Skill UI

This model provides an engineering operational framework for teams that leverage AI agents to generate large volumes of code. It shifts the focus from simple syntax to process quality, robust architecture design, rigorous testing, and systematic risk control, ensuring the development of highly stable and reliable systems in AI-assisted environments.

This comprehensive guide helps users build, audit, and debug robust analytics tracking systems using GA4 and Google Tag Manager. It focuses on establishing a consistent event taxonomy and capturing every meaningful user action—from initial visits to complex conversions—ensuring data integrity for accurate decision-making.

This skill implements the BDI (Belief-Desire-Intention) architecture for advanced cognitive agent modeling. It allows agents to reason about context by transforming external knowledge (like RDF triples) into internal mental states (beliefs, desires, intentions) and vice versa. Key features include goal-directed planning, explainable reasoning chains, and T2B2T (Triples-to-Beliefs-to-Triples) flow, making it ideal for multi-agent systems and augmenting LLMs with formal cognitive structures.

Build a comprehensive, real-time support chat system designed for modern applications. This solution provides a floating, user-facing chat widget for instant customer inquiries and a robust admin dashboard for support staff. It handles real-time messaging, chat history management, and notification systems via WebSockets, making it ideal for integrating live support channels into any platform.

This pattern defines a robust, continuous loop structure for autonomous agents. It integrates crucial components like quality gates, evaluation harnesses, and explicit recovery controls. It guides complex workflows by defining decision paths (e.g., PR control, RFC decomposition) and includes strategies to mitigate common failure modes such as infinite loop churn or cost drift, ensuring measurable progress in autonomous systems.

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.

A production-grade toolkit designed for robust Playwright end-to-end testing. This AI assistant guides users through the entire testing lifecycle: generating tests from specifications, diagnosing and fixing flaky failures, migrating from Cypress or Selenium, and integrating with test management systems like TestRail and BrowserStack. It enforces best practices and ensures high test quality and coverage.

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.

Guides growth engineers through designing, launching, or optimizing referral and affiliate systems, covering loop mechanics, incentives, triggers, sharing, and measurement to turn customers into acquisition engines.

A comprehensive guide and best practices for managing event handling and defining custom action patterns within Makepad applications. It covers centralized action processing (using MatchEvent), widget-to-widget communication, and implementing complex state logic, making it ideal for building robust chat clients or complex UI systems.

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.

A rigorous, multi-phase auditing skill designed for blockchain protocols. It verifies whether the implemented smart contract code strictly adheres to the detailed specifications provided in whitepapers, design documents, or technical specifications. It performs exhaustive, line-by-line semantic analysis to identify gaps, inconsistencies, and deviations across logic, invariants, and security guarantees, making it essential for formal compliance checking in decentralized systems.