Claude Skills by majiayu000

Index of Mechanic documentation with summaries and links. Load this to understand what documentation exists and where to find detailed information on specific topics. Triggers: docs, documentation, reference, guide, help.

Context for the Mechanic/Fen WoW addon development ecosystem. Covers all components (Mechanic, FenCore, FenUI, MechanicLib), their relationships, and AFD principles. Load this at the start of addon work. Triggers: ecosystem, fen, fencore, fenui, mechanic, addon, context.

Context for FenCore - the pure logic library for WoW addons. Covers utility functions, math helpers, table operations, and environment detection. Load this when working with FenCore or needing utility functions. Triggers: fencore, utility, math, table, logic, pure functions.

Context for FenUI - the UI widget library for WoW addons. Covers frames, layouts, buttons, panels, and theming. Load this when building addon UI or working with FenUI widgets. Triggers: fenui, ui, widget, frame, layout, panel, button, tabs.

Protocol names ARE K-lines.

Context for Mechanic - the WoW addon development hub. Covers the CLI, MCP server, dashboard, in-game modules, and MechanicLib. Load this for deep understanding of Mechanic tooling. Triggers: mechanic, mech, cli, mcp, dashboard, tools, development hub.

Deep understanding of K1.reinvented's compilation architecture, node system, and extension methodology. Teaches why graphs compile to C++ and how to extend the system without violating minimalism.

Build selected K1.node2 pattern(s), upload firmware to the ESP32-S3 over LAN, verify the web API/UI, capture artifacts, and draft release notes.

k3d Kubernetes cluster management - lightweight k3s clusters running in Podman containers on the bazzite-ai network. Supports GPU passthrough, multi-instance, and service discovery with other bazzite-ai pods. Use when users need to run Kubernetes workloads or deploy k8s-based applications locally.

Эксперт k6 нагрузочного тестирования. Используй для performance testing, load scenarios и stress tests.

Load testing tool with installation and test execution commands.

Documentation for Kubernetes Agent Sandbox - a CRD-based system for managing isolated AI agent execution environments. Use for queries about Sandbox CRDs (Sandbox, SandboxTemplate, SandboxClaim, SandboxWarmPool), Python SDK (SandboxClient, SandboxRouter, ComputerUseExtension), network policies, security configurations, and implementation examples. Keywords kubernetes sandbox, agent sandbox, CRD, python sdk, agentic-sandbox-client, isolated environment, gvisor, network policy.

Hypera Azure AKS infrastructure reference. Use when user mentions cluster names (cafehyna, loyalty, sonora, painelclientes), needs kubeconfig paths, asks about spot tolerations, cert-manager issuers, or resource definition policies. Critical: Hub cluster Azure name differs from developer name.

This skill should be used when the user asks to "deploy to kubernetes", "debug pod issues", "configure ingress", "set up helm chart", "argocd sync", "kubectl commands", "service not working", "pod crashloopbackoff", "external-secrets setup", "cert-manager config", "troubleshoot k8s", "pvc pending", "metallb config", "external-dns setup", "cloudflared tunnel", or mentions k8s, kubernetes, kubectl, helm, argocd, k3s, homelab cluster. Provides comprehensive Kubernetes guidance including GitOps p...

Generate production-ready Kubernetes manifests with Deployments, Services, ConfigMaps, and Ingress

GitOps workflows and CI/CD pipeline integration for Kubernetes and OpenShift. Use this skill when: (1) Setting up ArgoCD or Flux for GitOps deployment (2) Creating CI/CD pipelines for K8s workloads (GitHub Actions, GitLab CI, Tekton) (3) Implementing progressive delivery (Canary, Blue-Green, A/B testing) (4) Configuring Kustomize overlays for multi-environment deployments (5) Creating Helm charts or managing Helm releases (6) Setting up image automation and promotion workflows (7) Implementin...

