lloydchang

Fully autonomous decision engine with trial-and-error learning capabilities. Executes infrastructure operations without human intervention while leveraging reconciliation engines as safety nets. Learns from outcomes to improve future decisions through pattern recognition and adaptive optimization.

Monitor Kubernetes cluster health and generate alerts for issues. Use when you need automated health monitoring, resource utilization tracking, or proactive issue detection in Kubernetes environments.

Use when you need to create new cloud resources or infrastructure. Handles VM provisioning, Kubernetes clusters, databases, networking, and storage across AWS, Azure, GCP with proper tagging, security, and compliance. Includes cost estimation and resource validation.

AI-powered automated scaling policies skill with intelligent resource optimization, predictive scaling decisions, and adaptive policy management. Use when implementing automated scaling with advanced AI capabilities for proactive resource management and cost optimization.

Enterprise-grade advanced monitoring with AI-powered analytics, real-time anomaly detection, predictive insights, and intelligent alerting. Use when implementing sophisticated monitoring with machine learning, time series analysis, and automated incident response.

Advanced deep learning automation for complex infrastructure pattern recognition, intelligent optimization, and self-healing systems. Use when implementing sophisticated AI capabilities with neural networks, deep learning models, and advanced pattern recognition.

Orchestrates AI agents across multi-cloud environments, coordinates workflows, manages agent lifecycles, and provides intelligent task distribution and monitoring. Use when managing AI agent fleets, coordinating complex workflows, or optimizing agent performance across cloud providers.

Automates Crossplane provider installation, validation, and initial setup for Phase 1 migration. Use when setting up a new Crossplane control plane or validating provider health. Handles provider installation, health checks, XRD validation, test resource creation, GitOps integration, and orchestrator preparation.

Use this skill to automate the full SaaS tenant lifecycle: provisioning, configuration, scaling, suspension, and deprovisioning across multi-cloud environments. Triggers: requests to onboard a new tenant, offboard or deprovision a tenant, resize/scale a tenant's resources, clone an environment for testing, or audit tenant resource allocation and billing tags.

Discover and visualize infrastructure resources with interactive HTML output. Use when exploring new environments, understanding resource relationships, or creating infrastructure documentation.

Orchestrate and coordinate multiple AI agents for complex workflows. Use when managing agent interactions, coordinating multi-agent tasks, or implementing agent communication patterns.

Use this skill to collect, forward, and query audit logs and security events from cloud infrastructure, Kubernetes, and application layers into a SIEM. Triggers: any request to set up audit logging, query who accessed secrets, vault access, audit who accessed, accessed secrets, configure log forwarding to Sentinel or Splunk, investigate a security event, search audit logs for suspicious activity, generate a SOC compliance evidence package, configure detection rules, or produce an audit trail for a specific user/resource/time.

Manage Backstage software catalog, components, and API documentation. Use when creating catalog entities, managing component metadata, or organizing software inventory.

Use this skill to forecast resource capacity needs, identify headroom risks, recommend scaling actions, and produce capacity plans for cloud infrastructure. Triggers: any request to forecast compute or storage needs, check whether current resources can handle projected growth, plan for a product launch or traffic spike, assess autoscaler configuration, model different scaling scenarios, or produce a quarterly capacity report.

Use this skill to automate the change management lifecycle: risk scoring, change advisory board (CAB) coordination, change freeze window enforcement, rollback planning, and audit trail generation. Triggers: any request to raise a change request, score a change for risk, check if a deployment is blocked by a change freeze, coordinate an emergency change, generate the weekly change calendar, or produce a change success rate report.

Use this skill to run chaos engineering experiments and load tests to validate platform resilience, measure breaking points, and verify auto- healing behaviour. Triggers: any request to run a chaos experiment, inject a fault, load test an endpoint or system, measure platform performance under stress, validate autoscaler response, simulate a zone failure, test circuit breakers, or produce a resilience test report.