providers or normalizing response formats.
Read references/markdown-rendering.md when implementing rich answer rendering.
Read references/migration-checklist.md before proposing or editing code in another project.

Output Expectations

When using this skill in another project:

describe the adapted architecture before editing code
keep provider adapters independent from UI components
define a small stream delta contract before implementing providers
include a mock stream path for local development
call out target-project changes that differ from the Vue MVP
verify streaming, abort, completion, Markdown, code blocks, math, and Mermaid behavior when feasible

Source Anchors

Use these files as source examples from this repository:

src/views/chat.vue for input, model selection, reader lifecycle, and stop behavior
src/store/business/index.ts for the service/store boundary that creates readers
src/components/MarkdownPreview/transform/index.ts for SSE and JSON chunk splitting
src/components/MarkdownPreview/models/index.ts for provider adapters and delta transforms
src/components/MarkdownPreview/index.vue for typewriter rendering and completion state
src/components/MarkdownPreview/plugins/markdown.ts for Markdown, KaTeX, Mermaid, and reasoning-block rendering

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 Chatbot Mvp Distillation AI skill do?

Why use Chatbot Mvp Distillation on TypingMind?

Because you install it once and use it with any model. Chatbot Mvp Distillation 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 Chatbot Mvp Distillation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pdsuwwz/chatgpt-vue3-light-mvp/tree/main/.agents/skills/chatbot-mvp-distillation. 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 Chatbot Mvp Distillation?

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 Chatbot Mvp Distillation?

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

Is the Chatbot Mvp Distillation AI skill free?

Yes. It is published on GitHub by pdsuwwz 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Chatbot MVP Distillation

Workflow

Output Expectations

Source Anchors

Bundled files

Frequently asked questions

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