Skill UI

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.

Master the complete penetration testing lifecycle, covering all five stages from reconnaissance and scanning to vulnerability analysis using OWASP standards, and advanced exploitation techniques with tools like Metasploit. This skill provides a structured framework for conducting authorized, professional security assessments.

A comprehensive checklist guiding the full lifecycle deployment of Exa search integrations to a production environment. It covers critical stages including pre-deployment security audits, code quality verification, performance baselines, monitoring setup, and emergency rollback procedures. Use this guide when preparing for a major launch or verifying production readiness.

Comprehensive guidance for medical device manufacturers navigating complex FDA regulatory requirements. Covers device classification, submission pathways (510(k), PMA, De Novo), Quality Management System Regulation (QMSR/ISO 13485), HIPAA compliance, and cybersecurity best practices. Use this when determining the correct regulatory route for a new or modified device.

A comprehensive, step-by-step checklist for deploying Fireflies.ai integrations to a live production environment. This guide ensures API key management, webhook setup, robust health checks (including a TypeScript example), continuous monitoring, and a defined rollback procedure are all executed correctly for a successful go-live.

A comprehensive collection of patterns and best practices for automating GitHub workflows using advanced AI models. This skill enables automated PR reviews, sophisticated issue triage (labeling and commenting), and seamless integration of AI into CI/CD pipelines, significantly enhancing DevOps efficiency and code quality assurance.

This comprehensive runbook guides incident response for Groq API failures. It covers triage steps, severity classification (P1-P4), troubleshooting decision trees (e.g., handling 429 errors or 5xx outages), and implementing immediate mitigations like model fallback or key rotation. Use this when responding to Groq outages to restore service stability.

This skill provides comprehensive observability tools for Groq API integrations. It instruments the client to track critical performance metrics such as Time to First Token (TTFT), total latency, token throughput, and estimated cost. Furthermore, it sets up Prometheus exporters and alert rules to monitor rate limit status and detect performance degradation in real-time, ensuring robust production monitoring.

This utility facilitates the end-to-end deployment of Guidewire integrations to the Cloud Platform. It manages the full release lifecycle, including building configuration packages using Gradle, uploading to the Guidewire Cloud Console (GCC), and promoting deployments through various environments (dev, staging, prod). It supports advanced features like zero-downtime releases and robust rollbacks.

This skill provides comprehensive guidance on establishing secure, high-performance connectivity between on-premises data centers and major public cloud providers (AWS, Azure, GCP). It covers various connection options, including Site-to-Site VPN, AWS Direct Connect, Azure ExpressRoute, and GCP Cloud Interconnect. Use this skill to design and implement complex hybrid network patterns (e.g., Hub-and-Spoke, Multi-Cloud), ensuring high availability, proper routing (BGP), and adherence to security best practices.

This guide details setting up enterprise-grade access control for Langfuse. Learn how to configure role-based permissions (Owner, Admin, Member), implement scoped API keys, integrate SSO (SAML/OIDC), and set up comprehensive audit logging. It is essential for managing multi-team isolation and ensuring compliance in production environments.

Comprehensive patterns and best practices for deploying and managing microservices using the Linkerd service mesh on Kubernetes. Covers automatic mTLS, sophisticated traffic splitting for canary deployments, setting Service Profiles for enhanced resilience (retries/timeouts), and defining robust authorization policies.