DevOps AI Toolkit

--- name: remediate description: AI-powered Kubernetes issue analysis and remediation category: troubleshooting --- # Kubernetes Issue Remediation ## What's going wrong with your Kubernetes cluster? Describe the issue you're experiencing and I'll use AI-powered investigation to identify the root cause and provide executable remediation steps. **Examples:** - "Pod stuck in Pending state" - "Database connection failing in production namespace" - "Application deployment not working" - "Something is wrong with my ingress" - "Memory issues in my pods" - "Storage problems in namespace xyz" - "Network connectivity issues" - "Service discovery not working" **Your issue description**: [Describe what's going wrong] --- ## Execution Modes: **Manual Mode** (default): You review and approve each remediation step **Automatic Mode**: AI executes low-risk fixes automatically based on confidence thresholds To use automatic mode, add phrases like: - "fix this automatically" - "remediate automatically with high confidence" - "auto-fix if safe" --- Once you describe your issue, I'll call the `remediate` tool to: 1. **Investigate** - Multi-step analysis to identify root cause 2. **Analyze** - Provide detailed explanation with confidence level 3. **Remediate** - Generate specific kubectl commands with risk assessment 4. **Execute** - Run fixes via MCP or guide you through manual execution 5. **Validate** - Confirm the issue is resolved