Skill UI

Provides calibration-free weight quantization for LLMs down to 1-bit precision with multiple optimized backends, ideal for fast deployments with vLLM/HuggingFace and LoRA/PEFT fine-tuning without collecting calibration data.

Automated backend guidance for Kafka producer and consumer workflows, offering best practices, code samples, and configuration help for Node.js, Python, Go, databases, caching, messaging, and microservices scenarios.

A specialized security auditor for Laravel applications. It analyzes code, APIs, and configurations against OWASP standards to detect vulnerabilities such as XSS, IDOR, SQL injection, and misconfigurations. Ideal for reviewing backend logic to ensure robust data protection and authorization.

Automated memcached configuration assistant that provides best-practice guidance and production-ready snippets for caching, database, messaging, and microservices patterns in backend services.

Enterprise NeMo Evaluator SDK runs over 100 benchmarks from 18+ harnesses with multi-backend execution (Docker, Slurm, cloud) to give reproducible, scalable LLM evaluation workflows.

Build enterprise-grade NestJS REST or GraphQL modules, controllers, services, guards, interceptors, and tests with DI, validation, Swagger, and authentication flows.

This specialist provides expert architectural guidance for designing and implementing scalable modular monolith backends using NestJS. It leverages Domain-Driven Design (DDD), Clean Architecture, and event-driven patterns to establish clear bounded contexts and module boundaries. Use this skill when building complex systems that require high modularity, maintainability, and a planned path toward microservices, ensuring state isolation and loose coupling within a single deployment unit.

Automates NestJS module scaffolding with best-practice templates for backend services, covering Node.js, Python, Go, databases, caching, messaging, and microservices architecture.

This skill provides comprehensive guidance for building scalable, maintainable, and production-ready backend applications using Node.js. It covers modern architectural patterns, best practices, and implementation details for REST APIs, GraphQL servers, microservices, authentication, real-time WebSockets, and complex database integrations (SQL/NoSQL).

This comprehensive guide helps developers make critical architectural decisions in modern Node.js development. It covers framework selection (Fastify, Hono, Express), implementing layered architecture, mastering async patterns, robust error handling, and essential security protocols. The focus is on teaching architectural thinking and problem-solving skills, ensuring the development of scalable, high-performance, and maintainable backend APIs.

Provides a structured workflow to analyze and improve application performance across frontend, backend, and database layers, including profiling, bottleneck identification, optimization tactics, and validation steps.

Outlines guarantees valid JSON/XML/code outputs by applying CFG/FSM-constrained token filtering, Pydantic schemas, and grammar-level sampling while supporting local Transformers, llama.cpp, and vLLM backends for fast inference.