Skill UI

Expert guide for creating custom Odoo modules. Covers scaffolding, model inheritance, ORM patterns, manifest setup, and best practices for both Community and Enterprise editions.

Master Odoo ORM patterns: search, browse, create, write, domain filters, computed fields, and performance-safe query techniques. Ideal for developers building or optimizing Odoo modules.

This critical protocol is the ultimate measure for dealing with deeply corrupted, unmaintainable, or structurally rotten code modules. Instead of risky patching, it mandates a controlled, multi-phase process to completely delete the target and rebuild it from scratch. It ensures precise identification of all public interfaces, implicit contracts, and working behaviors (the Preservation List) before any removal occurs, guaranteeing the new implementation matches the original functionality while resolving deep architectural debt.

This skill provides production-ready architectural patterns for building robust mobile applications using React Native and Expo. It covers complex topics like state management, sophisticated navigation flow, integrating native modules, and implementing offline-first capabilities. It is ideal for starting new projects or optimizing existing large-scale React Native applications.

A skill providing language-specific super-code guidelines for Ruby, covering enumerable collections, blocks, string handling, error handling, classes/modules, idioms, and anti-patterns. Ideal for developers writing idiomatic, efficient Ruby code.

Provision and manage AWS cloud infrastructure using Terraform Infrastructure as Code (IaC). Create reusable modules, manage state files, and implement best practices for declarative resource deployment. Suitable for DevOps workflows requiring automated server, network, and storage setup.

Expert guidance for creating reusable Terraform modules for AWS, covering state management, HCL best practices, and production-grade patterns. Use for building or reviewing Terraform infrastructure.

This skill provides production-ready Terraform module patterns for AWS, Azure, and GCP infrastructure. It helps build reusable infrastructure components, standardize cloud resource provisioning, and implement infrastructure as code best practices. Users can create multi-cloud compatible modules and establish organizational Terraform standards. Includes guidance on module structure, variables, outputs, and testing with Terratest.

Govern cross-module regression in large repositories with a REGRESSION.md ledger recording each module's downstream consumers and executable acceptance commands, then run affected modules and use exit codes as regression evidence.

Shared vocabulary and principles for designing deep modules with small interfaces, clean seams, and testable, AI-navigable codebases.