iflow
iFlow es un agente de procesos de flujo de trabajo que se utiliza para automatizar y optimizar procesos
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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
Habilidades Disponibles
462 habilidades disponibles
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
Un flujo de trabajo Git para AI Agent es un conjunto de reglas y herramientas para gestionar el código y la colaboración
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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
Resumen localizado: # 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
Resumen localizado: 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
Resumen localizado: 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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