DevOps

'Master of defensive Bash scripting for production automation, CI/CD

Cloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development.

Implements infrastructure as code using Terraform, Kubernetes, and cloud platforms. Designs scalable architectures, CI/CD pipelines, and observability solutions. Provides security-first DevOps practices and site reliability engineering guidance.

Docker containerization expert with deep knowledge of multi-stage builds, image optimization, container security, Docker Compose orchestration, and production deployment patterns. Use PROACTIVELY for Dockerfile optimization, container issues, image size problems, security hardening, networking, and orchestration challenges.

Inspect GitHub PR checks with gh, pull failing GitHub Actions logs, summarize failure context, then create a fix plan and implement after user approval. Use when a user asks to debug or fix failing PR CI/CD checks on GitHub Actions and wants a plan + code changes; for external checks (e.g., Buildkite), only report the details URL and mark them out of scope.

Use when the user wants to create, generate, or set up a GitHub Actions workflow. Handles CI/CD pipelines, testing, deployment, linting, security scanning, release automation, Docker builds, scheduled tasks, and any custom workflow for any language or framework.

Automate GitHub workflows with AI assistance. Includes PR reviews, issue triage, CI/CD integration, and Git operations. Use when automating GitHub workflows, setting up PR review automation, creating GitHub Actions, or triaging issues.

Plans, creates, and configures production-ready Google Kubernetes Engine (GKE) clusters using the golden path Autopilot configuration. Covers networking, security, observability, scaling, cost optimization, and AI/ML inference on GKE.

Comprehensive guidance for creating, organizing, and managing Helm charts for packaging and deploying Kubernetes applications.

Comprehensive k6 load testing skill for API, browser, and scalability testing. Write realistic load scenarios, analyze results, and integrate with CI/CD.

Expert Kubernetes architect specializing in cloud-native infrastructure, advanced GitOps workflows (ArgoCD/Flux), and enterprise container orchestration.

Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.

Expert Terraform/OpenTofu specialist mastering advanced IaC automation, state management, and enterprise infrastructure patterns.

Production deployment for PocketBase. Use when deploying PocketBase to a server, setting up Docker, configuring systemd, reverse proxy (nginx/Caddy), TLS, SMTP, backups, S3 storage, rate limiting, or hardening for production. Provides ready-to-use configs.

Deploy code to Railway using "railway up". Use when user wants to push code, says "railway up", "deploy", "ship", or "push". For initial setup or creating services, use railway-new skill. For Docker images, use railway-environment skill.

Check service status, rename services, change service icons, link services, or create services with Docker images. For creating services with local code, prefer railway-new skill. For GitHub repo sources, use railway-new skill to create empty service then railway-environment skill to configure source.

Detect and remediate software supply chain attacks in npm, PyPI, crates.io, GitHub Actions, and CI/CD pipelines by scanning for known compromised packages, malicious versions, filesystem IOCs, C2 indicators, and CI/CD misconfigurations.

Automate GitHub repositories, issues, pull requests, branches, CI/CD, and permissions via Rube MCP (Composio). Manage code workflows, review PRs, search code, and handle deployments programmatically.

Complete guide to implementing GitOps workflows with ArgoCD and Flux for automated Kubernetes deployments.

Automate GitHub repositories, issues, pull requests, branches, CI/CD, and permissions via Rube MCP (Composio). Manage code workflows, review PRs, search code, and handle deployments programmatically.

Deploy status across all projects. Shows ECS service versions, Vercel deployments, recent deploys, pending deploys, and CI/CD pipeline state.

Extend OpenTelemetry instrumentation when new functionality is added to the MCP Gateway. Use when (1) new operations/functions are added, (2) reviewing code for missing instrumentation, (3) user requests otel/telemetry additions, or (4) working with state-changing operations. Analyzes git diff, suggests instrumentation points following project standards in docs/telemetry/README.md, implements with approval, writes tests, updates documentation, and verifies with debug logging and docker logs.

Use CircleCI Chunk for AI-assisted CI/CD work through either the Chunk web UI or the chunk-cli. Trigger this skill when users ask to set up Chunk, troubleshoot or fix failing builds with Chunk, configure Chunk environments, schedule/proactively run Chunk tasks, or use chunk-cli commands such as init, validate, build-prompt, auth, sandbox, task, and skill install.

Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

Build sandboxed applications for secure code execution. Load when building AI code execution, code interpreters, CI/CD systems, interactive dev environments, or executing untrusted code. Covers Sandbox SDK lifecycle, commands, files, code interpreter, and preview URLs. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

Helps understand and write EAS workflow YAML files for Expo projects. Use this skill when the user asks about CI/CD or workflows in an Expo or EAS context, mentions .eas/workflows/, or wants help with EAS build pipelines or deployment automation.

This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks. Should be invoked for tasks involving cloud compute, GPU workloads, or when users mention running jobs on Hugging Face infrastructure without local setup.

