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Prototype

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glebis
prototype

Make an idea lookable and clickable at the cheapest fidelity that answers its one open question — an ASCII sketch, a hand-drawn storyboard of moves, an SVG click-dummy with hotspots linking screens, or a self-contained HTML file. Use when the user wants to see or try an idea before committing to structure, tokens, or copy. Triggers on prototype, wireframe, mockup, click-dummy, sketch the screens, storyboard, hand-drawn sketch, sketchy wireframe, "draw the flow", "what would this look like", "mock this up", "show me the flow", "прототип", "макет".

Overview

Publisherglebis
Repositoryhumane-agentic-design
Skill nameprototype
Stars
38
Forks
3
Bundled files
8
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.

  • 8 bundled files

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

  • Open source

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

Installation

Install the 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.
    https://github.com/glebis/humane-agentic-design/tree/main/humane/skills/prototype
  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/glebis/humane-agentic-design.git /tmp/humane-agentic-design
mkdir -p .claude/skills
cp -r /tmp/humane-agentic-design/humane/skills/prototype .claude/skills/prototype
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

Prototype

Announce at start: "I'm using the humane:prototype skill to make this idea lookable and clickable at the cheapest fidelity that answers the question."

A prototype exists to answer exactly one open question — is this the right structure, does the navigation make sense, does the screen read at a glance — before anything expensive is committed. This skill produces the cheapest artifact that answers that question and stops.

Quick Reference

NeedWhere
Format contracts per rung: file layout, hotspot markup, self-containment, the SVG text trapsreferences/formats.md
Where the output file goessetup/references/paths.md — setup owns the path table
The editable design-file exit: availability, style archetypes, the active-document pre-flightreferences/design-file.md
Hand-drawn storyboard of moves: the look, frame rules, template, font embedreferences/storyboard.md, templates/storyboard.html, scripts/storyboard.py

The one question

Every prototype names, before anything is drawn, the single question it will answer. A broad request ("mock up the app") contains several candidate questions — extract them, and ask the user to pick one; a prototype chasing two questions answers neither. Record the chosen question in the artifact's notes block (see Output).

The question is settled only by the user saying so, or by a named reviewer's output — a respondent-panel read, a walkthrough result. The maker's own impression that a structure "looks right" settles nothing; this skill never reviews its own output, and it does not certify its own handoffs either. Until the question is settled, it stays open, and escalation waits.

Where it sits

The home case is greenfield: after jtbd, before design-tokens. The corpus says what job the interface serves; the prototype proposes a structure for it; only a structure that survives being looked at or clicked through deserves a token set.

jtbd is preferred, not required. Entered directly, with no corpus: offer to run jtbd first, and if the user declines, proceed — with "no corpus; structure is a guess" stated in the artifact's notes block.

Prototyping inside an existing system is also legitimate — a new screen for a product that already has tokens. The existing tokens are then context, and the token-faithful tier renders under them. What this skill still never does there is re-litigate the system: a finding about the tokens themselves belongs to design-tokens, and defects in the eventual real build to layout-rules.

The fidelity ladder

Three formats, in escalation order. Name the open question first, then pick the lowest rung that can answer it. The user's explicit format request always wins.

RungFormatAnswersNever claims
1ASCII — box-drawing sketch in a fenced code blockIs this the right structure? What goes where?Proportion, color, feel
2SVG click-dummy — screens as SVG frames, hotspots linking them, in one self-contained HTML fileDoes the navigation make sense? Can you get from A to B?Visual polish, real rendering behavior
3HTML — real markup and CSS, self-contained fileDoes the screen read? Do the interactions feel right?That it is the product

Escalate only when the current rung's question is settled (see "The one question" — settled by the user or a named reviewer, never by the maker) or when the open question lives on a higher rung. Do not skip rung 1 for a new structure — an ASCII sketch that is wrong costs one message to redraw; an HTML page that is wrong costs an argument.

HTML fidelity is the user's choice. Before building rung 3, ask which tier:

  • Wireframe — grayscale, system font, real copy, no brand. Default when no token set exists (the normal case at this point in the cycle).
  • Token-faithful — reads the project's compiled design-tokens CSS if one exists and renders under it. Offer this only when the tokens exist; never invent a palette to fake it — inventing one is brandkit's job.

Format contracts — file layout, hotspot markup, the self-containment rules — live in references/formats.md. Read it before producing rung 2 or 3.

