What problem does it solve? Diagnosing slow servers, high CPU, memory exhaustion, disk failures, and system errors normally requires deep sysadmin expertise and manual command-line investigation. This Skill gives an AI agent a structured diagnostic knowledge base so it can triage problems in seconds and perform root-cause analysis with safe, user-confirmed remediation. ## Core Features & Use Cases - Quick/Deep Two-Phase Diagnosis: Runs a ~3-second quick scan script (bash or PowerShell) returning OK/WARNING/CRITICAL per component, then triggers targeted deep-analysis modules only for flagged components. - Tiered Scenario Routing: Matches user keywords against 10 built-in core scenarios covering 80% of issues, falling back to a 60+ scenario index spanning 20 categories and 126 command files. - Risk-Gated Remediation: Classifies fixes into low/medium/high risk levels, requiring explicit user confirmation before service restarts, config changes, or package operations. - Cluster Management: Integrates with a Tencent Cloud infrastructure skill for multi-node CVM health checks, scoring, deep analysis, and gated remediation. - Use Case: A user says "my server is slow" — the agent runs the quick scan, finds memory at WARNING, runs the memory deep-analysis module, identifies a Java process leaking 8GB, and proposes a confirmed restart plus JVM tuning. ## Quick Start Ask the agent to run a full system health check on this machine and explain any warnings it finds.
