Skill UI

This skill guides the implementation of Electronic Data Interchange (EDI) standards (X12, EDIFACT) within Odoo. It covers mapping complex B2B transaction sets—such as Purchase Orders (850), Invoices (810), and Advance Ship Notices (856)—to specific Odoo business objects. Use this to automate inbound and outbound document flows, ensuring seamless, automated data exchange with trading partners.

This skill guides the setup of Odoo for international operations, ensuring strict adherence to country-specific fiscal regulations. It manages complex localization requirements across 80+ countries, including setting up country-specific charts of accounts (CoA), configuring VAT/GST rules, and integrating mandatory e-invoicing systems (e.g., Mexico CFDI, Italy FatturaPA, Poland SAF-T). Essential for achieving full tax and financial compliance in global markets.

This skill provides a comprehensive guide and implementation methods for building a robust synchronization bridge between Odoo (ERP system) and WooCommerce (e-commerce store). It covers the automatic synchronization of products, real-time inventory updates, customer records, and the import/mapping of sales orders, ensuring data consistency across both platforms using their respective REST and external APIs.

Attempts to expose an open-source context resource, but the current skill metadata only yields a 404 response, indicating the referenced content is unavailable or missing from the system.

This skill provides comprehensive expertise in paid advertising across major platforms like Google Ads, Meta, LinkedIn, and TikTok. It guides users through the entire campaign lifecycle, from defining core objectives and identifying ideal audiences (lookalikes, retargeting) to crafting high-converting ad copy (PAS, BAB). Learn best practices for campaign structure, budget allocation, and advanced optimization techniques based on key metrics like ROAS, CPA, and CTR.

A comprehensive guide and methodology for identifying, measuring, and fixing performance bottlenecks across the entire stack. This skill covers optimizing database queries (e.g., N+1 problems, missing indexes), improving API efficiency (caching, parallel processing), and enhancing frontend performance (memoization, code splitting, image optimization). It emphasizes the critical 'Measure First' principle to ensure all optimizations are data-driven and effective.

This skill outlines a comprehensive methodology for designing, building, and deploying robust LLM-powered applications. It covers assessing task-model fit, designing modular pipelines (acquire -> prepare -> process -> parse -> render), and managing state using file systems to ensure scalability and reliability in AI systems.

This skill formalizes successful, recurring patterns discovered in auto-memory (MEMORY.md) and graduates them into permanent, enforced rules within the project's core instruction set (CLAUDE.md or scoped rules). It ensures that learned best practices become mandatory project conventions, significantly improving adherence and consistency across all future AI interactions and development cycles. Use this when a temporary note proves to be a vital, repeatable guideline.

Placeholder skill entry for risk modeling workflows that outlines basic analytics and scenario planning used to quantify potential losses and guide mitigation decisions.

This skill provides best practices for structuring complex, production-ready applications built with Makepad. It details robust asynchronous communication patterns, showing how to integrate the Tokio runtime, manage state synchronization, and handle data flow between the main UI thread and background worker tasks using MPSC channels and SignalToUI. Essential for developing advanced chat clients or data streaming services.

This skill provides best practices for integrating Matrix SDK functionality into Makepad applications. It details the architecture and implementation patterns for building robust, real-time chat clients. Topics include using native Sliding Sync for efficient room updates, managing asynchronous requests (e.g., sending messages, fetching timelines), and handling complex Matrix operations within a Tokio runtime environment.

This skill provides best practices for managing application state and ensuring data persistence within large-scale applications, particularly for systems using Makepad architecture (Robrix/Moly). It details core structures like AppState, techniques for passing state through widget trees (Scope), and handling persistent data serialization (serde) across sessions, making it essential for building robust, multi-session UIs.