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Found 222 Skills
Manage Railway deployments - view logs, redeploy, restart, or remove deployments. Use for deployment lifecycle (remove, stop, redeploy, restart), deployment visibility (list, status, history), and troubleshooting (logs, errors, failures, crashes). NOT for deleting services - use railway-environment skill with isDeleted for that.
Prometheus/Grafana metrics analysis and PromQL queries. Use when investigating latency, error rates, resource usage, or any time-series metrics.
Platform9 integration. Manage data, records, and automate workflows. Use when the user wants to interact with Platform9 data.
Monitors awesome-copilot releases for drift against the amplihack integration. Checks latest commits on github/awesome-copilot via the GitHub API and reports whether the local integration is current or has drifted behind upstream changes. Use when auditing integration freshness or before updating awesome-copilot features.
Work with Dynatrace dashboards - create, modify, query, and analyze dashboard JSON including tiles, layouts, DQL queries, variables, and visualizations. Supports dashboard creation, updates, data extraction, structure analysis, and best practices.
Waydev integration. Manage data, records, and automate workflows. Use when the user wants to interact with Waydev data.
GitHub Actions integration. Manage data, records, and automate workflows. Use when the user wants to interact with GitHub Actions data.
Set up and run experiments in LaunchDarkly. Create experiments with metrics and treatments, start iterations to collect data, and monitor results.
Search and deploy services from Railway's template marketplace. Use when user wants to add a service from a template, find templates for a specific use case, or deploy tools like Ghost, Strapi, n8n, Minio, Uptime Kuma, etc. For databases (Postgres, Redis, MySQL, MongoDB), prefer the railway-database skill.
This skill should be used when users need to interact with Kubernetes clusters via kubectl CLI. It covers pod management, deployment operations, log viewing, debugging, resource monitoring, scaling, ConfigMaps, Secrets, Services, and all standard kubectl operations. Supports multiple clusters (production, staging, local k3s) with predefined aliases. Triggers on requests mentioning Kubernetes, k8s, pods, deployments, containers, or cluster operations.
This skill should be used when users need to manage GitOps deployments via ArgoCD CLI. It covers application sync, rollback, status checking, refresh, and deployment history. Integrates with Kargo for progressive delivery. Triggers on requests mentioning ArgoCD, GitOps, application sync, deployment status, or rollback operations.
Provides comprehensive guidance for Jenkins CI/CD including pipeline creation, job configuration, plugins, and automation. Use when the user asks about Jenkins, needs to set up CI/CD pipelines, configure Jenkins jobs, or automate build and deployment processes.