AGENT SKILL

prototype

Build tangible, runnable prototypes from design-phase UX variation and UI branch packets — static HTML/CSS for UI projects, runnable scripts for CLI, endpoint stubs for API, or minimal configs for infra

适用职业设计师
使用场景前端开发
License 许可
MIT
最近更新
2026-11-10
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01 前言 Front Matter

name
prototype
type
execution
version
v0.14
description
Build tangible, runnable prototypes from design-phase UX variation and UI branch packets — static HTML/CSS for UI projects, runnable scripts for CLI, endpoint stubs for API, or minimal configs for infra
visual_tier
prototype
argument-hint
[optional: topic, --variant N]

03 SKILL.md 正文

Prototype

Invoke as /prototype.

Build tangible, runnable prototypes before production spec work begins. Create the first concrete artifact users can interact with, grounded in research and UX variation planning. Prototypes are cheap, disposable, and designed for evaluation — not production readiness. The goal is to give humans something to click, run, or curl so they can form opinions before committing to a direction.

Gate

Before proceeding, verify the following files exist:

  • At least one design/ux-variations-*.md file or product-path-scoped equivalent.
  • At least one design/ui-*.md file or product-path-scoped equivalent (e.g., design/ui-[topic].md, design/ui-layout-variations-[topic].md, or design/ui-requirements-[topic].md).

Also read design/user-flow-*.md and design/**/flow-tree-*.yaml when present as upstream screen-ordering, task-sequencing, branch-state, and approval-state signals. They are preferred evidence, not hard prerequisites for this gate.

If either is missing, halt with a clear message:

Prototyping requires UX variation planning and UI specification. Missing prerequisites:

  • design/ux-variations-*.md — run /ux-variations to create variation concepts.
  • design/ui-*.md — run /ui-interview to define the interface specification.

Do not proceed past this gate until both prerequisites exist.

Process

0. Product-Path Scope Resolution

Resolve research scope by product path before using code or app structure as a hint:

  1. If $ARGUMENTS names a non-archived research/{slug}/ directory or a product-path ID whose scope_path points there, use that path. Treat {slug} as the product/app name, not the ICP, audience, or segment label.
  2. If $ARGUMENTS names only research/_archive/{slug}/ or a manifest entry with status: archived or legacy status: abandoned, stop and warn that the path is archived; do not write or update scoped outputs there.
  3. Read research/.progress.yaml when present. Normalize legacy active_path to active_paths on read and write back active_paths on manifest updates. Treat legacy abandoned as archived; exclude archived, abandoned, deferred, revisit_candidate, promoted, and any scope_path under research/_archive/ from active target selection.
  4. If active product paths exist in the manifest, use those paths. If multiple active paths exist, ask which one to target unless this skill explicitly supports cross-path output.
  5. If no active manifest target exists, list non-archived product directories under research/, excluding research/_archive/ and dot directories. Auto-select only when exactly one exists; ask when multiple exist.
  6. If no product directories exist, use flat research/ single-product mode.
  7. Detect monorepo/app/package structure only as a secondary hint. Suggest creating a missing research/{slug}/ product path when code clearly exposes an app, but do not require code or monorepo detection before using research/{slug}/.

When product path {slug} is active, read research under research/{slug}/, read pre-prototype design artifacts under design/{slug}/, write prototype output under prototypes/{topic}/, and treat top-level research/*.md and design/*.md files as flat-mode documents or cross-path summaries.

1. Resolve context

  • Read .agents/project.json if it exists. Extract project_type for dispatch decisions.
  • Read research documents when present:
    • research/idea-brief.md — assumptions to test, core value proposition, and hypothesis framing.
    • research/icp.md — ideal customer profile; informs copy density, terminology, and information hierarchy.
    • research/competitive-analysis.md — differentiation points the prototype should highlight.
    • research/journey-map.md — screen flow ordering, entry points, and task sequencing.
  • Read variation plans: design/ux-variations-[topic].md or product-path-scoped equivalents for each relevant topic.
  • Read user-flow maps: design/user-flow-[topic].md and design/**/flow-tree-*.yaml for screen ordering, entry points, branches, decision points, required states, failure/recovery paths, handoffs, branch approval state, and low-fidelity wireframe notes when present.
  • Read per-variation UI branch packets: design/ui-[topic].md, design/ui-layout-variations-[topic].md, and design/ui-requirements-[topic].md when present.
  • If an argument is provided, use it as the topic filter. Otherwise, identify the topic from available design artifacts.