Storyboard sketch — between rungs 1 and 2. When the open question is a sequence of moves across a canvas, map, or agent surface (drag, lasso, connect, accept a proposal) rather than screen structure or navigation, draw numbered hand-drawn frames, one move each. Start it with python3 scripts/storyboard.py new <path> --title "…" (the path comes from setup, as for every prototype), which embeds the handwriting font so the file stays self-contained. The look, the frame rules, and why its washes may carry colour live in references/storyboard.md; a worked example is examples/storyboard-map-workflows.html.

The editable exit: a design file

When the host exposes a design-file backend, a prototype can be produced as an editable design file (.pen) instead of a rung-3 HTML page. This is not rung 4 — the ladder produces disposable artifacts that answer one question; a design file is a living document someone keeps editing. Take this exit when the user wants to carry on designing, not when they want an answer to a question. The design_tool setting (setup) gates it: auto uses a backend when the host exposes one, none pins it off. Say which of the two artifact kinds you produced — "here is your prototype" means different things for a file that opens and a file that needs an app.

The full contract — availability and the doctor caveat, why style archetypes are scaffolding and not brand decisions, and the mandatory active-document pre-flight before any build (the backend writes into whatever document is open) — lives in references/design-file.md. Read it before taking this exit.

Copy in a prototype

The prototype drafts its own strings freely — buttons need words before ux-writing has run, and lorem ipsum hides layout truths. Ground the wording in the JTBD corpus where it exists. But drafted copy is scaffolding: if any prototype string is about to be reused in the real product, hand it to ux-writing — that skill owns the source wording of every user-facing string, and prototype copy that skips the handoff ships unreviewed.

Output

Every ladder prototype is a file the user can open, not a paste into chat (rung 1 may also be shown inline). It is self-contained: no CDN, no external fonts, no build step. Double-click opens it. The design-file exit is the stated exception — references/design-file.md owns its output rules.

The destination is setup's rule, not this skill's: resolve artifact_path(name, "prototype", "html") — it returns the complete file path (.design/prototype-<name>.html beside the project) — and never write to the working directory. The full path table, defaults, and prohibitions live in setup/references/paths.md. If the user names a place, use it.

Claude Code extras: offer to publish the file as an Artifact when the user wants a shareable link; the file on disk remains the source of truth.

Every prototype carries a notes block inside the file itself — a visible footer (rung 1: a paragraph under the sketch) — so the context travels with the artifact when it is opened alone. Chat may repeat it; it must never be the only copy. Three fields:

  1. The question this prototype answers, in one sentence.
  2. The job it serves, cited from the corpus (jtbd.json outcome or force) — or "no corpus; structure is a guess" when jtbd has not run.
  3. What is fake — drafted copy, invented data, dead controls — so a reviewer does not report scaffolding as findings.

Smoke test before handoff

Producing the file includes proving it meets its own format contract. This is production QA, not review — reviewing the design stays with respondent-panel, walkthrough, and the rest. Before handing the artifact over:

  • open the file with no hash and confirm the first screen shows;
  • follow every hotspot and every back link once;
  • confirm zero external requests (no CDN, fonts, or linked assets);
  • check every string against its container (the SVG text traps in references/formats.md).

Anything on this list that cannot be run is reported as Not verified, never silently assumed.

What this skill does not own

ConcernOwner
Whether the structure serves a real jobjtbd — cite it, don't re-derive it
The token set, colors, and contrast measurementdesign-tokens
Typeface selectiontype-specimen
Final wording of any string that outlives the prototypeux-writing
Structural defect classes in the eventual real buildlayout-rules
How the prototype lands with strangersrespondent-panel
Whether a person can complete a task on itwalkthrough
Fitting the settled structure to an existing design systemdesign-frameworks

A prototype is never reviewed by this skill. It is handed to the reviewers as a first-class artifact and judged there, once, by the skill that owns each rule.

Conflict precedence

The user's explicit words > this ruleset > the project's existing system > personal taste. If the project already has screens the prototype contradicts, flag the conflict; don't silently redesign the product.

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 Prototype AI skill do?

Make an idea lookable and clickable at the cheapest fidelity that answers its one open question — an ASCII sketch, a hand-drawn storyboard of moves, an SVG click-dummy with hotspots linking screens, or a self-contained HTML file. Use when the user wants to see or try an idea before committing to structure, tokens, or copy. Triggers on prototype, wireframe, mockup, click-dummy, sketch the screens, storyboard, hand-drawn sketch, sketchy wireframe, "draw the flow", "what would this look like", "mock this up", "show me the flow", "прототип", "макет".

Why use Prototype on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/glebis/humane-agentic-design/tree/main/humane/skills/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 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 Prototype?

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

Is the Prototype AI skill free?

Yes. It is published on GitHub by glebis 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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