Vercel deployment and CI/CD expert guidance. Use when deploying, promoting, rolling back, inspecting deployments, building with --prebuilt, or configuring CI workflow files for Vercel.

Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.

Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.

Use this skill when the user wants to audit a repository for baseline compliance, check code quality, security posture, CI/CD setup, testing, documentation, and ecosystem configuration. Runs 9 checklist categories and emits a Markdown report plus JSON sidecar at .orchestrator/metrics/repo-audit-<timestamp>.json. <example>Context: User is in a project repo and wants a baseline compliance check. user: "/repo-audit" assistant: "Running repo-audit across 9 categories — Configuration, Code Quality, Git Hygiene, CI/CD, Testing, Security, Documentation, Clank Integration (optional), and MCP Configuration. Will produce a Markdown checklist report and JSON sidecar." <commentary>The user wants a compliance check; this skill is appropriate because it runs all 9 categories with pass/fail/warn/skipped statuses and writes structured output.</commentary></example>

Unified platform operations guidance for CI/CD pipeline design, deployment strategies, observability, SLI/SLOs, and incident-ready rollouts. Use when building release workflows, production monitoring, or reliability controls.

Systematic CI/CD failure diagnosis with hypothesis-first approach, environment delta analysis, and anti-patterns. Use when CI fails, pipelines break, or the user says "CI is failing", "build broke", "pipeline error", or "tests pass locally but fail in CI".

Audit Docker images and Dockerfiles for security vulnerabilities, bloat, and best-practice violations using hadolint, Trivy, and Grype. Produces a structured severity report with actionable fixes. Use this skill whenever the user wants to check a Docker image for security issues, scan a container for vulnerabilities, audit a Dockerfile, harden a Docker image, reduce image size, minimize attack surface, check for CVEs in a container, or says things like "is this Dockerfile secure?", "scan my image", "check my container for vulnerabilities", "how can I make this image smaller?", "audit my Docker setup", or "harden this container". Also trigger when the user has just created or modified a Dockerfile and wants validation before shipping it.

Generate production-ready Dockerfiles from project source code. Detects language/framework automatically and produces multi-stage builds with minimal, distroless, or slim base images. Use this skill whenever the user wants to containerize an application, create a Dockerfile, dockerize a project, build a Docker image, or says things like "make this run in Docker", "create a container for this app", "I need a Dockerfile", "package this for deployment", or "containerize this service". Also trigger when the user has an existing Dockerfile and wants it rewritten for production use, or when they ask about Docker best practices for their project.

Use when setting up CI/CD, implementing versioning, optimizing workflows, or managing releases with monorepo development workflows including version management, publishing, and team collaboration practices.

View CI/CD pipeline status for a merge request or project

Use when configuring Docker environments for act, selecting runner images, managing container resources, or troubleshooting Docker-related issues with local GitHub Actions testing.

Use when testing GitHub Actions workflows locally with act. Covers act CLI usage, Docker configuration, debugging workflows, and troubleshooting common issues when running workflows on your local machine.

Use when defining and running multi-container Docker applications with Docker Compose YAML configuration.

Use when configuring networks and service communication in Docker Compose including bridge networks, overlay networks, service discovery, and inter-service communication.

Use when deploying Docker Compose applications to production including security hardening, resource management, health checks, logging, monitoring, and high-availability patterns.

Use when optimizing GitLab CI/CD pipelines for performance, reliability, or maintainability. Covers pipeline optimization and organizational patterns.

Use when configuring GitLab CI/CD pipelines, defining stages, or setting up workflow rules. Covers pipeline structure, stage ordering, and execution flow.

Use when configuring GitLab CI/CD variables, managing secrets, or integrating with external secret providers. Covers secure credential handling.

Use when understanding and creating Helm charts for packaging and deploying Kubernetes applications.

Use when working with Helm templates and template functions for generating Kubernetes manifests dynamically.

Use when managing Helm values files and configuration overrides for customizing Kubernetes deployments.

Use when writing and deploying Kubernetes manifests for container orchestration.

Use when managing Kubernetes resources including deployments, services, configmaps, and secrets.

Use when implementing Kubernetes security best practices including RBAC, pod security policies, and network policies.

Use when customizing Kubernetes configurations without templates using Kustomize overlays and patches.

Use when generating ConfigMaps and Secrets with Kustomize for Kubernetes configuration management.

Use when managing environment-specific Kubernetes configurations with Kustomize overlays and patches.

Use when writing and organizing Terraform infrastructure-as-code configurations for cloud resource provisioning.

Use when creating and using reusable Terraform modules for organizing and sharing infrastructure code.

Use when integrating Ameba into development workflows including CI/CD pipelines, pre-commit hooks, GitHub Actions, and automated code review processes.

Use when integrating Dialyzer into development workflows and CI/CD pipelines for Erlang/Elixir projects.

Integrate markdownlint into development workflows including CLI usage, programmatic API, CI/CD pipelines, and editor integration.

Use when prettier integration with editors, pre-commit hooks, ESLint, and CI/CD pipelines.