Kubernetes
Kubernetes orchestration
kubernetes-specialist
by Jeffallan
Use when deploying or managing Kubernetes workloads. Invoke to create deployment manifests, configure pod security policies, set up service accounts, define network isolation rules, debug pod crashes, analyze resource limits, inspect container logs, or right-size workloads. Use for Helm charts, RBAC policies, NetworkPolicies, storage configuration, performance optimization, GitOps pipelines, and multi-cluster management.
syncable-entity-integration
by twentyhq
Wire syncable entity services into NestJS modules, create service layer and resolvers for Twenty entities. Use when registering builders, validators, and action handlers in modules, creating business services, or exposing entities via GraphQL API with proper exception handling.
syncable-entity-builder-and-validation
by twentyhq
Create validation logic and migration action builders for syncable entities in Twenty. Use when implementing business rule validation, uniqueness checks, foreign key validation, or building workspace migration actions for syncable entities. Validators never throw and never mutate.
deploy
by Chachamaru127
"VercelやNetlifyへいざ出陣。本番環境への片道切符を手配します。Use when user mentions deployment, Vercel, Netlify, analytics, or health checks. Do NOT load for: implementation work, local development, reviews, or setup."
deploy
by Chachamaru127
"VercelやNetlifyへいざ出陣。本番環境への片道切符を手配します。Use when user mentions deployment, Vercel, Netlify, analytics, or health checks. Do NOT load for: implementation work, local development, reviews, or setup."
analyzing-kubernetes-audit-logs
by mukul975
'Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC modifications,
deploy
by oliver-kriska
Elixir/Phoenix deployment patterns - releases, Docker, Kubernetes, Fly.io. Load when deploying to production.
cloud
by markdown-viewer
Create cloud architecture diagrams using drawio XML format with official cloud provider icons. Best for AWS, Azure, GCP, Alibaba Cloud architecture diagrams with proper service icons and layout conventions. Built on drawio with cloud-specific stencils. NOT for simple flowcharts (use mermaid) or network topology without cloud services (use network skill).
pvc-debug
by scitix
Diagnose PersistentVolumeClaim failures (Pending PVC, StorageClass not found, PV binding issues, capacity mismatch). Checks PVC, PV, StorageClass, and provisioner events to identify why storage is not available.
pod-pending-debug
by scitix
Diagnose pod scheduling failures (Pending, Unschedulable). Checks events, node resources, taints, affinity, and PVC bindings to identify why a pod cannot be scheduled.
pod-crash-debug
by scitix
Diagnose pod crash failures (CrashLoopBackOff, OOMKilled, Error, RunContainerError). Checks pod status, events, and previous logs to identify root cause.
hpa-debug
by scitix
Diagnose HorizontalPodAutoscaler failures (not scaling, metrics unavailable, target mismatch). Checks HPA status, metrics-server health, and scaling events to identify why autoscaling is not working.
service-debug
by scitix
Diagnose Service connectivity issues (empty Endpoints, selector mismatch, port mismatch, no backend pods). Checks Service, Endpoints, and target pods to identify why traffic is not reaching backends.
cluster-events
by scitix
Analyze cluster-wide Kubernetes events to identify issues and patterns. Aggregates Warning events, detects high-frequency patterns, and correlates related events.
pod-show-gateway
by scitix
Show the gateway for a network interface in a Kubernetes pod. Reads the routing table via ip -j route from the pod's network namespace. Execute via pod_netns_script tool.
deployment-patterns
by affaan-m
Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.
senior-data-scientist
by alirezarezvani
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.
Observability Designer (POWERFUL)
by alirezarezvani
This comprehensive observability design skill enables organizations to build robust, scalable monitoring and alerting systems that provide actionable insights while maintaining cost efficiency and operational excellence.
Incident Commander Skill
by alirezarezvani
Remember: The goal isn't to prevent all incidents (which is impossible), but to detect them quickly, respond effectively, communicate clearly, and learn continuously.
reload
by rcarmo
Reinstall piclaw from workspace source and force-restart the running process. Use after making code changes to piclaw.
apollo-deploy-integration
by Dicklesworthstone
Deploy Apollo.io integrations to production. Use when deploying Apollo integrations, configuring production environments, or setting up deployment pipelines. Trigger with phrases like "deploy apollo", "apollo production deploy", "apollo deployment pipeline", "apollo to production".
clay-prod-checklist
by Dicklesworthstone
Execute Clay production deployment checklist and rollback procedures. Use when deploying Clay integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "clay production", "deploy clay", "clay go-live", "clay launch checklist".
apollo-incident-runbook
by Dicklesworthstone
Apollo.io incident response procedures. Use when handling Apollo outages, debugging production issues, or responding to integration failures. Trigger with phrases like "apollo incident", "apollo outage", "apollo down", "apollo production issue", "apollo emergency".
dx-data-navigator
by pskoett
Query Developer Experience (DX) data via the DX Data MCP server PostgreSQL database. Use this skill when analyzing developer productivity metrics, team performance, PR/code review metrics, deployment frequency, incident data, AI tool adoption, survey responses, DORA metrics, or any engineering analytics. Triggers on questions about DX scores, team comparisons, cycle times, code quality, developer sentiment, AI coding assistant adoption, sprint velocity, or engineering KPIs.