devops
Provides comprehensive DevOps guidance including CI/CD pipeline design, infrastructure as code (Terraform, CloudFormation, Bicep), container orchestration (Docker, Kubernetes), deployment strategies (blue-green, canary, rolling), monitoring and observability, configuration management (Ansible, Chef, Puppet), and cloud platform automation (AWS, GCP, Azure). Produces deployment scripts, pipeline configurations, infrastructure code, and operational procedures. Use when designing CI/CD pipelines, automating infrastructure, containerizing applications, setting up monitoring, implementing deployment strategies, managing configurations, or when users mention DevOps, CI/CD, infrastructure automation, Kubernetes, Docker, Terraform, deployment, monitoring, or cloud operations.
What this skill does
# DevOps ## Core Capabilities Provides expert guidance covering the entire software delivery lifecycle: 1. **CI/CD Pipeline Design** - Automated build, test, and deployment workflows 2. **Infrastructure as Code** - Cloud resource provisioning with Terraform, CloudFormation, Bicep 3. **Container Orchestration** - Docker and Kubernetes deployment patterns 4. **Deployment Strategies** - Blue-green, canary, and rolling deployments 5. **Monitoring & Observability** - Metrics, logging, alerting with Prometheus, Grafana, ELK 6. **Configuration Management** - Ansible, Chef, Puppet automation 7. **Security & Compliance** - DevSecOps practices and container security ## Best Practices ## CI/CD - Keep pipelines fast (< 10 minutes for feedback) - Fail fast with quick tests first - Use pipeline as code (version controlled) - Implement proper secret management - Enable artifact caching and parallelize independent jobs ### Infrastructure as Code - Use remote state with locking - Create reusable modules and pin versions - Always review plan before apply - Implement proper tagging strategy - Document resource dependencies ### Container Orchestration - Set resource requests and limits - Implement health checks (liveness/readiness probes) - Use pod anti-affinity for high availability - Enable horizontal pod autoscaling - Implement proper logging and monitoring ### Deployment - Use rolling updates with zero downtime - Implement proper health checks and rollback capabilities - Use canary/blue-green for critical applications - Test thoroughly in staging environments - Monitor post-deployment metrics ### Security - Run containers as non-root with read-only root filesystems - Scan images for vulnerabilities regularly - Implement network policies and secrets management - Enable pod security standards and least privilege access ### Monitoring - Collect metrics using RED/USE methods - Implement structured logging with meaningful alerts - Create actionable dashboards and monitor SLIs/SLOs - Set up distributed tracing for microservices ## Detailed References Load reference files based on specific needs: - **CI/CD Pipeline Design**: See [cicd-pipeline-design.md](references/cicd-pipeline-design.md) for: - GitHub Actions, GitLab CI, Jenkins pipeline examples - Automated build, test, deploy workflow patterns - Pipeline optimization and caching strategies - **Infrastructure as Code**: See [infrastructure-as-code.md](references/infrastructure-as-code.md) for: - Terraform, CloudFormation, Bicep patterns - AWS, GCP, Azure resource provisioning - Module design and state management - **Container Orchestration**: See [container-orchestration.md](references/container-orchestration.md) for: - Kubernetes manifests, Helm charts, Kustomize - Docker best practices and multi-stage builds - Service mesh and networking patterns - **Deployment Strategies**: See [deployment-strategies.md](references/deployment-strategies.md) for: - Blue-green deployment implementation - Canary release patterns with traffic splitting - Rolling update strategies and rollback procedures - **Monitoring & Observability**: See [monitoring-and-observability.md](references/monitoring-and-observability.md) for: - Prometheus, Grafana setup and configuration - ELK stack deployment and log aggregation - Alert rules, dashboards, and SLO definitions - **Security Best Practices**: See [security-best-practices.md](references/security-best-practices.md) for: - DevSecOps pipeline integration - Container security scanning and hardening - Secret management and compliance validation - **Configuration Management**: See [configuration-management.md](references/configuration-management.md) for: - Ansible playbooks, Chef recipes, Puppet manifests - Server configuration automation patterns - Infrastructure drift detection - **Common Commands**: See [common-commands.md](references/common-commands.md) for: - Kubernetes kubectl command reference - Docker CLI operations - Terraform and cloud provider CLI commands - **Troubleshooting**: See [troubleshooting-guide.md](references/troubleshooting-guide.md) for: - Common issues and resolution steps - Debugging techniques for containers and orchestration - Performance optimization strategies
Related in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context — no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
IncludedUser-triggered deep architectural analysis of a codebase or scoped subtree across eight modes — information architecture, data flow, integration points, UI surfaces, interaction patterns, data model, control flow, and failure modes. This skill should be used when the user asks to "diagram this codebase," "map the architecture," "show the data flow," "give me an ERD," "trace control flow," "find the integration points," "verify the layout pattern," "audit the UX architecture," or any similar request whose primary deliverable is mermaid diagrams plus cited reports under docs/architecture/. Dispatches haiku/sonnet sub-agents in parallel for per-mode exploration, then verifies every citation mechanically before any node lands in a diagram. Not for one-off prose explanations of code (use code-explanation) or for high-level system design from scratch (use system-design).
mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
IncludedDesign, build, debug, and optimise high-polish animated graphics in React Native or Expo using @shopify/react-native-skia, Reanimated, and Gesture Handler. Use when the user wants canvas-driven UI, shaders, paths, rich text, image filters, sprite fields, Skottie, video frames, snapshots, web CanvasKit setup, or performance tuning for custom motion-heavy elements such as loaders, hero art, cards, charts, progress indicators, particle systems, or gesture-driven surfaces. Also use when the user asks for fluid, glow, glass, blob, parallax, 60fps/120fps, or GPU-friendly animated effects in React Native, even if they do not explicitly say "Skia". Do not use for ordinary form/layout work with standard views.
plaid
IncludedProduct Led AI Development — guides founders from idea to launched product. Six capabilities: Idea (discover a product idea), Validate (pressure-test the idea against fatal flaws, problem reality, competition, and 2-week MVP feasibility), Plan (vision intake + document generation), Design (translate image references into a design.md spec), Launch (go-to-market strategy), and Build (roadmap execution). Use when someone says "PLAID", "plaid idea", "help me find an idea", "product idea", "idea from my business", "idea from my expertise", "plaid validate", "validate my idea", "pressure-test", "is this idea good", "find fatal flaws", "validate the problem", "plan a product", "define my vision", "generate a PRD", "product strategy", "plaid design", "design from image", "translate image to design", "create design.md", "extract design tokens", "plaid launch", "go-to-market", "launch plan", "GTM strategy", "launch playbook", "plaid build", "build the app", "start building", or "execute the roadmap".
nextjs-framer-motion-animations
IncludedAdds production-safe Motion for React or Framer Motion animations to Next.js apps, including reveal, hover and tap micro-interactions, whileInView, stagger, AnimatePresence, layout and layoutId transitions, reorder, scroll-linked UI, and lightweight route-content transitions. Use when the user asks to add, refactor, or debug Motion or Framer Motion in App Router or Pages Router codebases, especially around server/client boundaries, reduced motion, LazyMotion, bundle size, hydration, or route transitions. Avoid for GSAP-style timelines, WebGL or 3D scenes, heavy scroll storytelling, or CSS-only effects unless Motion is explicitly requested.