2. Research integration

Before building, extract actionable signals from research:

  • ICP (research/icp.md): Determine copy density (expert vs. novice), terminology choices, information hierarchy, and default density (compact vs. spacious). The prototype should feel like it was built for the target user, not a generic audience.
  • Journey map (research/journey-map.md): Derive screen flow ordering. The prototype's navigation and page sequence should follow the user's natural task progression, not an arbitrary menu order.
  • User-flow map (design/user-flow-[topic].md and design/**/flow-tree-*.yaml): Derive concrete screen order, route inventory, branches, required states, failure/recovery behavior, low-fidelity wireframe structure, and branch approval state. The prototype should preserve the approved task sequence unless a variation plan explicitly changes it.
  • Competitive analysis (research/competitive-analysis.md): Identify differentiation points the prototype must highlight. If the product's thesis is "faster than X" or "simpler than Y," the prototype should make that advantage viscerally obvious.
  • Idea brief (research/idea-brief.md): Surface assumptions the prototype is designed to test. Each prototype variation should help validate or invalidate at least one idea-brief assumption.

Document which research signals influenced which prototype decisions in a brief ## Research Integration section at the top of the hub page.

3. Project type dispatch

Determine the project type from .agents/project.json project_type field. If the field is absent, infer from repository signals (package.json scripts, Dockerfile presence, CLI entry points, route files, etc.). Dispatch to one of the following modes:

UI mode (business-app, or default when no project_type)

Build static HTML/CSS prototypes for each variation:

  • One self-contained HTML file per variation at prototypes/{topic}/variation-{N}/index.html.
  • Inline CSS and minimal inline JS (no build tools, no bundler, no framework dependencies).
  • Fake but realistic data — use plausible names, dates, amounts, and content that matches the ICP.
  • Clickable navigation between pages/views within the variation. Use anchor links, hash routing, or multiple HTML files as appropriate.
  • Responsive layout when the UI spec defines responsive behavior.
  • Visual states: show default, empty, loading (static representation), and error states where the spec defines them.
  • Do not use CDN-hosted frameworks or libraries. The prototype must work offline from a file:// URL.
  • Include a brief <!-- Variation N: [Name] — [Thesis] --> comment at the top of each HTML file.

CLI mode (devtool with CLI focus)

Build runnable script prototypes for each variation:

  • One executable script per variation at prototypes/{topic}/variation-{N}/demo.sh (or .py, .js, etc., matching the project's primary language).
  • Include fixture data files alongside the script.
  • Demonstrate one core workflow end-to-end: the user runs a single command (or short sequence) and sees realistic output.
  • Include inline comments explaining which variation thesis this demonstrates.
  • Scripts must be runnable with standard tooling (bash, node, python) without additional dependencies.

API mode (devtool with API focus)

Build endpoint stub prototypes for each variation:

  • One lightweight server or mock per variation at prototypes/{topic}/variation-{N}/server.{ext}.
  • Fixture JSON responses for each endpoint.
  • A curl-examples.sh file with annotated curl commands demonstrating the core workflow.
  • Include a brief README in each variation directory explaining the API design thesis.
  • Endpoints return fixture data; no database or persistence required.

Infra mode

Build minimal configuration prototypes for each variation:

  • One docker-compose.yml or equivalent config per variation at prototypes/{topic}/variation-{N}/.
  • Include .env.example, config files, and documentation sufficient to understand the infrastructure concept.
  • Do not require running services; use placeholder images or mock services where possible.
  • Include a brief README explaining the infrastructure thesis and what a user would observe if they ran it.

