DevOps & Cloud skills

Design and implement a complete ML pipeline for: $ARGUMENTS

Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.

Deploy applications and websites to Vercel. Use this skill when the user requests deployment actions such as "Deploy my app", "Deploy this to production", "Create a preview deployment", "Deploy and give me the link", or "Push this live". No authentication required - returns preview URL and claimable deployment link.

Expert hybrid cloud architect specializing in complex multi-cloud

Send SMS messages with Azure Communication Services SMS Java SDK. Use when implementing SMS notifications, alerts, OTP delivery, bulk messaging, or delivery reports.

You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, C

Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.

Build production-ready monitoring, logging, and tracing systems.

Configure secure, high-performance connectivity between on-premises infrastructure and cloud platforms using VPN and dedicated connections. Use when building hybrid cloud architectures, connecting data centers to cloud, or implementing secure cross-premises networking.

Use when working with incident response incident response

Build call automation workflows with Azure Communication Services Call Automation Java SDK. Use when implementing IVR systems, call routing, call recording, DTMF recognition, text-to-speech, or AI-powered call flows.

Expert SRE incident responder specializing in rapid problem

[Extended thinking: This workflow implements a sophisticated debugging and resolution pipeline that leverages AI-assisted debugging tools and observability platforms to systematically diagnose and res

Specialized skill for building production-ready serverless applications on GCP. Covers Cloud Run services (containerized), Cloud Run Functions (event-driven), cold start optimization, and event-driven architecture with Pub/Sub.

Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.

Expert C4 Container-level documentation specialist. Synthesizes

A fast, lightweight MCP server for Sentry, written in Rust. Compared to the official Node.js server: - Memory: 10x less RAM usage - Startup: instant cold start - Disk: single binary, no runtime dependencies - Tokens: fewer tools = smaller tool list in context This MCP server provides tools to interact with Sentry's API: - getissuedetails - Retrieve detailed information about a Sentry issue includi

Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use when architecting deployment workflows, setting up continuous delivery, or implementing GitOps practices.

Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.

Metorial (YC F25) The open source integration platform for agentic AI. Connect any AI model to thousands of APIs, data sources, and tools with a single function call. Metorial enables AI agent developers to easily connect their models to a wide range of APIs, data sources, and tools using the Model Context Protocol (MCP). Metorial abstracts away the complexities of MCP and offers a simple, unified

Expert in monorepo architecture, build systems, and dependency management at scale. Masters Nx, Turborepo, Bazel, and Lerna for efficient multi-project development. Use PROACTIVELY for monorepo setup,

The AgentMail Toolkit integrates popular agent frameworks and protocols including OpenAI Agents SDK, Vercel AI SDK, and Model Context Protocol (MCP) with the AgentMail API. See the Python and Node packages for language specific setup and usage.

Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.

Lightweight logging & observability for agent work across clients (Codex, Claude, Cursor, ChatGPT, OpenClaw, and others). - One MCP tool (logwork) that aggregates work done across different agents for single or multiple users. - Define your own logging structure with custom schemas (or use built-in profiles) once, and the MCP schema will guide clients to log with correct payloads. - This lets team