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Artifact Markdown

Community
win4r
artifact_markdown

Build or revise a plain markdown file (md) deliverable such as notes, a README, meeting minutes, documentation, or text the user will edit or paste elsewhere. Use whenever a build task's artifact kind is markdown. Covers markdown formatting conventions and read-back verification.

Overview

Publisherwin4r
RepositoryMuseAI-Skills
Skill nameartifact_markdown
Stars
382
Forks
116
Bundled files
Instructions only
Links
Skill sourceRepositoryHomepage
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by win4r on GitHub. Read the source before you install it.

Installation

Install the Artifact Markdown 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/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/artifacts/markdown
  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/win4r/MuseAI-Skills.git /tmp/MuseAI-Skills
mkdir -p .claude/skills
cp -r /tmp/MuseAI-Skills/opt/hatch/skills/artifacts/markdown .claude/skills/artifact_markdown
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Artifact Markdown 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 Artifact Markdown 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 Artifact Markdown 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.

Markdown artifacts

A markdown deliverable is plain text written directly with the file tools: append sections with muse.write in append mode, keep each write small, and use muse.edit for surgical fixes. There is no compile step; the file at <slug>.md in the project directory root is the deliverable.

TaskRead first
Formatting (tables, lists, emphasis, headings)/opt/hatch/skills/artifacts/references/markdown.md (shared)

Structure follows the content: real markdown headings, real list syntax, tables only where rows and columns genuinely align. The file ships as the user's own text, so no build scaffolding, no HTML unless the user asked for it, and no trailing commentary that isn't part of the document.

Verification

Follow /opt/hatch/skills/artifacts/testing/SKILL.md: read the finished file back in full before returning the link, checking structure renders as intended and no placeholder or scratch content remains.

Frequently asked questions

What does the Artifact Markdown AI skill do?

Build or revise a plain markdown file (md) deliverable such as notes, a README, meeting minutes, documentation, or text the user will edit or paste elsewhere. Use whenever a build task's artifact kind is markdown. Covers markdown formatting conventions and read-back verification.

Why use Artifact Markdown on TypingMind?

Because you install it once and use it with any model. Artifact Markdown 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 Artifact Markdown in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/artifacts/markdown. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Artifact Markdown?

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 Artifact Markdown?

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

Is the Artifact Markdown AI skill free?

It is published on GitHub by win4r. Check the repository for licensing terms. 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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