Skill UI

Step-by-step Odoo major version upgrade advisor covering pre-upgrade checklists, community vs enterprise upgrade paths, OCA module compatibility, upgrade commands, and post-upgrade validation. Ideal for planning and executing safe Odoo upgrades (v14–v17) with staging and testing.

This skill provides comprehensive patterns for creating, maintaining, and validating OpenAPI 3.1 specifications for RESTful APIs. Use it for design-first API contract definition, generating specs from existing code, creating detailed API documentation, validating implementation conformance against the contract, and generating client SDKs. It ensures consistency across the entire API lifecycle.

Caching strategies for LLM prompts, including Anthropic prompt caching, response caching, cache invalidation, and Cache Augmented Generation (CAG) to reduce latency and cost.

Protect AI systems from prompt injection attacks by implementing input sanitization, tool permissioning, and output validation. Essential for securing LLM applications, RAG pipelines, and agentic workflows against indirect and direct attacks.

This workflow helps developers quickly build throwaway prototypes to answer specific design or functionality questions. It can generate interactive terminal applications to test complex state/business logic, or create multiple radically different UI variations toggleable from a single view, allowing for rapid validation of ideas before committing to production code.

Commit and push skill changes to the configured skills repository after review and validation. Handles git operations in the canonical repo, verifies push success, and manages cmux panes when available.

PydanticAI is a robust Python framework that integrates Pydantic's type-checking and validation capabilities into Large Language Models (LLMs). It allows developers to build production-ready AI agents that guarantee structured, validated outputs, moving beyond simple raw strings. Key features include supported tool calling, dependency injection for testability, and multi-model compatibility across major providers like OpenAI, Anthropic, and Gemini. Use this when reliability and correct data structure are paramount.

An end-to-end workflow for building robust, production-ready Python backend APIs. This guide covers all stages, including project scaffolding, SQLAlchemy database integration, Pydantic validation, implementing JWT/OAuth2 authentication, comprehensive error handling, unit testing, and Docker deployment for modern microservices.

Generate production-quality React components and UIs using the specialized Rayden UI component library and Tailwind CSS. This skill ensures that all generated code strictly adheres to a defined design system, including correct component usage, design tokens, prop validation, and established layout patterns. Ideal for scaffolding complex pages like dashboards, login forms, and data tables while maintaining premium aesthetics and consistency.

This comprehensive guide facilitates the development of a production-ready Minimum Viable Product (MVP) for a SaaS business. It covers the entire lifecycle, including idea validation, modern tech stack selection (Next.js, Supabase, Stripe), architectural design for multi-tenancy, database schema planning, authentication setup, payment integration, and a detailed pre-launch checklist for technical and marketing readiness.

Master essential security scanning tools for network discovery, vulnerability assessment, web application testing, wireless security, and compliance validation, covering tool selection, configuration, and authorized usage.

This skill provides a practical guide for comprehensive accessibility validation of web applications. It helps users test compatibility with various screen readers, validate ARIA implementations, and debug issues related to assistive technologies. Ideal for ensuring that web forms, dynamic content, and navigation are fully usable by people with disabilities.