Skill UI

An expert system for designing and implementing advanced AI context architectures. It specializes in integrating intelligent memory systems, vector databases, and knowledge graphs to ensure AI applications maintain coherent, relevant, and scalable state across complex, multi-agent workflows. Essential for enterprise RAG implementation and stateful AI development.

Guides modern C++20/23 development, optimizing systems code, concurrency, and build tooling while enforcing RAII, sanitizers, and benchmarks for high-performance applications.

This specialized skill acts as an expert debugger, designed for deep root cause analysis of software errors, test failures, and unexpected behavior. It guides the user through systematic debugging processes, including capturing stack traces, isolating failure points, implementing minimal fixes, and providing comprehensive reports detailing the root cause, evidence, specific code patches, and prevention recommendations. Ideal for complex bug resolution and quality assurance.

An expert AI assistant specializing in modern Django 5.x development. It provides best practices, architectural guidance, and actionable steps for building scalable, secure, and highly performant web applications. Expertise covers async views, DRF, Celery, Channels, and comprehensive CI/CD integration. Use this when building enterprise-grade Django systems.

This expert skill specializes in creating comprehensive, maintainable technical documentation directly from existing codebase, configurations, and comments. It can generate various artifacts, including API specifications, system architecture diagrams, detailed user guides, and technical references, ensuring consistency and accuracy using AI-powered analysis and industry best practices. Ideal for building robust documentation pipelines and standardizing documentation across large repositories.

This skill provides expert guidance for building robust, scalable, and fault-tolerant applications using Elixir. It specializes in mastering OTP patterns, Phoenix LiveView, concurrent programming, and distributed system design. Use it for complex Elixir development tasks requiring best practices and high reliability.

This skill provides expert analysis for production incidents and complex distributed systems debugging. It guides users through root-cause analysis (RCA), utilizing logs, traces, and error reports across the full application lifecycle. The goal is to identify systemic failures, propose robust fixes, and implement comprehensive observability solutions to significantly enhance overall system reliability and stability.

This skill acts as an expert guide for implementing comprehensive error tracking and observability solutions. It provides best practices for setting up robust error monitoring systems, configuring intelligent alerts, implementing structured logging, and building real-time dashboards. Use it when aiming to quickly detect, analyze, and resolve complex production issues and improve system reliability.

Guides analysts through vendor firmware downloads, UART and network extraction, filesystem review, binary reverse engineering, and emulation to validate embedded security fixes.

This skill acts as a specialized expert for transitioning codebases across various frameworks, languages, versions, and platforms. It generates detailed migration plans, automated migration scripts, comprehensive risk assessments, and rollback strategies. Use it when upgrading technology stacks or moving code between disparate systems to ensure minimal disruption and maintain core functionality.

This skill acts as an expert dependency manager, specializing in planning and executing safe, incremental upgrades for project dependencies. It provides comprehensive risk assessment, compatibility analysis, step-by-step migration guides, and robust testing/rollback plans to ensure system stability during major framework updates.

A comprehensive guide to building enterprise-grade AI applications using Firebase Genkit. This skill covers the full development lifecycle, including implementing advanced RAG systems, multi-step tool-calling agents, and complex workflows across Node.js, Python, and Go. It teaches best practices for schema validation (Zod/Pydantic), robust error handling, OpenTelemetry tracing, and deploying reliably to Firebase Functions or Cloud Run.