Skill UI

Automated guidance for Kubernetes ingress configuration within advanced DevOps workflows, covering best practices, production-ready setups, and validation for infrastructure-as-code delivery.

Consolidates Kubernetes deployment best practices across manifests, Helm charts, autoscaling, and troubleshooting to keep API workloads resilient, efficient, and observable. Ideal for SREs or platform teams standardizing resource limits, probes, topology spread, and diagnostics.

Provides automated guidance for Kubernetes RBAC analyzer tasks within Security Advanced workflows, covering best practices, production-ready configurations, compliance checks, and threat modeling steps whenever the analyzer is mentioned.

Automates guidance for managing Kubernetes secrets, covering best practices, Terraform/Helm patterns, and IaC validation ideal for advanced DevOps scenarios.

Automated guidance for Kubernetes service management in the DevOps Advanced domain, offering best-practice advice, code snippets, and config checks for services, Terraform, Helm, and monitoring workflows.

Guides Kubernetes operators through workload design, manifest generation, security hardening, networking, storage, GitOps, and multi-cluster operations while ensuring probes, resource limits, and least-privilege policies.

Automate Labs64 Netlicensing operations through Composio’s Rube MCP by discovering current tool schemas, managing toolkit connections, and executing workflows safely with session-aware, schema-compliant tool calls.

Automates AWS Lambda layer setup by providing step-by-step guidance, validating against best practices, and generating production-ready code and deployment configurations for compute, storage, and networking scenarios.

A comprehensive guide for safely migrating monolithic or aging codebases. It details incremental modernization strategies, dependency mapping, and the implementation of the Strangler Fig pattern. Learn how to build safety nets using characterization tests, manage rollouts with feature flags, and achieve zero-downtime refactoring to reduce technical debt without business disruption.

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.

A systematic, multi-phase workflow designed for diagnosing and resolving complex Linux system issues. It guides users through initial assessment, resource analysis (CPU, memory, disk), process investigation, log analysis, network diagnostics, and service failure resolution. Ideal for system administrators and DevOps engineers handling production incidents.

Execute comprehensive load, stress, and soak tests to validate API performance, identify scaling bottlenecks, and establish throughput baselines. This tool simulates realistic, high-volume traffic patterns using industry-standard tools like k6 or Artillery, allowing users to define complex scenarios (e.g., e-commerce checkout flows, traffic spikes) and assert performance thresholds (p95 latency, error rates). It helps pinpoint resource limitations in databases, network layers, or compute resources, ensuring the API is ready for production scalability.