Skill UI

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.

A comprehensive guide for selecting and optimizing embedding models for advanced vector search and retrieval-augmented generation (RAG) applications. This guide covers model comparison, chunking strategies, dimension reduction techniques, and provides runnable Python templates for both OpenAI and local Sentence Transformer implementations.

A comprehensive guide for building robust, event-driven APIs using Webhooks, Server-Sent Events (SSE), and message brokers (e.g., Kafka, RabbitMQ). This skill covers advanced patterns like the transactional outbox pattern, implementing event schemas, managing webhooks with retry logic, and establishing real-time streaming endpoints for asynchronous microservices communication. Ideal for architecting complex, scalable, and resilient systems.

This skill provides comprehensive templates and patterns for drafting legally sound employment documentation. It covers core HR documents such as employment contracts, offer letters, employee handbooks, and internal HR policies. Use it to standardize onboarding, document employee agreements, and manage essential compliance requirements for your workforce.

This skill provides comprehensive, step-by-step guidance for developers to set up complete development environments from scratch. It covers dependency identification, platform-specific installation (Mac, Linux, Windows), configuration of environment variables, and verification steps for tools like Node.js, Python, and Docker. Ideal for starting new projects, onboarding team members, or troubleshooting setup issues.

This skill provides expert capabilities for diagnosing and resolving complex system failures in distributed environments. It is designed for investigating production incidents, performing deep root-cause analysis using observability tools (logging, tracing), and proposing robust, preventive fixes. Use it to significantly enhance system stability and reliability.

This skill guides the implementation of comprehensive error monitoring and observability solutions. It helps in setting up robust error tracking systems, configuring detailed alerts, implementing structured logging, and establishing workflows to ensure teams can quickly detect, group, and resolve production issues efficiently.

A sophisticated AI system that coordinates multiple specialized agents (e.g., Security Auditors, Performance Analysts, Architecture Specialists) to perform comprehensive, multi-perspective code assessments. It analyzes code context, manages state, and synthesizes conflicting insights to provide deep, holistic reviews for complex software projects.

This skill is designed for advanced error detective work. It analyzes complex log streams, correlates stack traces across distributed systems, and detects anomalous error patterns. It helps identify root causes by correlating errors with system deployments and changes, providing actionable findings for immediate fixes and long-term prevention strategies.

This skill provides expert-level diagnostic capabilities for complex distributed systems. It specializes in analyzing production incidents, identifying deep root causes, and designing comprehensive observability solutions. Use this when investigating recurring errors, reviewing system logs/traces, and implementing preventative reliability measures.

This skill acts as an expert guide for implementing comprehensive error monitoring and observability solutions. It covers setting up robust error tracking systems, configuring intelligent alerts, implementing structured logging, and establishing advanced error grouping and recovery strategies. Use it to enhance production stability and accelerate issue resolution.

A comprehensive, AI-assisted methodology for diagnosing complex software errors in production environments. This skill guides users through the entire debugging lifecycle, from initial triage and gathering observability data (Sentry, DataDog, Jaeger) to generating hypotheses, selecting appropriate debugging strategies (Time-Travel, Chaos Engineering), and performing AI-powered root cause analysis. It culminates in proposing validated fixes and prevention measures.