create-prototype

SkillDev tools

Create Prototype

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the create-prototype skill

What this skill tells your AI

The instructions your AI receives, as published by markmhendrickson/neotoma in .claude/skills/create-prototype/SKILL.md and read by ahel’s review.


name: create-prototype description: Create prototype per foundation command. triggers:

  • create prototype
  • /create_prototype
  • create-prototype

Create Prototype

Create fully functional client-side prototype for Feature Unit {{input:feature_id}}.

Follow foundation/development/feature_unit_workflow.md Step 1 (Prototype Creation). Configuration is read from foundation-config.yaml.

This happens after Checkpoint 0 (spec creation) and before Checkpoint 1 (prototype review).

Implements prototype creation after Checkpoint 0 (spec) is complete. Creates a fully interactive, client-side prototype with mocked APIs.

Trigger

  • Spec created with UI requirements (Checkpoint 0 complete, UI changes present) OR
  • No UI changes required (skip prototype)

Tasks

  1. Load configuration:

    • Read foundation-config.yaml to get feature unit settings
    • Determine directory structure and prototype paths
  2. Load spec and manifest:

    • {configured_directory}/in_progress/{{input:feature_id}}/{{input:feature_id}}_spec.md (or completed/ if completed)
    • {configured_directory}/in_progress/{{input:feature_id}}/manifest.yaml (or completed/ if completed)
  3. Check if UI changes present:

    • Review spec and manifest for UI components
    • Verify UX Requirements section exists in spec (from Checkpoint 0)
    • If no UI changes → skip to implementation
    • If UI changes present → proceed
  4. Create prototype:

    • Use configured prototype directory structure (or default: frontend/src/prototype/)
    • Create prototype component(s): {prototype_dir}/components/{{input:feature_id}}_*.tsx
    • Create mock API fixtures: {prototype_dir}/fixtures/{{input:feature_id}}_*.ts
    • Integrate into prototype main file
  5. Prototype requirements:

    • Fully interactive (click, type, navigate)
    • All API calls mocked (no real backend)
    • All UI states testable (empty, error, loading, success)
    • Accessible (keyboard nav, ARIA if applicable)
    • Uses existing design system components (if available)
    • Documented mock API responses
  6. Make prototype runnable:

    • Ensure prototype can be run (e.g., npm run dev:prototype)
    • Document how to run prototype
  7. Output:

    • Prototype location and run command
    • Summary of what prototype demonstrates
    • List of mocked APIs
    • STOP and proceed to Checkpoint 1 (Prototype Review)

User Review Prompt

Present:

  • Prototype location
  • How to run: [command]
  • Summary of prototype features

Ask:

  • "Please review the prototype at [location]. Run with [command]."
  • "Does the prototype meet your requirements? (yes/no)"
  • "Any changes needed? (list changes or 'none')"

If User Requests Changes

  • Update prototype based on feedback
  • Re-run prototype creation
  • Repeat until approved

If Approved

  • Document approval in spec: **Prototype Approved:** YYYY-MM-DD
  • Proceed to implementation (use Run Feature Workflow)

Inputs

  • feature_id (string): The feature identifier

Signals

GitHub stars
32
Forks
3
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
create-prototype
Source
github.com/markmhendrickson/neotoma