Skill UI

A comprehensive guide detailing systematic strategies and patterns for optimizing cloud spending across major platforms including AWS, Azure, and GCP. It covers best practices for rightsizing resources, leveraging reserved instances, implementing lifecycle policies, and setting up robust cost governance, ensuring cost efficiency without sacrificing performance or reliability.

An expert in designing, implementing, and optimizing scalable, reliable, and cost-effective data pipelines for both batch and streaming data. Covers advanced topics including ETL/ELT patterns, Kappa/Lambda architectures, workflow orchestration (Airflow/Prefect), transformation using dbt/Spark, and managing modern storage formats like Delta Lake and Iceberg. Focuses heavily on data quality, monitoring, and cost optimization strategies.

A comprehensive runbook for standardizing incident response to Deepgram production issues. It guides users through automated triage (checking status, API connectivity, and model performance), severity classification (SEV1-SEV4), and implementing mitigation strategies, including building fallback services and replaying failed requests to ensure business continuity during outages or degradation.

A comprehensive guide for advanced DevOps troubleshooting. It covers modern observability practices (ELK, Prometheus, Jaeger), deep debugging for Kubernetes and containers, complex network analysis, CI/CD pipeline failure resolution, and multi-cloud platform issues. Ideal for performing root cause analysis and building highly resilient systems.

A comprehensive guide for managing Documenso integration incidents. It provides step-by-step procedures for diagnosing and resolving production outages, covering cloud service disruptions, self-hosted database errors, and webhook failures. Essential for on-call engineers to maintain system uptime.

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.

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 runbook providing systematic procedures for responding to Firecrawl API outages and integration failures. It guides technical teams through triage, diagnosis, and mitigation for common issues (e.g., 401, 429, 5xx errors). Includes steps for fallback implementation, evidence collection, and postmortem documentation to ensure rapid service recovery.

A comprehensive checklist for securely deploying and validating applications using Firecrawl's core APIs (scrape, crawl, map, extract) in a production environment. It covers critical areas including secure credential management, implementing crawl safety limits, robust error handling (rate limits, authentication failures), establishing monitoring alerts, and executing necessary rollback procedures.