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Demo

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Houseofmvps
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Demo-Ready Mode — prepare your app for demos, screenshots, and presentations. Use when user wants to demo their app, take screenshots, prepare for a presentation, or clean up dev artifacts.

Overview

PublisherHouseofmvps
Repositoryultraship
Skill namedemo
Stars
122
Forks
14
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

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

Installation

Install the Demo 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.
  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/Houseofmvps/ultraship.git /tmp/ultraship
mkdir -p .claude/skills
cp -r /tmp/ultraship/skills/demo .claude/skills/demo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Demo 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 Demo 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 Demo 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.

Demo-Ready Mode

One command to make your app demo-ready. Clean up dev artifacts, check visual polish, generate a walkthrough script.

Process

Phase 1: Scan

bash
node ${CLAUDE_PLUGIN_ROOT}/tools/demo-prep.mjs <project-directory>

Parse the JSON output for demo readiness score and issues.

Phase 2: Demo Readiness Report

Present the demo readiness score and status:

  • Demo Ready (90-100): Ship it, present it
  • Almost Ready (70-89): A few things to clean up
  • Needs Work (below 70): Significant polish needed

Phase 3: Fix Dev Artifacts

For each category of issues found:

Console Logs (Priority: High) Remove all console.log/debug statements from production code:

  • Use Edit tool to remove each one
  • Keep console.error for legitimate error handling
  • Skip test files

TODO Comments (Priority: Medium) For each TODO:

  • If it's blocking the demo: implement it
  • If it's not blocking: remove the comment or convert to a GitHub issue

Placeholder Text (Priority: High) Replace all Lorem ipsum and placeholder text with real copy that makes sense for the product.

Phase 4: Visual Polish

Fix visual issues found:

Missing Favicon:

  • Suggest the user add one, or offer to create a simple SVG favicon

Default Branding:

  • Remove framework default logos/text
  • Ensure the app shows the user's brand

Error Pages:

  • Create a custom 404 page if missing
  • Create a custom 500 page if missing

Loading States:

  • Add loading spinners/skeletons where async content loads

Empty States:

  • Replace "No data" with helpful, friendly empty state messages
  • Add CTAs in empty states ("Create your first X")

Phase 5: Seed Data

If the app has a seed file:

  • Remind user to run it: [seed command from tool output]
  • Verify seed data creates a compelling demo state

If no seed file exists:

  • Suggest creating one with realistic demo data
  • Help create a basic seed script if the user wants

Phase 6: Walkthrough Script

Present the auto-generated walkthrough:

For each step:

  1. Action — what to do (navigate, click, fill)
  2. Screenshot — whether to capture this screen
  3. Talking point — what to say/highlight at this step
  4. Notes — things to point out or avoid

Phase 7: Screenshot Capture

If the user wants screenshots, use Playwright MCP:

  1. Navigate to each walkthrough URL
  2. Use browser_resize for the target viewport
  3. Use browser_take_screenshot at each step
  4. Capture both desktop and mobile versions of key screens

Phase 8: Final Check

After all fixes, re-run the tool to verify the score improved:

bash
node ${CLAUDE_PLUGIN_ROOT}/tools/demo-prep.mjs <project-directory> --check-only

Report the before/after scores.

Key Principle

First impressions are forever. A demo with console.logs, Lorem ipsum, and empty states kills credibility. A polished demo with real data and smooth flows wins deals, users, and investors.

Frequently asked questions

What does the Demo AI skill do?

Demo-Ready Mode — prepare your app for demos, screenshots, and presentations. Use when user wants to demo their app, take screenshots, prepare for a presentation, or clean up dev artifacts.

Why use Demo on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Houseofmvps/ultraship/tree/main/skills/demo. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Demo?

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 Demo?

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

Is the Demo AI skill free?

Yes. It is published on GitHub by Houseofmvps 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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