Cloud, CI/CD, monitoring, and deployment (7.2K skills)
Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).
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Provides expert guidance on authenticating and authorizing to Google Cloud services and APIs, covering human users, service identities, Application Default Credentials (ADC), and best practices for secure access.
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Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs, NAT, firewall, or threat logs, querying latency and throughput metrics, or running Connectivity Tests for path diagnostics.
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Score, monitor, and troubleshoot AI agent fleets in production. Built for ops teams running 1-100+ agents.
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Inspect reviewed Grafana infrastructure evidence for host or fleet CPU usage, memory load, disk space, and system load. Use for server-health checks, capacity symptoms, resource saturation, disk pressure, cloud or local host comparisons, and bounded infrastructure triage.
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Prepare, submit and reconcile reviewed Fusion Automation jobs with exact sources, scoped authorization and explicit budgets. Not for arbitrary model-generated cloud scripts.
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Guide setup for and verify a reviewed, read-only Grafana Observability profile and its activated capability packs. Use when a user asks to set up Grafana access, verify profile readiness, discover available infrastructure, APM, log, IoT or business KPI packs, or troubleshoot why a Grafana pack cannot run.
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Use when authoring or reviewing CI/CD pipelines — GitHub Actions workflows, reusable workflows, composite actions, OIDC federation to AWS/GCP, caching, artifacts, and pipeline security hardening. Triggers on edits to .github/workflows/**, action.yml, composite action definitions, or mentions of "CI", "CD", "pipeline", "GitHub Actions", "workflow", "OIDC", "runner", "deploy script", "release", or "build pipeline".
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Maintain SESSION-STATE.md, the durable within-session memory that survives context compaction. Use when a constraint, settled decision, existing-infrastructure (survey) finding, or open thread must persist across a long session so it is not re-derived or re-litigated. Triggers on /state, "remember this for the session", "record this constraint/decision", or after surveying what already exists. For cross-session/personal memory use .claude/memory/ on Claude or native memories on Codex; for repo-derivable facts, do not record at all.
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Skill for building with the Astro web framework. Helps create Astro components and pages, configure SSR adapters, set up content collections, deploy static sites, and manage project structure and CLI commands. Use when the user needs to work with Astro, mentions .astro files, asks about static site generation (SSG), islands architecture, content collections, or deploying an Astro project.
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Deep knowledge about deploying applications to Google Cloud Platform (Cloud Run, App Engine, Compute Engine).
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Deep knowledge about deploying applications to Netlify (static sites, edge functions, serverless functions).
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Deep knowledge about deploying applications to Kubernetes clusters using kubectl, helm, and manifests.
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Deep knowledge about building and pushing container images to Docker registries (DockerHub, GHCR, ECR, GCR).
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Deep knowledge about deploying applications to Coolify (self-hosted PaaS).
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Deep knowledge about deploying applications to Cloudflare (Pages, Workers, Wrangler).
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Generate deployment configuration files (Dockerfile, vercel.json, wrangler.toml, etc.) based on target type.
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Route deployment tasks to the right library skill. Detects intent and returns specific platform skill file paths to load.
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Deep knowledge about deploying applications to Railway (PaaS, Docker, Nixpacks).
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Deep knowledge about deploying applications to AWS (EC2, ECS, S3, CloudFront, Cloud Run).
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Deep knowledge about deploying applications to Fly.io (MicroVMs, Docker).
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Deep knowledge about deploying applications to Baremetal servers or Virtual Private Servers (VPS) using SSH, SCP, Rsync, and PM2/Systemd.
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Deep knowledge about deploying applications to Vercel (Next.js, static sites, edge functions).
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Sync zen-ui plugin to local Home Assistant. Use when user asks to sync, deploy, or push to HA.
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