Design, organize, and manage Helm charts for templating and packaging Kubernetes applications with reusable configurations. Use when creating Helm charts, packaging Kubernetes applications, or implementing templated deployments.

Kubernetes and Helm patterns - use for deployment configs, service definitions, ConfigMaps, Secrets, and Helm chart management

自動化安裝 Kubernetes 叢集的 AI Agent Skill

**Purpose**: Generate production-ready Kubernetes manifests for todo app deployment (Phase V preparation).

**Purpose**: Generate production-ready Kubernetes manifests for todo app deployment (Phase V preparation).

Create, validate, and manage Kubernetes and OpenShift YAML manifests. Use this skill when: (1) Creating any K8s/OCP resources: Deployments, StatefulSets, DaemonSets, Jobs, CronJobs, Pods (2) Creating networking resources: Services, Ingress, NetworkPolicies, OCP Routes (3) Creating config/storage: ConfigMaps, Secrets, PVCs, PVs, StorageClasses (4) Creating RBAC: ServiceAccounts, Roles, RoleBindings, ClusterRoles, ClusterRoleBindings (5) Creating OCP-specific: DeploymentConfigs, BuildConfigs, I...

Reference the Kubernetes API. Useful for understanding what is possible via the Kubernetes REST API.

Kubernetes and OpenShift cluster operations, maintenance, and lifecycle management. Use this skill when: (1) Performing cluster upgrades (K8s, OCP, EKS, GKE, AKS) (2) Backup and disaster recovery (etcd, Velero, cluster state) (3) Node management: drain, cordon, scaling, replacement (4) Capacity planning and cluster scaling (5) Certificate rotation and management (6) etcd maintenance and health checks (7) Resource quota and limit range management (8) Namespace lifecycle management (9) Cluster ...

WHEN: Kubernetes manifest review, Helm charts, resource limits, probes, RBAC WHAT: Resource configuration + Health probes + Security context + RBAC policies + Helm best practices WHEN NOT: Docker only → docker-reviewer, Terraform → terraform-reviewer

Kubernetes and OpenShift security assessment, hardening, and compliance. Use this skill when: (1) Auditing cluster or workload security posture (2) Implementing Pod Security Standards/Admission (3) Configuring RBAC roles and permissions (4) Setting up NetworkPolicies for zero-trust (5) Managing Secrets securely (encryption, external secrets) (6) Scanning images for vulnerabilities (7) Implementing OCP SecurityContextConstraints (8) Compliance checking (CIS benchmarks, SOC2, PCI-DSS) (9) Secur...

Assists with deploying simple apps to Kubernetes consisting of a deployment and a service.

Kubernetes SRE debugging and incident investigation for pod failures, crashes, and service issues. Use when: (1) Pods not starting, stuck, or failing (CrashLoopBackOff, ImagePullBackOff, OOMKilled, Pending), (2) Debugging Kubernetes errors or investigating "why is my pod...", (3) Service degradation or unavailability, (4) Reading pod logs or events, (5) Troubleshooting deployments, statefulsets, or daemonsets, (6) Root cause analysis for any Kubernetes incident. Triggers: "pod not starting"...

Debug Kubernetes pods, services, and cluster issues. Use when the user says "pod not starting", "CrashLoopBackOff", "service not reachable", "kubectl debug", "pod stuck pending", or asks about Kubernetes problems.

Systematic Kubernetes troubleshooting and incident response. Use when diagnosing pod failures, cluster issues, performance problems, networking issues, storage failures, or responding to production incidents. Provides diagnostic workflows, automated health checks, and comprehensive remediation guidance for common Kubernetes problems.

Comprehensive Kubernetes and OpenShift cluster health analysis and troubleshooting based on Popeye's issue detection patterns. Use this skill when: (1) Proactive cluster health assessment and security analysis (2) Analyzing pod/container logs for errors or issues (3) Interpreting cluster events (kubectl get events) (4) Debugging pod failures: CrashLoopBackOff, ImagePullBackOff, OOMKilled, etc. (5) Diagnosing networking issues: DNS, Service connectivity, Ingress/Route problems (6) Investigatin...

