Skill UI

This internal agent skill defines the structured procedure for displaying bug triage results in terminal markdown format. It generates comprehensive summaries of bug clusters, provides detailed views of evidence and reports, and handles the parsing and execution flow for user review commands (e.g., `details`, `file`, `dismiss`, `escalate`). It is a core component for automated bug triage and defect management workflows.

This extension component is integral to the KubeSphere Observability Platform. It provides robust mechanisms for collecting, processing, and storing Kubernetes events using the kube-events-exporter. Users can leverage the detailed event query API to gain deep insights into cluster activity, making it essential for comprehensive system monitoring and observability setup.

This skill ingests public complaints from X/Twitter, automatically detecting, classifying, and clustering reported bugs. It cross-references symptoms with repository evidence (commits, deploys) and assigns ownership using defined routing rules. It is essential for product teams needing to monitor product health and gather early bug signals from social media channels.

KubeStellar Console is an open-source, multi-cluster Kubernetes dashboard (CNCF project) that provides advanced operational capabilities powered by an MCP server and built-in AI agent skills. It helps manage complex deployments across edge and cloud environments, offering AI-assisted troubleshooting, performance testing, and deep integration with major CNCF projects like Argo and Istio.

A comprehensive playbook detailing advanced techniques for attacking Kubernetes clusters. Covers API server access, RBAC privilege escalation, service account token abuse, etcd secrets extraction, Kubelet exploitation, and various container escapes. This guide is essential for security professionals and red teams performing deep security assessments on cloud-native infrastructure.

A comprehensive guide for managing and operating the KubeSphere network extension. This skill provides detailed instructions on installing, upgrading, enabling, or disabling the network extension, managing Calico IPPool resources, configuring NetworkPolicies, and troubleshooting network isolation flows within a Kubernetes cluster environment. Essential for platform engineers and DevOps teams.

This skill provides comprehensive operations for managing NodeGroup resources. It allows users to query, create, update, delete, and manage bindings for nodes, namespaces, and workspaces within the edgewize nodegroup environment. Ideal for infrastructure automation, troubleshooting, and API-driven cluster management.

This tool performs SERP-based semantic topic clustering, grouping keywords based on actual Google search engine results page (SERP) overlap, rather than simple text similarity. It designs comprehensive hub-and-spoke content clusters, complete with internal link matrices and interactive visualizations. Ideal for SEO strategists planning large-scale content architecture and pillar pages.

A comprehensive reference for the `uc` CLI, designed for managing decentralized, self-hosted clusters. Use this skill to deploy services via Docker Compose, configure advanced networking, and manage infrastructure components like machines, volumes, and ports. Supports Caddy ingress routing, WireGuard networking, and scaling across peer machines, making it ideal for robust, highly available self-hosting environments.

This skill provides comprehensive operational capabilities for managing FrontendExtension resources in a Kubernetes cluster. It covers the entire lifecycle, including resource creation, package generation, artifact inspection, publishing, unpublishing, deletion, and deep debugging of package and publish controller behaviors. Use it for troubleshooting FE status, managing deployment pipelines, or interacting with the FE API.

This CLI tool automates the entire issue triage lifecycle for Linear and Jira. Users can pull backlogs, cluster duplicates, apply labels, reassign owners, and post detailed summaries—all directly from the shell. It is ideal for weekly backlog cleanup, post-release bug sweeps, and synchronizing data between multiple tools (e.g., Sentry to Linear).