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Found 45 Skills
Debugging workflows for Python (pdb, debugpy), Go (delve), Rust (lldb), and Node.js, including container debugging (kubectl debug, ephemeral containers) and production-safe debugging techniques with distributed tracing and correlation IDs. Use when setting breakpoints, debugging containers/pods, remote debugging, or production debugging.
Orchestrate a specialized software development agent team. Receive user requests, classify task type, select the matching workflow, delegate each step to specialist agents via the Agent tool, and assemble the final output. Use when the user needs multi-step software development involving architecture, implementation, testing, security review, or code review. Also use for production incident investigation — when the user reports a live system issue, service outage, pod crash, data anomaly, or needs root cause analysis using kubectl, psql, argocd, or docker. Trigger this skill whenever a task involves more than one concern (e.g., "add a new endpoint" needs BA + Architect + Developer + QA + Security), when the user mentions team coordination, agent delegation, or when the work clearly benefits from multiple specialist perspectives rather than a single implementation pass.
SSH operations for remote server management, tunneling, and proxy-based connections. Use when connecting to remote servers, running remote commands, setting up SSH tunnels, port forwarding, managing jump hosts/bastions, or executing kubectl/k9s on remote clusters. Triggers on SSH, remote, tunnel, bastion, jump host, port forward, or remote kubernetes access.
Systematic debugging workflows for Kubernetes issues including pod failures, resource problems, and networking. Use when debugging CrashLoopBackOff, OOMKilled, ImagePullBackOff, pod not starting, k8s issues, or any Kubernetes troubleshooting.
Docker and Kubernetes patterns. Triggers on: Dockerfile, docker-compose, kubernetes, k8s, helm, pod, deployment, service, ingress, container, image.
Comprehensive Kubernetes cluster health diagnostics using dynamic API discovery. Use when checking cluster health, troubleshooting K8s issues, or running health assessments.
Kubernetes cluster management and troubleshooting. Query pods, deployments, services, logs, and events. Supports context switching, scaling, and rollout management. Use for Kubernetes debugging, monitoring, and operations.
Execute FireCrawl incident response procedures with triage, mitigation, and postmortem. Use when responding to FireCrawl-related outages, investigating errors, or running post-incident reviews for FireCrawl integration failures. Trigger with phrases like "firecrawl incident", "firecrawl outage", "firecrawl down", "firecrawl on-call", "firecrawl emergency", "firecrawl broken".
Set up and manage local Kubernetes clusters using KIND (Kubernetes IN Docker). Use when testing Kubernetes applications locally or developing cloud-native workloads.