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arn-spark-static-prototype-teams

This skill should be used when the user says "static prototype teams", "arn static prototype teams", "team static prototype", "debate static prototype", "collaborative visual review", "static prototype with debate", "team-based visual review", "visual debate", "review visuals as a team", or wants to create a static component showcase and validate it through iterative expert debate cycles where pro

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Atualizado há 3 meses

Ver no GitHub ↗ Licença: MIT

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/plugin marketplace add AppsVortex/arness

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Arness Static Prototype Teams

Create a static component showcase and validate it through iterative build-review cycles with expert debate, aided by the arn-spark-prototype-builder agent (in showcase mode) for rendering, the arn-spark-style-capture agent for screenshots, arn-spark-product-strategist and arn-spark-ux-specialist (greenfield agents in this plugin) for debate-based expert review, and the arn-spark-ux-judge agent for an independent final verdict. This is a conversational skill that runs in normal conversation (NOT plan mode).

This is an alternative to /arn-spark-static-prototype (independent sequential review with mechanical lower-of-two scoring). Use this when the project has enough visual complexity that expert debate adds value -- nuanced style decisions, multiple visual grounding assets, components where strategist and UX perspectives genuinely differ. For simpler projects or lower token budgets, use /arn-spark-static-prototype instead.

The primary artifacts are versioned showcase pages with component renders, debate review reports with per-criterion scores and debate findings, and a final report documenting the complete validation and debate history. All output is versioned so the user can compare evolution across cycles.

This skill covers visual fidelity validation: do the components look correct according to the style brief? It does not cover interactive behavior -- that is /arn-spark-clickable-prototype's job.

Prerequisites

The following artifacts inform the validation. Check in order:

Determine the prototypes output directory:

  1. Read the project's CLAUDE.md and check for a ## Arness section
  2. If found, extract the configured Prototypes directory path -- this is the source of truth
  3. If no ## Arness section exists or Arness Spark fields are missing, inform the user: "Arness Spark is not configured for this project yet. Run /arn-brainstorming to get started — it will set everything up automatically." Do not proceed without it.
  4. If the directory does not exist, create it
All references to prototypes/ in this skill refer to the configured prototypes directory determined above.

Style brief (strongly recommended):

  1. Read the project's CLAUDE.md for a ## Arness section. If found, check the configured Vision directory for style-brief.md
  2. If no ## Arness section found, check .arness/vision/style-brief.md at the project root

Product concept (recommended):

  1. Check the configured Vision directory for product-concept.md
  2. If no ## Arness section found, check .arness/vision/product-concept.md at the project root

Architecture vision (for framework context):

  1. Check the configured Vision directory for architecture-vision.md
  2. If no ## Arness section found, check .arness/vision/architecture-vision.md at the project root

Visual grounding assets (recommended):

  1. Read the ## Arness section for the Visual grounding directory path
  2. Check for assets in [visual-grounding]/references/, [visual-grounding]/designs/, [visual-grounding]/brand/
  3. Also check the style brief's Visual Grounding section for asset paths and categories

If found: visual grounding assets will be provided to expert reviewers and the judge alongside showcase screenshots for comparison.

Fresh design assets (optional):

  1. Read the ## Arness section for Figma and Canva fields
  2. If either is yes AND the visual grounding directory already has assets in designs/ or brand/:

Ask (using AskUserQuestion):

> Design assets exist from style exploration. Would you like to pull fresh versions from [Figma/Canva] before starting validation? > 1. Yes — Pull fresh design assets > 2. No — Use existing assets on disk

  • If yes: ask the user to specify which assets to fetch (Figma file URL, page, or frame names / Canva design URL). Use the corresponding MCP to fetch and save to [visual-grounding]/designs/ or [visual-grounding]/brand/. Show a summary of what was downloaded or replaced.
  • If no: proceed with existing assets on disk.
  • If either is yes but NO existing design assets found in designs/ or brand/:

Ask (using AskUserQuestion):

> No design mockups found yet. Would you like to pull design assets from [Figma/Canva]? > 1. Yes — Pull design assets now > 2. No — Proceed without design mockups

  • If yes: same flow as above.
  • If no: proceed without design mockups.
  • If neither flag is yes or flags are missing: skip silently.

If a style brief is found: Use it for visual validation criteria.

If no style brief is found: Inform the user: "No style brief found. I can create a component showcase with default styling, but visual validation is more meaningful with a style brief. Consider running /arn-spark-style-explore first." Proceed if the user wants to continue -- criteria will focus on component quality and layout rather than style fidelity.

Project scaffold: The project must be scaffolded with the UI framework and component library installed. Check the project's dependency configuration. If not scaffolded, inform the user: "The project needs to be scaffolded before building a component showcase. Run /arn-spark-scaffold first."

Agent Teams (strongly recommended): This skill works best with Agent Teams enabled for parallel expert debate. Agent Teams availability is verified in Step 1 before any work begins. If not enabled, the skill falls back to sequential debate mode (or suggests /arn-spark-static-prototype for the non-debate alternative).

Workflow

Step 1: Check Agent Teams Availability

This is the FIRST step -- before any prototype work begins.

Run via Bash: echo $CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS

Display the result clearly to the user. This is critical because Agent Teams sometimes does not activate even when the user expects it.

If the variable is "1":

"Agent Teams: ENABLED (environment variable CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS = 1)

This skill will use Agent Teams for parallel expert debate. Both experts will score in parallel (Phase 1) and cross-review each other's findings in parallel (Phase 2).

Confirm to proceed, or type 'skip' to use /arn-spark-static-prototype instead (non-debate review, lower token cost)."

Wait for user confirmation before proceeding.

If the variable is NOT "1" (empty, unset, or any other value):

"Agent Teams: NOT ENABLED (environment variable CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS = [actual value or 'unset'])

This skill works without Agent Teams using sequential debate (I will pass feedback between experts manually), but parallel debate is faster and produces identical results.

To enable Agent Teams:

  • Add to ~/.claude/settings.json under "env":

``json "CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1" ``

  • Or set the environment variable before running Claude Code:

``bash CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 claude ``

  • Then restart this Claude Code session (the variable must be set before the session starts).

Ask (using AskUserQuestion):

"What would you like to do?"

Options:

  1. Continue with sequential debate — Same debate quality, slower execution (3 sequential expert invocations per debate round instead of 2 parallel)
  2. Use /arn-spark-static-prototype instead — Non-debate review (mechanical lower-of-two scoring, lower token cost)
  3. Enable Agent Teams and restart — Set the env var, restart Claude Code, then re-run this skill"

Wait for user response.

Record the execution mode: "agent_teams" if the value is "1", otherwise "sequential".

Step 2: Detect Resume or Fresh Start

Check for existing versioned output:

  1. Look for prototypes/static/v*/ directories at the project root
  2. If versions exist, find the highest version number

If existing versions found:

Ask (using AskUserQuestion):

**"I found existing static

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