Booking System Builder

Build a booking system around how your business actually works.

A salon schedules staff. A studio reserves rooms. A rental business manages equipment. Booking System Builder helps your AI coding agent choose the right booking model and turn your requirements into an implementation workflow.

What’s included

• A reusable Skill for compatible AI coding agents.
• Guidance for staff appointments, rooms, shared equipment, fixed class sessions, rentals and home services.
• A Python/SQLite scheduling reference covering resource capacity, atomic reservations, expiring holds, cancellation and rescheduling.
• Executable reference tests and an application verification checklist.

How it works

1. Describe your services, resources, booking duration and business rules.
2. The agent identifies the booking model and asks for essential missing information.
3. It creates a structured specification and implements application files where coding tools are available.
4. It reports what was built, what was tested and which connections are still required.

Example request

“I run a photography studio with two rooms and three cameras. Customers book a room by the hour and can add a camera. Allow 15 minutes for cleanup between bookings.”

The workflow addresses room availability, shared camera allocation, cleanup buffers, customer booking steps and operator management.

Requirements

Use this Skill with a compatible AI coding agent that can read files and execute code. Running the bundled reference tests requires Python 3.9 or later.

The Skill itself is not a standalone booking website. A text-only environment can produce specifications rather than a working application.

What’s not included

Hosting, domains, AI model usage, production databases, payment processing and automatic messaging services are not included and may cost extra.

The bundled scheduling reference does not include authentication, business hours, pricing or payment integrations. These must be implemented and verified in the generated application before launch.

Verification

The bundled allocation engine passed 10 local automated tests. A separate photography-studio scenario passed 7 grouped component checks.

These results verify the local scheduling component, not every website generated with this Skill. Each application requires its own testing.

Data handling

The bundled Python scheduling reference makes no external network requests and requires no API keys. Your AI coding provider processes your inputs under its own terms. Any services connected to a generated application must be configured and disclosed separately.

Use synthetic customer data for demonstrations and keep passwords, payment details and API keys out of prompts and frontend code.