More screenshots
Works with the AI tools you already use
AI SaaS Website FULL BUILD [Pro Ver]
by Benjamin Lim
Fully automated production-grade AI SaaS builder using Next.js 16, Firebase, and Stripe.
Secure checkout via Stripe
See it in action
You say
Build an AI SaaS called 'Visionary' using a dark theme with neon purple accents. I need the playground, subscriptions, and an admin panel. My domain is visionary-ai.app.
Your agent does
I have initialized the Visionary project. Next.js 16 is scaffolded, Firebase projects are created, and Tailwind v4 theme tokens are set to your neon purple branding. I am now provisioning Stripe webhooks and the streaming LLM engine. Ready to set secrets?
What you get
About this skill
The problem
Building a production-ready AI SaaS requires manually stitching together auth, streaming LLM interfaces, Stripe subscriptions, and secure deployments. Skipping security audits or rate limiting often leads to broken builds or high-cost API leaks.
What it does
- Scaffolds a complete Next.js 16 environment with Firebase Auth, Firestore, and TailwindCSS v4.
- Deploys a multi-model streaming LLM playground with tiered access (Free/Pro/Dev).
- Integrates Stripe Checkout and webhooks for automated subscription management.
- Sets up observability with PostHog analytics, Sentry error tracking, and automated email notifications via Nodemailer.
- Executes a 40-point QA and security audit including CSP headers, rate limiting, and Firestore rules.
Frameworks & tools
Next.js 16, TypeScript, Firebase (Auth/Firestore/App Hosting), Stripe, TailwindCSS v4, shadcn/ui, PostHog, Sentry, and Framer Motion.
Why this beats prompting it yourself
Generic prompts result in stubbed-out files and missing integrations. This skill follows a strict 25-step build order that automates secrets provisioning, infrastructure setup, and a full security audit that most manual prompts overlook.
Use cases
- Launch a white-label AI wrapper with multi-model support and per-user quotas.
- Build a secure internal AI playground for teams with centralized admin controls.
- Ship a production-grade MVP with automated deployment and analytics in one run.
Known limitations
Does not support 3-D runtimes like Three.js or Spline. Requires Firebase and GitHub CLI tools for full automation.
Changelog
- v1.1LatestAug 1, 2026
Added Self-Contained Structure: Merged all architectural patterns from the skeleton directly into the Pro skill so it can run fully independently without referencing the base skill. Playground Guard HOF: Added the withPlaygroundAuth Higher-Order Function pattern to wrap route handlers, centralizing auth, guest-quota, and credit-balance checks into a single middleware. Guest Pool Separation: Explicitly defined the separate 72-hour rolling request pool for unauthenticated guests, decoupled from the credit matrix used by authenticated tiers. Changed Unified Tech Stack: Replaced the generic Sentry/Error tracking entry with the explicit CybrShield pattern requirement for security middleware. Rate Limiting Constants: Replaced magic numbers in rate-limiting routes with named constants (e.g., PLAYGROUND_STREAM_MAX_CONCURRENT, STUDIO_IMAGE_RATE_LIMIT) for maintainability. Stripe & Credits Integration: Updated the subscription matrix documentation to accurately reflect that all authenticated tiers (free, pro, developer) have access to all models, and the Stripe plan only dictates the monthly credit allowance (1k / 10k / 25k). PostHog Pitfall: Added a critical fix to the pitfalls table regarding calling posthog.shutdown() in serverless handlers to ensure events are flushed.
[I Will Update This Skill Progressively Along with my Website (cybrdeck.com) its a live example. Pay Once, Stay Updated For LIFE]
- v1.0Aug 1, 2026
Initial release
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
Reviews
No reviews yet
Be one of the first to try it. Every listed skill passes our trust checks below.
Security scanned
Passed our 8-point scan before listing
Fresh listing
Recently published to Agensi
30-day refund
Not a fit? Get your money back
Trust & safety
Security scanned
Verified clean 15 days ago
- 30-day refund guarantee
- One-time purchase, yours forever
- Secure checkout via Stripe
Frequently Asked Questions
Popular in AI Agents & LLM Ops
agentic-workflow
A risk-aware, evidence-based engineering lifecycle protocol for robust agentic task execution and safety.
designing-hybrid-context-layers
Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.

prompt-engineer
Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.
codex-grade-coding
Turn your AI agent into a senior engineer with strict task classification and verification-driven coding protocols.