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Html Prototype

OrganizationPopular
plannotator
html-prototype

Direct-invocation specialist for polished, responsive, self-contained HTML mockups and interactive prototypes grounded in the user's conversation, product context, and design language. Use when the user explicitly invokes html-prototype or the broad html skill routes a mockup or prototype request here. Do not activate independently from a general request. Treat a mockup as a noninteractive fidelity mode within this skill, not as a separate skill.

Overview

Publisherplannotator
Repositoryeffective-html
Skill namehtml-prototype
Stars
3.2K
Forks
218
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Html Prototype 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/plannotator/effective-html.git /tmp/effective-html
mkdir -p .claude/skills
cp -r /tmp/effective-html/skills/html-prototype .claude/skills/html-prototype
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Html Prototype 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 Html Prototype 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 Html Prototype 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.

HTML Prototype

Build a credible model of a product decision. Match the artifact to the user's context instead of applying a recurring house style. The goal is not to make every possible screen. The goal is to make the important visual or behavioral question testable.

Choose the fidelity mode

Use one of two modes:

  • Mockup: Create a polished, responsive, mostly static artifact when the open question is visual hierarchy, layout, typography, color, or product fit.
  • Prototype: Create a working flow when the open question is navigation, input, state change, feedback, recovery, or transition.

Do not create a separate html-mockup skill. Do not add behavior merely to make a mockup seem more complete. If a user asks for both modes, preserve the same content and structure so changes in fidelity remain easy to compare.

Derive the direction from context

Inspect the conversation, supplied references, and project before designing. Look for design-system documentation, tokens, existing components, product screenshots, and nearby artifacts.

Authority runs in this order:

  1. The user's explicit visual and functional instructions.
  2. The project's established design language and interaction conventions.
  3. The product, audience, content, and scenario.
  4. Your own design judgment.

Before coding, settle:

  • the user and critical job;
  • the bounded scenario under review;
  • mockup or prototype mode;
  • the source of the visual direction;
  • the relevant state model;
  • the point where the real product would take over.

When no design system exists, create a specific direction from the subject and use case. Do not default to a gradient, a dark dashboard, interchangeable cards, or decorative metrics. A prototype for a field tool, an editorial workflow, and a financial approval should not feel like the same product.

When design-artifact is available and the visual direction remains open, read and compose it with this skill. Use it to choose the register, palette, type, and composition; keep this skill authoritative for fidelity, state, and interaction completeness.

Scope one credible experience

Choose the smallest flow that can answer the review question. Use realistic, internally consistent names, dates, statuses, quantities, and copy.

  • Make navigation work for the modeled scope.
  • Implement forms with labels, validation, submission feedback, and sensible defaults.
  • Use dialogs only when interruption or confirmation is part of the scenario.
  • Use transitions to clarify continuity or state change, not as decoration.
  • Remove dead buttons. If an action belongs to the real system, explain the boundary instead of pretending it completed.

Model relevant states

List the states before building. Include the states that the chosen scenario can actually reach:

  • loading;
  • empty;
  • error;
  • success;
  • disabled;
  • mobile;
  • domain-specific states from the brief.

An asynchronous-looking prototype action should normally show loading, success, and failure or recovery. A collection should normally consider empty state. A gated action should show why it is disabled. Do not force irrelevant states into the main flow just to satisfy a checklist. Make omitted states explicit in the handoff.

Make interaction complete

  • Use native elements when they provide the right semantics.
  • Support the entire modeled flow with a keyboard.
  • Keep focus visible and place it deliberately after meaningful transitions.
  • Give dialogs an accessible name, contain focus, close on Escape, and restore focus to the trigger.
  • Associate form errors with their controls and announce important status changes.
  • Do not hide essential behavior behind hover.
  • Respect prefers-reduced-motion while preserving state feedback.
  • Make touch targets usable and prevent accidental page-level horizontal overflow.

In mockup mode, preserve semantic structure and visible focus styles even if the controls are not wired. Make the static review boundary clear.

Build contract

  • Deliver one self-contained .html file with essential CSS and JavaScript inline.
  • Require no build tooling, authentication, live API, or external service.
  • Use a responsive composition rather than shrinking a desktop canvas.
  • Keep design tokens small and specific to the chosen direction.
  • Use accessible contrast and more than color alone to communicate state.
  • Prefer depth and correctness in one flow over breadth across a fake product.

Verify and hand off

Test the artifact at wide desktop and narrow mobile widths. Exercise every modeled state and control. Test Tab, Shift+Tab, Enter, Space, arrow keys where appropriate, and Escape for dialogs. Check the console, page overflow, long content, disabled behavior, focus restoration, and reduced-motion mode.

Inspect computed foreground and background colors on every distinct surface, especially text that may inherit the body color inside a dark or tinted region. If browser tooling is unavailable, say which visual and interaction checks remain unverified instead of treating source inspection as a substitute.

Return the absolute file path, the fidelity mode, the scenario modeled, the states implemented, and the production behavior deliberately left out.

Further reading

Read Plannotator's HTML wireframes and prototypes for coding agents for guidance on moving from an approved structure to a mockup or working prototype.

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 Html Prototype AI skill do?

Direct-invocation specialist for polished, responsive, self-contained HTML mockups and interactive prototypes grounded in the user's conversation, product context, and design language. Use when the user explicitly invokes html-prototype or the broad html skill routes a mockup or prototype request here. Do not activate independently from a general request. Treat a mockup as a noninteractive fidelity mode within this skill, not as a separate skill.

Why use Html Prototype on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/plannotator/effective-html/tree/main/skills/html-prototype. 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 Html Prototype?

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 Html Prototype?

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

Is the Html Prototype AI skill free?

Yes. It is published on GitHub by plannotator 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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