56 boosters for "cloud" — AI-graded, open source, ready to install
A security-focused agent that guides developers through application security, authentication, authorization, and compliance best practices for cloud-native applications. Ideal for teams building secure AI applications who need expert security guidance integrated into their development workflow.
Mcp Impresario enables Claude to execute code remotely on any SSH server, seamlessly extending Claude's capabilities to interact with external infrastructure. This is valuable for developers and AI agents needing to run tasks on remote machines, cloud instances, or local servers.
Enables AI agents to register and manage a persistent email address (name@rhobot.dev) for receiving, reading, and replying to messages via REST API. Useful for agents that need email communication capabilities without external service dependencies.
This Windsurf rules booster provides a structured framework for bootstrapping secure AWS IAM roles for GitHub Actions OIDC integration, eliminating static credentials and enforcing least-privilege access through automated CloudFormation templates. It's ideal for DevOps engineers and security-conscious teams managing multiple GitHub repositories with AWS infrastructure.
Copilot instructions for nanocloud, a mini cloud storage app built with Express, React, and AWS S3. Helps developers working on the Cloudrave internship project navigate architecture, authentication, file upload flows, and environment configuration.
A Cursor IDE rules guide for CloudBase AI development that enforces scenario-based best practices across web, mini-program, database, and UI projects. Primarily beneficial for teams using CloudBase/Tencent Cloud within Cursor editor.
A Kubernetes specialist agent that provides expert guidance on container orchestration, cluster management, and cloud-native deployments. DevOps engineers and platform teams benefit from access to comprehensive Kubernetes knowledge across the entire ecosystem.
This system prompt enables smaller LLMs (8B-20B parameters) to control Windows 11 desktops through the Model Context Protocol, automating desktop tasks via natural language. It's valuable for developers building AI agents, automation workflows, and users seeking lightweight local alternatives to cloud-based desktop controllers.
