Skill UI

A comprehensive, step-by-step runbook designed for diagnosing and resolving critical operational issues in ClickHouse databases. Covers tiered severity levels (P1-P3) for scenarios ranging from server outages and OOM kills to performance degradation and stuck queries. Provides essential system tables queries and commands for service recovery and system health checks.

This skill provides comprehensive guidance for deploying and managing GPU-accelerated AI inference services on CoreWeave Kubernetes (CKS). It covers best practices including containerization using NVIDIA CUDA base images, configuring specific GPU resource limits (A100/H100), setting up robust health checks, and executing controlled rolling updates. Ideal for managing multi-model inference and scaling demanding AI workloads in a cloud environment.

This skill integrates Aegis detection events directly into Home Assistant. By firing specific `aegis_detection` events, it allows users to automate actions in their smart home setup. Users can configure automations to automatically turn on lights, send notifications, or execute complex routines based on detected security activity. Requires HA credentials for secure connection.

This skill helps users create specialized 'steering documents' or project memory for highly specific domains (e.g., API standards, testing strategies, security patterns). By analyzing the existing codebase and following predefined architectural principles, it synthesizes concise, actionable guides that capture technical patterns, best practices, and domain-specific rules, ensuring project consistency and knowledge retention.

This skill provides a deep dive into the architecture of low-level keyloggers. It covers techniques such as kernel driver hooks, using WH_KEYBOARD_LL, ETW-based input capture, and analyzing user-mode vs. kernel-mode approaches. Use this methodology to understand input capture mechanisms, research EDR evasion methods, or analyze malware architecture for advanced security threat detection.

This tool conducts comprehensive searches across major patent databases (like Google Patents and Espacenet) and academic literature (Google Scholar, arXiv) to identify 'prior art' related to a proposed invention. It systematically extracts core concepts, technical features, and relevant classification codes (IPC/CPC). Users can assess the novelty, inventive step, and technical landscape of their ideas, and perform a preliminary Freedom-to-Operate (FTO) assessment before filing or developing a product.

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 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.

Master the setup of enterprise-grade Role-Based Access Control (RBAC) within Snowflake. This guide covers defining custom role hierarchies, managing system roles, granting granular object privileges, and integrating advanced security features like SAML/OIDC-based Single Sign-On (SSO) and SCIM for automated user provisioning. Essential for implementing least-privilege access patterns and robust data governance.

A comprehensive guide for simulating a full Software Development Life Cycle (SDLC) using specialized AI roles. It defines protocols for managing cross-functional teams (Dev, QA, DevOps, Product), covering sprint planning, codebase management, bug tracking, and deployment, ensuring context survival across multiple chat sessions.

A comprehensive methodology designed for authorized external reconnaissance and red-teaming operations. It covers the full attack surface mapping lifecycle, including asset discovery, confidence scoring (Tentative, Firm, Confirmed), and developing structured, evidence-based client deliverables. Essential for ethical hacking, bug bounty, and assessing an organization's external digital footprint.

A comprehensive guide for cryptanalysts detailing advanced attack vectors against RSA cryptography. This playbook covers factorization methods, small exponent exploits (e.g., Hastad Broadcast), lattice-based attacks (Wiener's, Boneh-Durfee), and methods exploiting protocol weaknesses like padding oracles. Essential for CTF challenges and authorized security assessments.