Skill UI

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 provides high-performance, real-time object detection utilizing the Google Coral Edge TPU accelerator. It processes live camera frames to identify up to 80 COCO classes (e.g., person, car, dog). Optimized for native macOS and Linux deployment, it achieves extremely low latency (e.g., ~4ms at 320x320), making it ideal for embedded vision systems, surveillance, and low-latency monitoring applications.

A specialized Codex CLI alias designed to check the operational status of the PUA agent or team. This tool reports current active states, corresponding Process IDs (PID), Time To Live (TTL), and identifies stale or inactive records. It is primarily used for system debugging and monitoring agent health via the command line.

This skill generates a comprehensive, role-assigned checklist for product launches, feature releases, or major updates. It guides cross-functional teams through pre-launch readiness (Engineering, Marketing, Support), critical Go/No-Go decision points, launch day execution, and post-launch monitoring, ensuring a structured and complete deployment process.

This guide teaches security teams how to proactively detect and respond to unauthorized cryptocurrency mining operations across major cloud platforms (AWS, Azure). It utilizes a multi-layered approach by analyzing compute cost anomalies, monitoring GuardDuty findings, inspecting network traffic to known mining pools, and analyzing runtime process execution in EC2, ECS, and EKS environments.

This skill provides comprehensive operational controls for long-lived, cloud-hosted agent workloads. It manages the entire lifecycle—from deployment and scaling to observability and security. Features include detailed monitoring (logs, metrics, traces), safety controls (kill switches, least privilege), and robust change management processes (rollout, rollback, auditing). Ideal for mission-critical microservices and background agents.

A comprehensive, end-to-end playbook designed for software engineers and AI agents. It provides a structured methodology to safely introduce machine learning capabilities into existing, non-ML codebases. The process covers critical stages: problem framing, data readiness, architectural decoupling (using dedicated APIs/services), baseline model implementation, and final handoff to MLOps practices (CI/CD, monitoring).

Uses the Monitor tool to stream real-time events from a swarm system instead of inefficient polling. It provides live observability for key actions like agent spawns, task completions, memory writes, and health status. This is ideal for continuous monitoring and debugging of complex, distributed processes.

This skill provides comprehensive capabilities for executing, monitoring, and managing the lifecycle of workflows. It supports both structured MCP workflow management (execute, pause, resume, cancel) and invoking/resuming native JavaScript workflows defined in the `.claude/workflows/` directory. Use it to orchestrate complex, multi-step processes, including sequential, parallel, and conditional logic.

Provides a comprehensive dashboard for monitoring all connected and available third-party connectors (MCP). Users can check the status of critical marketing tools like CRM, SEO, and advertising. This skill helps identify active capabilities, highlights recommended next connections, and guides setup processes to maximize skill usage.

Automates the end-to-end process of launching paid ad campaigns across major digital platforms like Google, Meta, LinkedIn, and TikTok. It handles campaign structure, advanced audience targeting, bid strategy configuration, and includes mandatory budget safeguards and compliance checks. Use this tool for complex, high-stakes campaigns requiring rigorous pre-launch approval and deep performance monitoring.

Structured GDPR Article 35 Data Protection Impact Assessment guidance based on EDPB criteria, Opinion 28/2024, and national blacklists. Assists threshold decisions, full assessment (assets, necessity, proportionality, risk tracks, mitigations), Art. 36 consultation, and multi-jurisdictional analysis for high-risk processing like profiling, AI, biometrics, large-scale monitoring.