Export Standalone

Community

bluzir

export-standalone

Bundle an HTML artifact into a single self-contained file with all CSS/JS/images inlined as data URLs. Requires `monolith` CLI (brew install monolith).

Overview

Publisher	bluzir
Repository	`claude-code-design`
Skill name	`export-standalone`
Stars	107
Forks	11
Bundled files	Instructions only
Links	Skill source Repository

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 bluzir on GitHub. Read the source before you install it.

Installation

Install the Export Standalone 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/bluzir/claude-code-design/tree/main/.claude/skills/export-standalone
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.

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/bluzir/claude-code-design.git /tmp/claude-code-design
mkdir -p .claude/skills
cp -r /tmp/claude-code-design/.claude/skills/export-standalone .claude/skills/export-standalone

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

Use it in TypingMind

Enable Export Standalone 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 Export Standalone 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 Export Standalone 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.

Export Standalone

Produce a single HTML file that works offline (no external dependencies). Uses monolith — a Rust CLI that inlines everything.

Preflight

Bash(which monolith) — check installed. If missing:
- Tell user: "monolith not found. Install with brew install monolith (macOS) and rerun."
- Stop.

Steps

Resolve paths:
- $0 = input HTML (required)
- $1 = output HTML (default: <input>-standalone.html)
- Bash(mkdir -p $(dirname <output>)) if needed

Run monolith:


Bash(monolith "<input>" --isolate --no-metadata -o "<output>")

Flags:

--isolate — CSP to prevent any remote resource loads after bundling
--no-metadata — strip  metadata

Report:
- Bash(stat -f%z "<output>") or Bash(ls -la "<output>") for size
- "Bundled <input> → <output> (<size> KB). Works offline."

Tradeoffs

Pros: single file, drop in email/chat, no CDN dependency, survives archive
Cons: larger file size (5-10× original), no HMR, fonts often inlined as base64 (bigger)
Interactivity preserved (React + Babel still run at load time), but network fetches fail by design

Frequently asked questions

What does the Export Standalone AI skill do?

Bundle an HTML artifact into a single self-contained file with all CSS/JS/images inlined as data URLs. Requires `monolith` CLI (brew install monolith).

Why use Export Standalone on TypingMind?

Because you install it once and use it with any model. Export Standalone 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 Export Standalone in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bluzir/claude-code-design/tree/main/.claude/skills/export-standalone. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Export Standalone?

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 Export Standalone?

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

Is the Export Standalone AI skill free?

It is published on GitHub by bluzir. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Export Standalone

Preflight

Steps

Tradeoffs

Frequently asked questions

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