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Agent skill

Prototype

by nodetool-ai in nodetool-ai/nodetool

Build a runnable prototype to answer a logic, state, or UI design question.

AGPL-3.0Auto-check passedFrontend & Design

Install Prototype

skills CLI
$ npx skills add nodetool-ai/nodetool --skill prototype -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install nodetool-ai/nodetool prototype --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/nodetool-ai/nodetool.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/prototype .claude/skills/prototype && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
prototype
GitHub stars
554
Token cost
~723 tokens
SKILL.md length
429 words
Files
3
Skills in repo
130
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Build a runnable prototype to answer a logic, state, or UI design question.

  • Works in 6 steps: Throwaway from day one, and clearly… → Trivial to run. A UI prototype starts… → No persistence by default. State lives… → …
  • Tasks that involve Prototyping
  • SKILL.md covers Pick a branch and Rules that apply to both
  • Calls pnpm, python and bun

What it does

Prototype is an agent skill from nodetool-ai/nodetool. Build a runnable prototype to answer a logic, state, or UI design question. Keep production integration outside the task unless requested.

Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `LOGIC.md` and `UI.md`).

It sits in Frontend & Design, covering Prototyping and UI design. The repository describes itself as: Agent-first Creative Workspace. The licence is AGPL-3.0.

When your agent uses it

  • Tasks that involve Prototyping
  • Tasks that involve UI design

Example prompts

  • “/prototype”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Throwaway from day one, and clearly marked as such. Locate the prototype code close to where it will actually be used (next to the module…
  2. Trivial to run. A UI prototype starts from one command in the project's task runner — pnpm , python , bun , etc. A logic demo is a single…
  3. No persistence by default. State lives in memory. Persistence is the thing the prototype is checking, not something it should depend on…
  4. Keep verification proportional. Exercise the scenario the prototype is meant to answer. Complete repository-mandated checks for code…
  5. Surface the state. After every action (logic) or on every variant switch (UI), print or render the full relevant state so the user can see…
  6. Deliver the answer. Provide the runnable artifact, the question it tests,

What it can do on your machine

Read from SKILL.md and the folder at commit f99c652. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pnpm
    • python
    • bun

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pnpm, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Prototype loads about 723 tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 429 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~723

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from nodetool-ai/nodetool at commit f99c652, republished under its AGPL-3.0 licence (© nodetool-ai). 429 words, ~723 tokens.

Download SKILL.mdSave it as .claude/skills/prototype/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
prototype
description
Build a runnable prototype to answer a logic, state, or UI design question. Keep production integration outside the task unless requested.

Prototype

A prototype is throwaway code that answers a question. The question decides the shape.

Pick a branch

Identify which question is being answered — from the user's prompt, the surrounding code, or by asking if the user is around:

  • "Does this logic / state model feel right?" → LOGIC.md. Build a single shareable HTML file — free-play buttons plus tabbed guided walkthroughs — that pushes the state machine through cases that are hard to reason about on paper, and that a non-developer can drive.
  • "What should this look like?" → UI.md. Generate several radically different UI variations on a single route, switchable via a URL search param and a floating bottom bar.

The two branches produce very different artifacts — getting this wrong wastes the whole prototype. If the question is genuinely ambiguous and the user isn't reachable, default to whichever branch better matches the surrounding code (a backend module → logic; a page or component → UI) and state the assumption at the top of the prototype.

Rules that apply to both

  1. Throwaway from day one, and clearly marked as such. Locate the prototype code close to where it will actually be used (next to the module or page it's prototyping for) so context is obvious — but name it so a casual reader can see it's a prototype, not production. For throwaway UI routes, obey whatever routing convention the project already uses; don't invent a new top-level structure.
  2. Trivial to run. A UI prototype starts from one command in the project's task runner — pnpm <name>, python <path>, bun <path>, etc. A logic demo is a single HTML file the user double-clicks. Either way, no thinking required to start it.
  3. No persistence by default. State lives in memory. Persistence is the thing the prototype is checking, not something it should depend on. If the question explicitly involves a database, hit a scratch DB or a local file with a clear "PROTOTYPE — wipe me" name.
  4. Keep verification proportional. Exercise the scenario the prototype is meant to answer. Complete repository-mandated checks for code edits, without adding speculative abstractions or exhaustive tests. The point is to learn something fast.
  5. Surface the state. After every action (logic) or on every variant switch (UI), print or render the full relevant state so the user can see what changed.
  6. Deliver the answer. Provide the runnable artifact, the question it tests, and the observed result or decision still needed from the user. Integrate it into production code, commit a branch, or post to an issue only when requested. Preserve the prototype until the user no longer needs it.

