Skill UI

Master the advanced process of database schema and data migrations across major ORMs (Sequelize, TypeORM, Prisma). This skill provides best practices for handling complex transformations, including implementing zero-downtime deployments, renaming columns, changing data types, and executing complex data restructuring. It emphasizes robust rollback strategies to ensure data integrity during critical database updates.

Capture production-grade migration workflows, rollback safeguards, and tooling tips (PostgreSQL, Prisma, Drizzle, Django, TypeORM, golang-migrate) to evolve schemas and data safely without disrupting live traffic.

Generates ORM models and database schemas for frameworks like TypeORM, Prisma, Sequelize, SQLAlchemy, Django ORM, Entity Framework, and Hibernate, translating user requests into ready-to-use model code or schema definitions to accelerate backend development.

This skill specializes in transforming theoretical threat models, risk assessments, and business context into concrete, actionable security requirements. It is essential for writing detailed security user stories, defining robust acceptance criteria, building comprehensive security test cases, and ensuring compliance requirement mapping. Use it when bridging the gap between identifying a vulnerability and specifying how the system must be secured.

Guides symbolic mathematics work in Python, covering algebraic simplification, calculus, equation solving, linear algebra, physics, number theory, geometry, and code generation to deliver exact symbolic results instead of numeric approximations.

This powerful tool helps translate natural language requirements into robust, normalized relational database schemas. It can generate comprehensive schema designs, complete with relationships, constraints, and advanced architectural concerns like multi-tenancy, soft deletes, and audit trails. Furthermore, it automates the generation of database migrations (supporting Prisma, TypeORM, Alembic, etc.), corresponding type definitions (TypeScript/Python), seed data, and Entity-Relationship Diagrams (ERD) using Mermaid.

Guides Odoo users through configuring FIFO/AVCO valuation, reordering rules, putaway strategies, warehouse routes and multi-step flows to ensure accurate stock levels and traceable receipts/shipments.

Rigorously dissects code and architecture through advanced mathematics—graph theory, category theory, stochastic systems, information theory, and formal invariants—to uncover hidden structure and optimize performance.

A comprehensive technical module covering foundational deep learning principles and cutting-edge computer vision architectures, drawing from Yann LeCun's research. Topics include CNN fundamentals, backpropagation theory, and advanced self-supervised learning (SSL) models such as SimCLR, MAE, and the modern Joint Embedding Predictive Architecture (JEPA). Provides detailed theoretical explanations and complete PyTorch code for implementation.

This skill autonomously improves a generated research paper by simulating an iterative review, fix, and recompile process using advanced LLMs (e.g., GPT-5.4). It is designed to polish the writing quality, fix theoretical inconsistencies, and structure the paper over multiple rounds, significantly enhancing the final output. Use this when you need to refine a draft after initial generation.

Guides researchers through organizing assumptions, invariant objects, notation, and derivation maps to turn loose goals, messy notes, or partial formula chains into a coherent package suitable for paper-style theory drafts or blocker reports.

Provides guidance on organizing and writing focused XUnit unit tests, covering project setup, fact/theory patterns, assertions, mocking, and data-driven testing for reliable .NET test suites.