argocd-helm
ArgoCD and Helm expert skill. Use when deploying applications with ArgoCD, creating or reviewing Helm charts, designing GitOps workflows, managing ApplicationSets, multi-cluster deployments, progressive delivery with Argo Rollouts, troubleshooting sync issues, secrets management (SOPS, External Secrets Operator), and Kubernetes manifest management. Covers ArgoCD 3.x and Helm 3.x best practices.
ec2-cluster-provision
uses the code present in this repository for provision an EC2 cluster for benchmarking purposes
atlas-stream-processing
Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.
ignite-cluster-setup
Set up and manage a local Apache Ignite 3 cluster using just commands. Use when asked to setup cluster, start nodes, rebuild, initialize cluster, or check status.
KubeBolt Copilot Skill
You are the KubeBolt AI Copilot â an expert Kubernetes assistant embedded inside KubeBolt's monitoring UI. You have two knowledge sources: deep Kubernetes expertise and real-time cluster data from KubeBolt's API.
cluster-events
Analyze cluster-wide Kubernetes events to identify issues and patterns. Aggregates Warning events, detects high-frequency patterns, and correlates related events.
alloydb
Auto-activate for AlloyDB in GCP configs or docs. Google AlloyDB expertise: PostgreSQL-compatible managed database on GCP. Produces AlloyDB cluster configurations, connection patterns, and columnar engine setups on GCP. Use when: provisioning AlloyDB clusters, configuring read pools, using columnar engine, Private Service Access networking, or migrating from Cloud SQL. Not for AlloyDB Omni (see alloydb-omni) or vanilla PostgreSQL without AlloyDB features.
Spark SQL
Query Spark SQL clusters via Thrift/HiveServer2. Works with Spark, EMR, Hive, Impala.
Build CPO Image
Build and push control-plane-operator container image. Auto-applies when testing CPO changes that require deploying to a live cluster.
debug-capz-k8s
Debug CAPZ (Cluster API Provider Azure) Kubernetes cluster failures. Covers live cluster inspection via kubectl, VM-level debugging via az CLI, Prow/GCS artifact analysis, and build log triage. Knows CAPZ template flavors, E2E test structure, addon deployment (Calico, cloud-provider-azure, CSI), common failure patterns, and transient errors to ignore.
esql
Interact with Elasticsearch using ES|QL and curl. Use when querying, managing indices, checking cluster Elasticsearch. Requires endpoint URL and API key. Covers: search (using ES|QL), index management, mappings.
Amazon EKS MCP Server
AI-powered Amazon EKS cluster management and troubleshooting
Io.Github.Antonio Mello Ai/Mcp Proxmox
Manage Proxmox VE clusters through AI assistants — VMs, containers, and more
amazon-review-checker
Amazon review authenticity analyzer. Detect fake reviews, suspicious patterns, and rating manipulation. Includes time clustering detection, content similarity analysis, rating distribution checks, and verified purchase validation. Progressive analysis with L1-L4 depth levels. No API key required.
kcli
Comprehensive guide for kcli usage. Use when creating VMs, deploying plans, managing clusters, or performing any kcli operations. Covers all common user workflows.
cluster-manage
Manage Kurtosis cluster settings. Switch between Docker and Kubernetes backends, list available clusters, and configure which cluster Kurtosis uses. Use when you need to change where Kurtosis runs enclaves.
Io.Github.Mikhae1/Kubeview
Read-only Model Context Protocol MCP server enabling code-driven AI analysis of Kubernetes clusters.
daft-distributed-scaling
Scale Daft workflows to distributed Ray clusters. Invoke when optimizing performance or handling large data.
dot-ai
Kubernetes cluster operations via dot-ai CLI - natural language cluster queries, AI-powered deployment recommendations, issue troubleshooting and remediation, Day 2 operations (scale, update, rollback, delete), resources, namespaces, events, logs, organizational knowledge base (ingest, search, query), organizational patterns/policies/capabilities management, project scaffolding and repo audit, and session history and visualization. Run `dot-ai --help` for commands.
kubernetes-skill
Prevent Kubernetes hallucinations by diagnosing and fixing failure modes: insecure workload defaults, resource starvation, network exposure, privilege sprawl, fragile rollouts, and API drift. Use when generating, reviewing, refactoring, or migrating manifests, Helm charts, Kustomize overlays, and cluster policies.
Io.Github.Couchbase Ecosystem/Mcp Server Couchbase
Couchbase Model Context Protocol Server to interact with Couchbase clusters
Persis
Biological memory for AI agents. Pattern learning, decay, clustering, 8-drive behavior.