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Use when brand VISUAL rules have to be created or updated — brand personality, color system, typography, logo usage, imagery and visual tone, component rules, accessibility contrast, standard asset sizes, and file naming. It is the source document every design skill and the Brand Hub reads. Trigger on 'brand guideline', 'brand book', 'style guide', 'brand standards', 'our designs all look different', 'update the brand palette'. Also use when the user has a logo and nothing written down. Not for — how the brand SOUNDS in writing, see `35-brand-voice-global`; positioning and the message, see `58-positioning-global`; briefing one asset, see `42-image-brief-global`; scoring a design, see `47-design-review-global`.

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Use when a designer needs hands-on production direction inside a tool — Canva, Figma, or Adobe Express: which template to start from, the operating order, element-by-element mapping, grid and spacing, brand kit colors and fonts, export checklist, and the dos and do-nots. Trigger on 'Canva brief', 'Figma brief', 'production direction', 'how do I build this in Canva', 'layout direction for the designer', 'the junior designer needs step by step'. Not for — the creative concept for a static, see `42-image-brief-global`; the concept for a slide sequence, see `43-carousel-brief-global`; the brand rules being applied, see `46-brand-guideline-global`; adapting one master into every size, see `50-asset-resize-global`.

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Use when the user wants a marketing image GENERATED or an image prompt written — personal brand portraits, logos and monograms, campaign key visuals, day-to-day social graphics, editorial art, infographics, web hero mockups, and quote graphics. Reads brand identity from project context, composes an on-brand prompt, generates via gpt-image-2 when an API key exists, otherwise outputs paste-ready prompts for DALL-E 3, MidJourney, Leonardo, or Ideogram. Trigger on 'design an image', 'make me a logo', 'MidJourney prompt', 'key visual for the campaign', 'generate a graphic for this post', 'I need a visual and have no designer'. Not for — briefing a human designer on a static, see `42-image-brief-global`; a slide sequence, see `43-carousel-brief-global`; the brand rules themselves, see `46-brand-guideline-global`; scoring a finished design, see `47-design-review-global`.

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Use when a finished DESIGN needs scoring and feedback — brand consistency, hierarchy plus readability plus accessibility, conversion elements, and platform fit, 10 points each, with per-issue feedback in issue, why, and how-to-fix form and a verdict of approve, minor fix, or redo. Trigger on 'design review', 'review this design', 'score this creative', 'is this design good', 'brand check on this banner', 'can we ship this or not'. Also use when the user just sends an image and asks for thoughts. Not for — reviewing copy and briefs, see `62-marketing-review-global`; writing the brief before production, see `42-image-brief-global`; the brand rules being checked against, see `46-brand-guideline-global`.

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Use when a multi-slide carousel is needed for Instagram, Facebook, or LinkedIn — a narrative arc with the hook on slide one, value through the middle, CTA on the last, headline, body, visual direction, and background per slide, plus an HTML preview to approve the concept before production. Trigger on 'carousel brief', 'make a carousel', 'turn this into slides', 'LinkedIn carousel', 'slide by slide breakdown', 'preview the carousel first'. Not for — a single static image, see `42-image-brief-global`; the caption posted with it, see `37-social-caption-global`; production steps inside Canva or Figma, see `45-design-tool-brief-global`; scoring the finished slides, see `47-design-review-global`.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

YAML output format and approval criteria for platform design reviews. Load when generating review feedback.

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25 real-world system design case studies condensed from Alex Xu's System Design Interview Vol 1 and 2 - requirements, architecture, deep dive insights, key takeaways

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Emotional design and delight patterns for product owners. Load when designing onboarding flows, empty states, first-run experiences, or evaluating the emotional quality of an interface.

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4-step system design framework with back-of-envelope estimation, scaling ladder, and common pitfalls

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Desktop application UI patterns for product owners. Load when designing native or cross-platform desktop applications, writing desktop-specific acceptance criteria, or evaluating panel layouts and keyboard workflows.

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Roadmap concision rules, step decomposition efficiency, AC abstraction guidelines, and step-to-scenario mapping. Load when creating implementation roadmaps.

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Web UI design patterns for product owners. Load when designing web application interfaces, writing web-specific acceptance criteria, or evaluating responsive designs.

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Terminal UI and CLI design patterns for product owners. Load when designing command-line tools, interactive terminal applications, or writing CLI-specific acceptance criteria.

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TLA+ formal verification for design correctness and PBT pipeline integration

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Design taste evaluation framework — DVF primary filter, Apple/Google/Jobs design principles as explicit scoring criteria, weighted decision matrix, and option ranking for the DIVERGE wave

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Advanced architecture stress analysis methodology for designing systems that survive unknown stresses. Load when --residuality flag is used or when designing high-uncertainty, mission-critical systems.

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Teaches agents how to run a timeboxed spike - throwaway code that validates one assumption before DESIGN

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Core UX principles for product owners. Load when evaluating interface designs, writing acceptance criteria with UX requirements, or reviewing wireframes and mockups.

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Evidence collection methods, problem categorization, analysis techniques, and solution design patterns

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Strategic and tactical DDD patterns, bounded context discovery, context mapping, aggregate design rules, and decision frameworks for when to apply DDD

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Naming conventions, API ergonomics, and usability patterns for functional code

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Algebra-driven API design with monoids, semigroups, and interpreters via algebraic equations

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Creates new specialized agents using the 5-phase workflow (ANALYZE > DESIGN > CREATE > VALIDATE > REFINE). Use when building a new AI agent or validating an existing agent specification.

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7 agentic design patterns with decision tree for choosing the right pattern for each agent type

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