- sabia-core: descoberta de interfaces, controle de modo monitor/canal via iw (ponte até ter nl80211 nativo), captura crua 802.11 via AF_PACKET (sem libpcap), parsing de radiotap e quadros de gerenciamento (beacon/probe/EAPOL), agregação em tabela de APs/ clientes, escrita de .pcap, trilha de auditoria encadeada por hash, auto-atualização via GitHub releases (curl, sem dependências de rede extras) - sabia-cli: `sabia iface`, `sabia scan`, `sabia update`, `sabia audit-verify`, `sabia ui` (servidor local + navegador, protegido por token, mesma filosofia do Guará) - OpenWolf inicializado para memória de projeto entre agentes
27 lines
1.3 KiB
Markdown
27 lines
1.3 KiB
Markdown
---
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description: Screenshot-based design review of the running app via openwolf designqc
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argument-hint: [--url <url>] [--routes <routes>]
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---
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Arguments: $ARGUMENTS
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Evaluate and improve the design/UI of this app:
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1. Run `openwolf designqc` via Bash to capture screenshots (pass through any arguments given above).
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- The command auto-detects a running dev server, or starts one from package.json if needed.
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- Use `--url <url>` only if auto-detection fails.
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- Compressed JPEG screenshots land in `.wolf/designqc-captures/`; full pages are captured as sectioned viewport-height images (top, section2, ..., bottom).
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2. Read the captured screenshots from `.wolf/designqc-captures/` with the Read tool.
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3. Evaluate against modern standards (Shadcn UI, Tailwind, clean React patterns):
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- Spacing and whitespace consistency
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- Typography hierarchy and readability
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- Color contrast and accessibility (WCAG)
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- Visual hierarchy and focal points
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- Component consistency
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- Whether the design looks generic ("white-coded", no personality)
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4. Provide specific, actionable feedback with fix suggestions.
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5. If the user approves, implement the fixes directly in their code.
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6. Re-run `openwolf designqc` to verify the improvement.
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Token awareness: each screenshot costs about 2,500 tokens. For large apps, use `--routes / /specific-page` to limit captures.
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