iflow
iFlow - это ИИ Агент, который выполняет задачи по проектированию процесса и настройке CI/CD
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DevOps & Cloud
Top DevOps and cloud skills for deployment, infrastructure, Docker, Kubernetes, and CI/CD workflows.
This directory brings installable AI Agent skills into one place so you can filter by search, category, topic, and official source, then install them directly into Claude Code, Cursor, Windsurf, and other supported environments.
LIVE
462
Доступные навыки
462 доступные навыки
build
Build salt-dev Docker container images (base and devtools) via buildx with the salt-8cpu builder. Creates the builder if missing.
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local-deploy
Serve MarkdownViewer-web-pro locally for testing. Use when the user says /localdeploy, asks to test locally, run a local server, or preview before pushing.
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git-workflow
Поток работы Git - это набор правил и практик для управления исходным кодом в проектах разработки программного обеспечения для ИИ Агентов
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nextjs-best-practices
Next.js App Router principles. Server Components, data fetching, routing patterns.
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find-skills
Curated DJ set streaming platform with AI-powered tracklist detection and community annotations. Built on Cloudflare Workers, R2, D1, and Workers AI.
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dot-ai
Headlamp plugin for dot-ai - AI-powered Kubernetes operations
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h3
A collection of low-level and high-level, server-agnostic, Authentication and Authorization utilities.
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sandstorm
Локализованное описание: # Sandstorm — MCP Tools Reference Sandstorm manages isolated Docker agent stacks. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.
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mqtt-development
Локализованное описание: Fully Modular Sensor Network # MQTT Development Skill Architektur: Server-Centric. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.
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confluence-expert
Локализованное описание: Universal Full-Stack SaaS Production Framework — 265 Autonomous Business Agents Clone. It covers ai-agents, claude-code, devops workflows. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.
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MCP Builder
Comprehensive guide for building production-ready MCP (Model Context Protocol) servers. Covers both FastMCP (Python) and MCP SDK (Node/TypeScript) implementations with practical examples, best practices, error handling, testing strategies, security guidelines, and real-world integration patterns.
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