cms-builder

Configure PocketBase-powered e-commerce backends with automated provisioning, seeding, and schema management via AI Agents.

1|Updated Jan 18, 2026
One-click install
npx skills add https://github.com/Ericsunsk/e-commerce --skill cms-builder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cms-builder
Source: https://github.com/Ericsunsk/e-commerce/tree/main/.agent/skills/cms-builder
Command: npx skills add https://github.com/Ericsunsk/e-commerce --skill cms-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, urllib3, pocketbase, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This guide helps teams configure, manage, and operate the Elementhic CMS (PocketBase) backend using AI agents, ensuring consistent data modeling, access controls, and automation workflows.

Core Features & Use Cases

  • Centralized toolkit for provisioning PocketBase schemas, syncing system settings, seeding initial data, and updating access rules across multiple collections.
  • Automated workflows for backups, data integrity checks, and rule management across the three-tier CMS architecture.
  • Real-world scenarios: accelerating onboarding of new storefronts with ready schemas and pre-seeded content while maintaining security through webhook-driven rules.

Quick Start

Run the CMS Builder to provision the PocketBase schema and seed initial data for a ready-to-use backend.

Frequently Asked Questions about cms-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate PocketBase schema provisioning and data seeding for a new e-commerce backend?

You can automate PocketBase schema provisioning and data seeding using Python and JS scripts that call PocketBase REST APIs to configure collections, enforce access rules, and populate initial data for a ready-to-use e-commerce backend.

What is the best way to manage access rules and API updates across multiple PocketBase collections?

The best way to manage access rules and API updates across multiple PocketBase collections is by using an AI agent to execute centralized scripts that automate webhook-driven rule enforcement and security configurations.

Does this CMS automation approach support automated backups and media management?

Yes, this CMS automation approach supports automated backups and media management by enforcing data integrity checks and file operations through integrated Python scripts and the PocketBase REST API.

Can I use AI agents to configure a three-tier CMS architecture with PocketBase?

Yes, you can use AI agents to configure a three-tier CMS architecture by provisioning PocketBase schemas, syncing system settings, and managing data workflows across the separate tiers.

Do I need Python and the requests library to automate PocketBase backend operations?

Yes, you need Python along with the requests, urllib3, and pocketbase libraries to run the automation scripts that interact with the PocketBase REST API for backend configuration.