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Prototype

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Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.

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  • Added September 3, 2026
ai-agentspythongodatabasebackend

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  • cli

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Scanned September 20, 2026

npx -y skills add toverux/cantrips --skill prototype --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: prototype
description: Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.
version: 1.2.2
source: mattpocock/skills@1.2.3 (prototype)
---

# 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](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](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. **Skip the polish.** No tests, no error handling beyond what makes the prototype _runnable_, no abstractions. 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. **Capture it when done.**
   Fold any validated decision into the real code, then capture the prototype itself as a **primary source**: commit it to a throwaway branch, out of main, and annotate the feature's spec — the annotate-spec verb, a dated annotation carrying the branch pointer, the verdict, and the question it settled.
   The loop config translates the storage verbs: it is `docs/agents/cantrips-loop.md`, and when that doc is absent the plugin defaults ([defaults.md](../setup-cantrips-loop/defaults.md)) govern.
   When the feature has no spec, leave the pointer in the commit that folds the decision in.
   The main branch keeps only the validated decision.

Question answered → close with a flow pointer (the message's final paragraph, a blockquote in full italics opening `Next:` — or `Next steps:` over one bullet per pointer — each pointer naming its skill the way this skill was itself invoked, same prefix and namespace, and ending in a one-clause rationale after an em dash): feed the verdict back into the decision that spawned the prototype — the `/grilling` interview or the spec being written.

Files in this skill

  • LOGIC.md5.8 KB
  • SKILL.md3.5 KB
  • UI.md6.7 KB
  • agents/openai.yaml142 B

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