4. Scope rule (non-UI modes)

For CLI, API, and Infra modes, build exactly one core workflow demo with fixture data per variation. Do not attempt full API coverage, complete CLI help systems, or production-ready infrastructure. The prototype exists to make the variation thesis tangible, not to implement the product.

5. Build each variation

For each variation defined in design/ux-variations-[topic].md:

  1. Read the variation's thesis, target user, layout/flow model, and prototype scope from the spec.
  2. Read the corresponding UI branch details from design/ui-[topic].md or design/ui-layout-variations-[topic].md.
  3. Build the prototype artifact in prototypes/{topic}/variation-{N}/.
  4. Name the directory using the variation number from the spec (1-indexed).
  5. Ensure the prototype is immediately usable: open the HTML file, run the script, curl the endpoint, or read the config.

6. Build the hub page

Create a hub page at prototypes/{topic}/index.html that:

  • Lists every variation with its name, thesis, and a direct link to the variation's entry point.
  • Includes the research integration summary (which research signals drove which decisions).
  • Provides brief instructions for evaluating each variation.
  • For UI mode: links open the variation's index.html in the same browser.
  • For CLI/API/Infra modes: the hub page is a simple HTML document with copy-pasteable commands to run each variation.
  • After writing or updating the hub page, attempt to open prototypes/{topic}/index.html in the browser and report whether the browser open succeeded or was blocked. A blocked browser open does not make the prototype fail when the files were written correctly.

7. --variant N flag

When the user provides --variant N (or says "rebuild variation N", "only variation N", etc.):

  • Build or rebuild only variation N, preserving all other existing variations and the hub page.
  • Update the hub page to reflect any changes to the rebuilt variation.
  • Do not delete or modify other variation directories.

Output

The skill produces the following file structure:

prototypes/{topic}/
  index.html                    # Hub page listing all variations
  variation-1/
    index.html (or demo.sh, server.js, docker-compose.yml)
    [supporting files: fixtures, styles, curl-examples, README]
  variation-2/
    index.html (or demo.sh, server.js, docker-compose.yml)
    [supporting files]
  variation-N/
    ...

Next Step

After prototypes are built, recommend:

Recommended next command: /uat --variant-evaluation (check .agents/project.json.enabled_packs for product-testing — if product-testing is not enabled, recommend npx skillpacks install product-testing from the project shell, first)

The user should interact with each prototype variation hands-on before consolidating. UAT variant evaluation provides a structured comparison framework to capture evidence for each variation's strengths, friction points, and rejection signals.

Constraints

  • Do not introduce build tools, bundlers, package managers, or framework dependencies into prototypes. Prototypes must be immediately usable without installation steps.
  • Do not connect to real databases, APIs, or external services. All data must be fixture/fake data.
  • Do not build production-quality code. Prototypes are disposable artifacts for evaluation, not starting points for implementation.
  • Do not skip variations. Build all variations defined in the spec unless --variant N is provided.
  • Do not choose a winning variation or recommend consolidation. That is the user's decision after UAT evaluation.
  • Do not modify specs, research documents, or task files. Only create files in the prototypes/ directory.
  • When recommending a skill from another pack, verify the pack is installed via .agents/project.json enabled_packs. If not installed, recommend npx skillpacks install <pack-name> from the project shell, before the target skill.

Alignment Page

When this skill produces durable deliverables (research, specs, plans, reports, prototypes, or any document output), build a full-depth HTML alignment page following ALIGNMENT-PAGE.md in this skill's directory. Output: alignment/prototype-{topic}.html.

Prototype files may be created before the alignment page because the review needs runnable artifacts. After building or updating prototype files, build and attempt to open alignment/prototype-{topic}.html before downstream routing, UAT handoff, consolidation, spec updates, research updates, or task/roadmap changes.

Default Shipping Contract

Follow the shared shipping contract convention in CLAUDE.md.

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