SaaS Admin Panel Dashboard Build Spec
Design a full internal Admin Dashboard for [PRODUCT_NAME] used by [ADMIN_ROLE: support | ops | super-admin]. --- π― CONTEXT Admin tasks: [USER_MANAGEMENT | BILLING_OVERRIDE | CONTENT_MODERATION | SYSTEM_LOGS β pick all that apply] Scale: [~100 | ~10K | ~1M] records β affects table patterns Auth: [RBAC roles list] --- π INFORMATION ARCHITECTURE Sidebar sections: 1. Overview β system health, signups today, errors, MRR snapshot 2. Users β searchable table, impersonate, suspend, role edit 3. [WORKSPACE | ORG] management 4. Billing β subscriptions, refunds (read-only or action?) 5. Content / Assets β if applicable 6. Audit log β immutable event stream 7. Settings β feature flags, email templates Each section needs: page header, breadcrumbs, primary action button, filters, table or detail drawer pattern. --- π¨ VISUAL DIRECTION Utilitarian, high-density, accessible. Light mode default [#FAFAFA base]. Accent [BLUE | SLATE] for actions only. Typography: [Inter acceptable here for admin] OR [Geist] for modern feel. Show danger actions in [RED] with confirm modals spec. --- π§© CRITICAL UX PATTERNS - User detail: slide-over drawer with tabs (Profile, Activity, Billing, Notes) - Bulk select + bulk action bar - Toast notifications for mutations - Optimistic UI rules: when allowed vs blocked - Permission gates: hide vs disable vs redirect --- βοΈ IMPLEMENTATION Stack: [NEXT.JS + SHADCN | REACT ADMIN | CUSTOM] Deliver: route map, component list, Prisma/schema entities referenced, API endpoints table (method, path, purpose) --- β Deliver wireframes in text, all microcopy, error messages, and empty states. No lorem ipsum.
π Example Output / Preview
Prompt Metadata
Primary Use Cases:
- β’Legacy code modernization & technical refactoring
- β’Full-stack layout generation & component structuring
- β’CI/CD workflow automation & unit/E2E testing suites
Associated Tags:
π‘ Pro Tips & Advice
1. Use bracketed items: Be sure to fill out all [PLACEHOLDER] elements with specific details before sending the prompt to the AI model.
2. Adjust temperature: For creative tasks, set AI temperature higher (e.g., 0.8), or lower (e.g., 0.2) for strict coding/technical tasks.
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