ag-referencia-redesign-workflow

ag-referencia-redesign-workflow is a skill for Claude Code, Codex from andregusman-raiz/a-gusman-claude. It costs 52 tokens per session (2,475 once invoked), scanned A, original, MIT.

A workflow for redesigning an interface from a screenshot or website URL, then producing a design-library mapping and generation prompt.

In plain words
What is it for?
Use it when redesigning a page from a screenshot, refreshing an older app, or adapting a competitor's website style.
Why use it?
It turns a visual reference into concrete design decisions that can guide a new interface while keeping the result aligned with an existing design system.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument; mentions Claude Code.

Good fit Use it when redesigning a page from a screenshot, refreshing an older app, or adapting a competitor's website style.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/andregusman-raiz/a-gusman-claude/ag-referencia-redesign-workflow
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add andregusman-raiz/a-gusman-claude --skill ag-referencia-redesign-workflow
Clone the repo
git clone --depth 1 https://github.com/andregusman-raiz/a-gusman-claude

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ag-referencia-redesign-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-referencia-redesign-workflow/github.svg)](https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-referencia-redesign-workflow)
Your own site
<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-referencia-redesign-workflow"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-referencia-redesign-workflow/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ag-referencia-redesign-workflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-referencia-redesign-workflow"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-referencia-redesign-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,475 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.02475
Opus 5 $0.00026 $0.01238
Sonnet 5 $0.00010 $0.00495
Haiku 4.5 $0.00005 $0.00248

Measured 9d ago against content hash 940fe5264219, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ag-referencia-redesign-workflow scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/ag-referencia-redesign-workflow/SKILL.md · 271 lines

How it starts

The opening of the file, as written. The whole thing — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Redesign Workflow — Screenshot → Variante + Preset + Prompt

Diferencial real vs GlowUp UI: inputar screenshot/URL e receber mapeamento preciso para nossa biblioteca interna (86 variantes) + prompt pronto para regerar. Complementa /ag-referencia-design-presentation (taxonomia) e /ag-referencia-prompt-guide (estrutura de prompt).


Quando usar

  • Cliente/stakeholder manda screenshot pedindo "quero isso no nosso app"
  • Cliente manda URL concorrente pedindo redesign competitivo
  • App rAIz legado precisa refresh — captura tela atual, recomenda variante moderna
  • Dev não sabe qual variante escolher — dá input visual, recebe sugestão

Quando NÃO usar

  • Componente isolado (botão, input) — usar /presentation direto por navegação
  • Feature com business logic complexa — UI só cobre 20% do trabalho, o resto é domínio
  • Projeto sem tokens rAIz — workflow pressupõe output adaptado ao design-system da empresa

Entradas aceitas

Tipo Como fornecer Ferramenta de captura
URL pública "redesign https://example.com" Chrome DevTools MCP navigate_page + take_screenshot
URL localhost "redesign http://localhost:3011/x" idem
Screenshot upload colar PNG/JPG na conversa Claude multimodal direto (sem captura)
Path local "redesign ~/screenshots/app.png" Read tool direto
Figma URL "redesign figma.com/file/..." figma-implement-design skill primeiro

Pipeline de 5 passos

1. Captura

Se URL: Chrome DevTools MCP

mcp__plugin_chrome-devtools-mcp_chrome-devtools__navigate_page({ url: "..." })
mcp__plugin_chrome-devtools-mcp_chrome-devtools__take_screenshot({ fullPage: true })

Se screenshot/upload: já está disponível, pular captura.

Salvar em ~/Claude/docs/diagnosticos/redesign-<timestamp>/input.png para auditoria.

