Skill UI

A comprehensive guide for deploying Apollo.io integrations to production environments. This skill covers robust deployment strategies across multiple cloud platforms, including Vercel, GCP Cloud Run, and Kubernetes. It emphasizes best practices such as implementing health check endpoints, managing secrets using dedicated secret managers, and structuring CI/CD pipelines for reliable, scalable, and secure production rollouts.

Expert in designing, building, and optimizing scalable data pipelines, modern data warehouses, and real-time streaming architectures. Mastery covers the complete modern data stack, including Spark, dbt, Airflow, and cloud services (AWS, Azure, GCP). Focuses on ELT/ETL, data lakehouse implementation (Delta Lake, Iceberg), data governance, and ensuring high data quality and operational 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 guide for establishing robust, enterprise-grade access control within Databricks. Covers implementing Single Sign-On (SSO) via SCIM, leveraging Unity Catalog for fine-grained Role-Based Access Control (RBAC), defining cluster policies, and enforcing data governance measures like Row-Level Security (RLS) and column masking. Essential for large-scale, secure data platforms.

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 guide featuring best practices and patterns for building robust GitLab CI/CD pipelines. Covers multi-stage deployments, containerization (Docker), infrastructure as code (Terraform), security scanning, caching strategies, and advanced GitOps workflows for automated testing and deployment to Kubernetes.

A comprehensive runbook providing standard operating procedures for handling Granola service disruptions, ranging from minor recording failures and sync errors to full organizational outages. It guides users and IT admins through triage (P1-P4 severity), detailed remediation steps, and escalation paths to ensure business continuity.

A comprehensive SRE/DevOps framework guiding teams through the entire incident lifecycle: detection, response, resolution, and post-mortem. Features include automated severity classification, timeline reconstruction from scattered logs, and structured Post-Incident Review (PIR) generation, enabling effective command and control during major outages.

An expert guide for designing, implementing, and optimizing large-scale, secure, and highly available cloud-native infrastructure using Kubernetes. Covers advanced topics including GitOps workflows (ArgoCD/Flux), service mesh architecture (Istio), multi-cluster management, Policy as Code (OPA), and infrastructure automation with Terraform. Ideal for platform engineers building enterprise-grade container orchestration solutions.

A comprehensive, step-by-step guide for deploying applications on Replit to production environments. It covers crucial best practices, including configuring deployment settings, managing environment secrets, implementing robust health checks, handling global errors, setting up custom domains, and defining rollback strategies. Essential for developers preparing an app for a live launch or scaling up.

Scans codebases for debt, scores severity, tracks trends, produces prioritized remediation plans, and reports progress for engineering teams balancing refactoring with feature delivery.

A comprehensive, multi-phase workflow designed for Infrastructure as Code (IaC) using Terraform. It guides users through provisioning cloud resources, creating reusable modules, managing complex state, handling multi-environment deployments, and integrating robust CI/CD pipelines and security practices. Ideal for establishing scalable, repeatable, and auditable cloud infrastructure.