Skill UI

Conduct rigorous, multi-database literature reviews with systematic workflows, verified citations in styles like APA or Nature, and AI-enhanced schematics for publication-ready markdown and PDF outputs in biomedical and technical domains.

Craft competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC by aligning narratives with agency review criteria, detailing budgets, personnel plans, and broader impacts, and incorporating required AI-generated schematics via the scientific-schematics skill.

Assess research claims and experimental rigor by evaluating methodology, statistical validity, evidence quality, and biases using GRADE and Cochrane ROB frameworks, plus supporting schematics for complex concepts.

Use Nano Banana 2 plus Gemini 3.1 Pro Preview to iteratively craft publication-quality scientific schematics—neural nets, pathways, or system diagrams—matching document-type quality thresholds.

Generates concise 3-4 page LaTeX/PDF treatment plans across medical specialties, embedding SMART goals, evidence-based interventions, HIPAA-compliant formatting, and mandated AI-generated schematics for quick clinical actionability.

Guides building and scaling Convex backends with TypeScript schemas, queries, mutations, real-time subscriptions, auth, file storage, scheduling, and deployment across React, Next.js, Angular, Vue, Svelte, and RN.

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.

A powerful tool to scaffold and ship production-ready Model Context Protocol (MCP) servers directly from OpenAPI specifications. It supports Python and TypeScript, ensuring schema validation, safe evolution, and robust tool definition generation, eliminating the need for manual wrapper coding. Use it to expose existing REST APIs to LLM agents or build shared tool integrations.

A powerful skill for conducting structured, systematic code reviews for PRs and MRs. It goes beyond basic style checks, performing deep analysis such as blast radius tracing, comprehensive security scanning (SQLi, XSS, secrets), detecting breaking changes in APIs/DB schemas, and calculating test coverage delta. Ideal for reviewing large, complex, or security-sensitive code changes before merging.

Generates a production-ready SaaS boilerplate with authentication, database schema, billing integration, API routes, and a dashboard built with Next.js 14 App Router, TypeScript, Tailwind, shadcn/ui, Drizzle ORM, and Stripe—ideal for bootstrapping new subscription-based products.

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.

This expert assists developers in building type-safe, high-performance database layers using Drizzle ORM with TypeScript. It provides deep knowledge of schema design, complex relational querying (joins, aggregations), managing migrations via Drizzle Kit, and seamless integration with modern stacks like Next.js, tRPC, and serverless environments. Ideal for developers needing a zero-overhead, type-safe ORM alternative.