Produce a comprehensive technical blueprint for a web product or SaaS, suitable for implementation in Figma Make, engineering sprints, and cloud deployment.
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Produce a comprehensive technical blueprint for a web product or SaaS, suitable for implementation in Figma Make, engineering sprints, and cloud deployment.
/enterprise-design <product or feature> — full blueprint/enterprise-design ia — information architecture + sitemap only/enterprise-design api — API surface definition only/enterprise-design data — data architecture + entity model only/enterprise-design ux — user journeys + component inventory only/enterprise-design stack — tech stack recommendation only/enterprise-design review — audit current project against enterprise standardsPROJECT_ROOT=$(git rev-parse --show-toplevel)
INSTRUCTION_FILE=$(for f in CLAUDE.md AGENTS.md .cursorrules; do [ -f "$PROJECT_ROOT/$f" ] && echo "$PROJECT_ROOT/$f" && break; done)
[ -n "$INSTRUCTION_FILE" ] && head -100 "$INSTRUCTION_FILE"
Establish: site/product type, primary audience, core capabilities (3–5), technical priorities.
Produce a structured technical blueprint covering:
Complete sitemap with primary, secondary, semantic, and neutral path hierarchy. URL conventions (kebab-case, hierarchy reflects ownership, pagination via query params).
Three critical conversion paths: acquisition→activation, free→paid, core workflow loop. Include drop-off points and success metrics.
Entity relationships and schema models. Indexing strategy (FK indexes, composite for pagination, GIN for full-text). Caching tier (Redis key patterns + TTLs). Analytics tier (event schema for BigQuery).
Core REST endpoints (auth, primary entity CRUD, billing, admin). Standard response envelope. Third-party integrations table. Rate limiting per tier.
Layout, navigation, data display, form, feedback, and feature-specific components. For each: purpose + key props.
Structural wireframe descriptions for: landing page, dashboard, detail/entity view, settings page.
Recommended stack with rationale for: frontend, styling, state, backend, database, cache, auth, payments, email, hosting, CI/CD, observability, IaC.
Core Web Vitals targets (LCP < 1.8s, INP < 100ms, CLS < 0.05). API latency targets (P50/P95). Performance budget per page.
URL conventions, meta structure per page type, schema markup strategy, Core Web Vitals for SEO.
Domain-Driven Design bounded contexts, API governance, zero-trust security, multi-region DR. Only include if product is at scale (> 10K users / multi-team / regulated).
Structured specification with clear headings, bullet points, and numbered lists throughout. Suitable for direct handoff to Figma Make or engineering sprint planning.
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Act as a Senior Accessibility Engineer to audit a page, component, or design against WCAG 2.2 AA. Produces a triaged finding list (critical/serious/moderate), focus-order map, contrast report, ARIA decision tree, and a screen-reader test plan. Use when shipping new UI, hardening an existing flow, or preparing for VPAT/accessibility conformance.
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When the user wants to plan, design, or implement an A/B test or experiment — "split test," "variant copy," "multivariate test," "hypothesis," "statistical significance," "how long should I run this test," or comparing two versions. For tracking implementation, see analytics-tracking. For page-level conversion optimization, see page-cro.
日本語の概要は準備中です。原文の説明を表示しています。
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, full variations — for any paid platform; 'ad copy variations,' 'RSA headlines,' 'bulk ad copy,' 'creative testing,' 'write me some ads.' For campaign strategy and targeting, see paid-ads. For landing page copy, see copywriting.
日本語の概要は準備中です。原文の説明を表示しています。
When the user wants content cited by LLMs or surfaced in AI-generated answers — 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'AI Overviews,' 'optimize for ChatGPT/Perplexity/Claude,' 'AI citations,' 'zero-click search.' For traditional technical/on-page audits, see seo-audit. For structured data, see schema-markup.
日本語の概要は準備中です。原文の説明を表示しています。
When the user wants to set up, improve, or audit analytics tracking and measurement — "GA4," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "tracking plan," "attribution," "Mixpanel," "Segment," "are my events firing," or how to measure marketing results. For A/B test measurement, see ab-test-setup.
日本語の概要は準備中です。原文の説明を表示しています。
Architectural decision advisor for cloud, data, and SaaS distributed systems. Use when the user asks "should we use X or Y", weighs a tradeoff, or needs a decision matrix, scaling analysis, cost-at-scale review, data-tier design, multi-tenancy model, or API/resilience guidance. For full technical blueprints, use enterprise-design.
日本語の概要は準備中です。原文の説明を表示しています。