Kubernetes ops skill for deploying, operating, and troubleshooting services on Kubernetes. Use for tasks like writing manifests/Helm, configuring deployments/services/ingress, autoscaling, observability, RBAC, secrets/configmaps, rollout/rollback, incident debugging, and production readiness checks.

ALWAYS apply this skill for ANY software development task. Triggers: implement, create, build, add, write, code, function, class, component, API, feature, fix, bug, debug, refactor, improve, clean, review, check, design, architect, structure, test, endpoint, module, service, handler, controller, model, schema, migration, deploy, configure. This skill enforces kadoppe's development principles for all coding work.

Apache Kafka architecture expert for event-driven systems, cluster design, partition strategies, consumer groups, and event sourcing/CQRS patterns. Use when designing Kafka topics, planning data pipelines, or implementing event-driven architectures.

Apache Kafka architecture expert for cluster design, capacity planning, and high availability. Use when designing Kafka clusters, choosing partition strategies, or sizing brokers for production workloads.

Kafka CLI tools expert for kcat, kafkactl, and native Kafka commands. Use when producing/consuming messages from command line, listing topics, or troubleshooting Kafka with CLI tools.

Implement type-safe Kafka consumers for event consumption with msgspec deserialization. Use when building async consumers that process domain events (order messages, transactions) with offset management, error recovery, graceful shutdown, and distributed tracing. Handles consumer configuration, manual commits, and rebalancing strategies.

Expert in event-driven architecture using Kafka. Use this for designing topics, schemas, and processing logic for asynchronous tasks.

Applies general coding standards and best practices for Kafka development with Scala.

Expert in Apache Kafka, Event Streaming, and Real-time Data Pipelines. Specializes in Kafka Connect, KSQL, and Schema Registry.

Event-driven architecture patterns with Apache Kafka. Covers event schemas, producer/consumer patterns, partitioning strategies, dead letter queues, and retry mechanisms. Works with Dapr Pub/Sub abstraction.

Expert-level Apache Kafka, event streaming, Kafka Streams, and distributed messaging

Terraform deployment expert for Apache Kafka, AWS MSK, and Azure Event Hubs. Use when provisioning Kafka infrastructure with IaC, comparing managed vs self-hosted platforms, or automating cluster deployments.

Write integration tests for Kafka producers and consumers using testcontainers. Use when testing producer/consumer workflows, verifying message ordering, testing error scenarios, and validating exactly-once semantics. Creates test Kafka brokers and validates end-to-end streaming behavior without mocking.

Kubernetes deployment expert for Apache Kafka using Helm, Strimzi, and Confluent operators. Use when deploying Kafka on K8s, configuring StatefulSets, or choosing between Kafka operators for production.

MCP server integration for Kafka operations with Claude Desktop and SpecWeave. Use when configuring Kafka MCP servers, connecting Claude to Kafka topics, or choosing between MCP implementations.

Kafka monitoring and observability expert for Prometheus, Grafana, and JMX metrics. Use when setting up Kafka monitoring, configuring alerting rules, or building performance dashboards.

Kafka operations expert for deployment, monitoring, and tooling. Kubernetes (Strimzi, Confluent), Terraform IaC, Prometheus/Grafana observability, and CLI tools (kcat, kafkactl). Use for Kafka deployment, monitoring setup, or operational tasks.

Implement type-safe Kafka producers for event streaming with msgspec serialization. Use when building async/await producers that publish domain events (orders, transactions, etc.) with schema validation, error handling, retry logic, and distributed tracing. Handles producer configuration, idempotent writes, and graceful shutdown.

Design and manage Kafka message schemas with type safety and schema evolution. Use when defining event schemas, creating schema validators, managing versions, and generating type-safe Pydantic/msgspec models from schema definitions. Supports schema registry patterns and backward/forward compatibility.