2. Análise visual (Claude multimodal)

Enviar screenshot com prompt estruturado de classificação:

Analise este screenshot e classifique:

1. Categoria dominante (escolha 1-2 de):
   - 01 Auth Forms (login, signup)
   - 02 Pricing
   - 03 Features/Bento
   - 04 Hero Sections
   - 05 CTA Banners
   - 06 Stats / Social Proof
   - 07 Nav Bars
   - 08 Testimonials
   - 09 Footer
   - 10 FAQ
   - 11 Onboarding (checklist, tour)
   - 12 Blog / Content
   - 13 Contact
   - 14 States (404, loading, empty)

2. Estilo estético percebido (escolha 1):
   - raiz-default: laranja + teal, rounded-xl, shadows sutis, Inter
   - minimalist: sem sombras, mono slate, tipografia fina
   - brutalist: rounded-none, borders pretas, shadows offset duros
   - glass: backdrop-blur, semi-transparent, glow
   - dark-mono: fundo quase-preto, zinc scale, branco puro como acento
   - soft-saas: pastéis lavanda/pêssego, rounded-3xl, shadows difusas
   - neobrutalism: rounded-md, shadows offset coloridas, pastéis saturados

3. Estrutura geométrica em 1 frase (ex: "split 50/50 form+hero", "3-tier cards", "bento 4-tile").

4. Tom/voz percebido (ex: "corporate B2B", "startup playful", "editorial", "gaming").

Output JSON:
{
  "category": "04 Hero Sections",
  "subtype_hint": "04b-split-text-image OR 04c-animated-gradient",
  "style": "raiz-default",
  "structure": "split 50/50 texto+screenshot",
  "voice": "SaaS corporate B2B",
  "confidence": "high|medium|low",
  "notes": "..."
}

Read the full file on GitHub · 271 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 271 lines · 52 tokens per session scan A 940fe5264219

Subscribe to this mod's changes

ag-referencia-redesign-workflow is a skill published in the GitHub repository andregusman-raiz/a-gusman-claude (19 stars, last pushed 4d ago), licensed MIT. It adds 52 tokens to every session and 2,475 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

visual-qa-verification

Automated visual QA with pixel-level diff comparison, iterative fix loop, and cross-browser verification. Uses pixelmatch for programmatic screenshot comparison with region-based analysis. Covers responsive checks, Lighthouse audits, and accessibility validation. Keywords: verify app, visual QA, compare to Figma…

PMDevSolutions/Aurelius · 81 tokens

canva-token-inference

AI-powered design token extraction from Canva screenshots. Uses Claude vision to infer colors, typography, spacing, and effects with confidence scoring. Presents tokens for user confirmation before locking. Keywords: Canva tokens, token inference, design tokens, Canva extraction, AI token detection, color extraction…

PMDevSolutions/Aurelius · 0 tokens

design-token-lock

Extracts exact design values from Figma and writes a lockfile that becomes the single source of truth for colors, typography, spacing, and text content. Generates tailwind.config.ts and tokens.css from the lockfile. Keywords: design tokens, lockfile, Figma variables, token extraction, style drift, Tailwind config…

PMDevSolutions/Aurelius · 0 tokens

export-design-system

Exports generated components + design-tokens.lock.json as a publishable pnpm workspace. Generates a framework-agnostic tokens package and a framework-specific component library (React/Vue/Svelte via Vite library mode, React Native via tsc). Includes Tailwind preset, ThemeProvider, Changesets versioning, and a properly…

PMDevSolutions/Aurelius · 0 tokens

figma-intake

Structured interview that auto-discovers Figma file structure, project context, and asks 3-5 targeted questions to produce a build-spec.json. Entry point for the autonomous build pipeline. Keywords: Figma intake, build spec, project discovery, figma interview, build plan.

PMDevSolutions/Aurelius · 0 tokens

indesign-conversion

Convert an exported Adobe InDesign IDML package or PDF into typed React components, design tokens, and Storybook stories via the @aurelius/pipeline InDesign pipeline. Use when a designer hands you an .idml or .pdf and you need a starting React component set. Keywords: InDesign to React, IDML, PDF to React, indesign…

PMDevSolutions/Aurelius · 0 tokens