Aster Atelier logo

Aster Atelier

OrganizationPopular
nexu-io
aster-atelier

Use this template when the user wants an artistic creative-studio website with classical imagery, cobalt skies, elegant serif typography and cinematic scrolling.

Overview

Publishernexu-io
Repositoryopen-design
Skill nameaster-atelier
Stars
100.6K
Forks
11.6K
Bundled files
4
LicenseApache-2.0
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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by nexu-io on GitHub. Read the source before you install it.

Installation

Install the Aster Atelier 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/nexu-io/open-design/tree/main/design-templates/aster-atelier
  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/nexu-io/open-design.git /tmp/open-design
mkdir -p .claude/skills
cp -r /tmp/open-design/design-templates/aster-atelier .claude/skills/aster-atelier
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aster Atelier 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 Aster Atelier 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 Aster Atelier 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.

Aster Atelier

Start from example.html. It is the full runnable source, with embedded original artwork, styles and JavaScript. Keep its visual composition and functional interactions while adapting the brand and copy to the user's brief. Do not substitute a screenshot or use an unrelated website as source.

Visual system

  • Palette: cobalt #0758bc, deep night #083d86, ivory #fffaf0, parchment #fff6e3, bronze #f5cf7c.
  • System serif typography: Georgia / Times New Roman; system sans and monospace for body and coordinates. No fonts are distributed.
  • Editorial composition: generous side margins, large serif headings, small uppercase coordinates, fine rules and open space.
  • Five chapters: astronomer hero, point-cloud instrument / approach, observatory artwork and services, questions / contact, oversized wordmark footer.
  • The two original illustrations are embedded WebP data URIs. Reuse them directly, preserving aspect and focus; do not fetch the previous inspiration site's resources.
  • The armillary instrument is original Canvas 2D point-cloud code with three-dimensional rotation, drawn procedurally. Preserve its animation visibility gating and DPR cap.

Interaction contract

  • Hero CTA scrolls to approach. Navigation has functioning chapter anchors.
  • Navigation and contact use native dialog, with close buttons, Escape handling and focus return.
  • Services and FAQ use native details / summary.
  • Form inputs have visible labels, HTML validation and local-only save feedback. No fake submission or external endpoint. The user can download a text brief.
  • Honor reduced motion. Stop the canvas loop while offscreen or in a hidden tab.
  • Preserve mobile layout at 390px, legible headings, usable controls and no horizontal overflow.

Workflow

  1. Read the seed and the user's brand/context; keep sensible defaults for missing optional details.
  2. Edit copy, semantic content and brand without flattening the layout.
  3. Keep it self-contained. Do not introduce external scripts, paid images or fonts.
  4. Render the page; check hero, all chapter links, menus, modal focus, forms and mobile overflow.
  5. Read references/checklist.md and pass its P0 gates before delivery.
  6. Deliver the runnable artifact according to the host execution profile: write canonical files when filesystem tools are available, or emit one complete artifact when the host requires text artifacts. Describe backend behavior honestly. Never fabricate project metrics, awards or client endorsements.

ASSET-SOURCES.md records the original generated art and code provenance. The demo brand does not represent a real client or imply endorsement.

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 Aster Atelier AI skill do?

Use this template when the user wants an artistic creative-studio website with classical imagery, cobalt skies, elegant serif typography and cinematic scrolling.

Why use Aster Atelier on TypingMind?

Because you install it once and use it with any model. Aster Atelier 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 Aster Atelier in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nexu-io/open-design/tree/main/design-templates/aster-atelier. 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 Aster Atelier?

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 Aster Atelier?

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

Is the Aster Atelier AI skill free?

Yes. It is published on GitHub by nexu-io under the Apache-2.0 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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