© nodetool-ai, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in .agents/skills/prototype of nodetool-ai/nodetool.

  • SKILL.md
  • LOGIC.md
  • UI.md

Open the folder on GitHubat commit f99c652

Compare with similar skills

Prototype next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Prototype compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Prototype this skillnodetool-ai/nodetool554—~723Automated safety check: PassAGPL-3.0
Prototype StrategyOwl-Listener/designer-skills2.9k1 repos~465Automated safety check: PassMIT
LobeHub Interactive Prototypelobehub/lobehub83k—~1.6kAutomated safety check: PassCustom licence
Variate Design VariationsNutlope/variate211—~3.5kAutomated safety check: PassMIT
HTMLplannotator/effective-html3.6k—~1.6kAutomated safety check: PassMIT
HTML Feature Mocksimbue-ai/bouncer400—~677Automated safety check: PassAGPL-3.0

Similar skills

  • Prototype Strategy

    Owl-Listener/designer-skills

    Choose prototype fidelity and method to match the design question and the decision at stake.

    2.9k GitHub starsUsed in 1 repo~465 tokens
    Frontend & DesignAuto-check passed

  • LobeHub Interactive Prototype

    lobehub/lobehub

    Builds single-file interactive HTML prototypes rendered with the real LobeHub UI components and written as production-style React, so they can later be split into files.

    83k GitHub stars~1.6k tokensUpdated today
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  • Variate Design Variations

    Nutlope/variate

    Puts four real design variations of one project file on your localhost behind a small card you flip with the arrow keys, then acts on your verdict.

    211 GitHub stars~3.5k tokensUpdated 1 mo ago
    Frontend & DesignAuto-check passed

  • HTML

    plannotator/effective-html

    Create or redesign self-contained single-file HTML artifacts with a visual direction shaped by the user's brief, project, and subject.

    3.6k GitHub stars~1.6k tokensUpdated 23 days ago
    Frontend & DesignAuto-check passed

  • HTML Feature Mocks

    imbue-ai/bouncer

    Explores a feature idea through HTML mocks that match the project's existing UI, keeping every earlier version and logging each requested tweak in a context file.

    400 GitHub stars~677 tokensUpdated yesterday
    Frontend & DesignAuto-check passed

  • Prototype to Figma

    alima-max/prototype-to-figma-skill

    Converts a working code prototype into a structured Figma file with one frame per interaction state, mapped to your design system and annotated with transitions.

    140 GitHub stars~7.8k tokensUpdated 2 mo ago
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Categories

Questions about Prototype

What does Prototype do?

Build a runnable prototype to answer a logic, state, or UI design question. Prototype is an agent skill from nodetool-ai/nodetool. Build a runnable prototype to answer a logic, state, or UI design question.

When should I use Prototype?

Prototype fits situations like: tasks that involve Prototyping; tasks that involve UI design.

How do I install Prototype in Claude Code?

Run `npx skills add nodetool-ai/nodetool --skill prototype -a claude-code`. Or copy the skill folder (.agents/skills/prototype in nodetool-ai/nodetool) into .claude/skills/prototype in your project. Claude Code loads it when a task matches its description.

How do I install Prototype in Codex?

Run `npx skills add nodetool-ai/nodetool --skill prototype -a codex`. Or copy the skill folder (.agents/skills/prototype in nodetool-ai/nodetool) into .agents/skills/prototype in your project. Codex loads it when a task matches its description.

Can I use Prototype in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nodetool-ai/nodetool --skill prototype -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prototype, .gemini/skills/prototype, .github/skills/prototype and .opencode/skills/prototype in your project.

What does Prototype need to run?

Going by SKILL.md and its folder, Prototype needs the command-line tools its instructions call (pnpm, python and bun). Our summary lists: Python 3.

Does Prototype access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Prototype safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Prototype use?

Prototype is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Prototype use?

About 723 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Prototype?

Skills that share tags, products or a category with Prototype: Prototype Strategy (Owl-Listener/designer-skills, 2.9k stars), LobeHub Interactive Prototype (lobehub/lobehub, 83k stars), Variate Design Variations (Nutlope/variate, 211 stars) and HTML (plannotator/effective-html, 3.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prototype?

nodetool-ai (a GitHub organization) maintains it in nodetool-ai/nodetool, which has 554 GitHub stars. The repository holds 130 skills in this directory. The repository was last updated on October 7, 2026.

Source: nodetool-ai/nodetool on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.