Skill UI

This skill provides guidelines and mechanics for managing multi-tenant environments within KubeSphere. It focuses on the controlled creation and configuration of core resources—including workspaces, projects, and users—while strictly adhering to least privilege principles. It details the proper use of RBAC roles (Viewer, Regular, Admin) and guides users through the process of setting up organizational boundaries and access controls for secure, scalable deployment.

This guide provides a comprehensive, advanced methodology for red team operations. It covers critical topics such as Operational Security (OPSEC), designing robust C2 infrastructure using redirectors, employing living-off-the-land techniques, mastering lateral movement, establishing persistence, and planning data exfiltration while evading modern defensive systems. Use this to plan complex red team engagements or deeply understand Advanced Persistent Threat (APT) TTPs.

This advanced skill explores offensive reconnaissance techniques focused on defeating modern operating system security boundaries and mitigations. Topics include kernel/user boundary manipulation, sandbox escapes (AppContainer, LPAC), COM/RPC boundary exploitation, hypervisor interactions, and various integrity level bypassing methods. It is essential for planning advanced privilege escalation paths and understanding deep Windows security architecture, including AMSI, WDAC, and ETW manipulation.

Provides a comprehensive, production-ready deployment solution for OneNote integrations in containerized environments. This skill addresses critical issues like MSAL token persistence (supporting both file and Redis caches), implementing deep health/readiness checks that validate actual Graph API connectivity, and managing graceful shutdowns. Ideal for containerizing OneNote services for robust, scalable production use with Docker and Kubernetes.

Collects comprehensive diagnostics from an unresponsive Oracle Cloud Infrastructure (OCI) compute instance. This tool gathers critical data—including serial console logs, cloud-init logs, VCN flow logs, and CPU metrics—into a single, self-contained tar archive. Use this when an instance is failing, stuck in provisioning, or showing underlying infrastructure errors, providing support teams with all necessary information for root-cause analysis.

This skill provides a deep dive into optimizing Oracle Cloud Infrastructure (OCI) resources. It guides users through selecting appropriate compute shapes (e.g., E5.Flex, A1.Flex) and understanding the performance tiers for block volumes (Balanced, Ultra High Performance). Users can programmatically query available shapes, create performance-tuned volumes, and monitor real-time IOPS and network bandwidth using the OCI SDK, ensuring optimal infrastructure decisions for any workload.

A comprehensive checklist designed to validate that an Oracle Cloud Infrastructure (OCI) environment meets rigorous production-grade standards. This tool automates checks for critical security controls, including compartment isolation, backup policy enforcement, NSG/security list auditing, API key rotation status, encryption verification, and compliance monitoring via Cloud Guard. Use it when preparing an OCI environment for mission-critical workloads or conducting a formal security audit.

This guide provides comprehensive guidance on scaling Qdrant, a vector database. It helps users diagnose performance bottlenecks and determine the optimal horizontal or vertical scaling strategy. Strategies are categorized based on specific needs: increasing data volume, improving query throughput (QPS), minimizing query latency, or managing high query result volumes.

This guide provides comprehensive strategies for scaling datasets that exceed the capacity of a single node. It covers various architectural patterns, including multi-tenancy with payload partitioning and sliding time window management. We detail the full scaling progression, from optimizing a single node (Vertical Scaling) to distributing data across multiple nodes via sharding (Horizontal Scaling), ensuring reliable handling of massive, growing datasets.

This comprehensive guide provides advanced strategies for optimizing and scaling Qdrant vector database throughput (QPS). It covers performance tuning techniques, such as optimizing segment size, enabling quantization, and using batch search. Furthermore, it details horizontal scaling methods using read replicas and addressing disk I/O bottlenecks, ensuring high performance for large-scale, high-concurrency retrieval applications.

A comprehensive operational guide for managing Salesforce integration failures and outages. This runbook provides step-by-step procedures for initial triage, diagnosing common API errors (e.g., rate limiting, authentication failures), implementing mitigation strategies, and conducting detailed post-incident reviews (postmortems). It covers best practices for ensuring system reliability during critical system outages.

This component is an essential extension for KubeSphere Observability Platform, designed for comprehensive collection, processing, and storage of Kubernetes and KubeSphere audit events. It supports various sinks, including OpenSearch and Doris, and provides an API for querying historical audit data, ensuring robust auditing capabilities for platform operations.