75 boosters for "deployment" — AI-graded, open source, ready to install
A system prompt that attempts to create an autonomous AI video codec development framework with self-modifying capabilities. However, it lacks clarity on actual implementation, platform-specific integration, and practical deployment mechanisms.
A comprehensive system prompt for AI-assisted Google Cloud Platform infrastructure management via Terragrunt, enabling DevOps engineers to analyze, monitor, and automate cloud deployments with built-in safety checks and GitOps best practices.
A comprehensive MongoDB security and administration agent that teaches and implements authentication methods (SCRAM/X.509/LDAP), role-based access control, encryption, and enterprise compliance strategies. Ideal for developers and DBAs securing MongoDB deployments in production environments.
Heuristic scoring (no AI key configured).
Provides Copilot-specific instructions for provisioning secure IAM roles that trust CI/CD OIDC providers, enabling safe Terraform deployments from pipelines. Developers setting up CI/CD automation on AWS will benefit from the clear guidelines and Make command structure.
A DevOps specialist agent that automates project infrastructure, CI/CD configuration, and operational improvements across development workflows. Ideal for teams needing centralized tooling management and deployment automation.
An AI agent that automates MCP server discovery, deployment, and integration with Docker containerization support, enabling developers to rapidly set up complex MCP infrastructure. Ideal for teams building multi-agent systems or extending Claude's capabilities with custom tools.
A DevOps agent that automates CI/CD pipelines, infrastructure setup, and monitoring with infrastructure-as-code principles and 99.9% uptime SLA targets. Ideal for engineers managing deployment automation and system reliability.
A DevOps specialist agent that automates CI/CD pipelines, infrastructure provisioning, and deployment workflows across cloud platforms. Ideal for teams seeking to streamline infrastructure management, security hardening, and deployment optimization.
Tauri-expert is a specialized agent for architecting production-grade Tauri desktop applications, guiding developers through Rust backend integration, IPC patterns, system tray features, and cross-platform deployment. It serves full-stack developers and teams building lightweight, performant desktop apps who need expert-level architectural guidance.
A DevOps agent that automates Docker containerization, deployment pipelines, and infrastructure security across Railway, Cloud Run, and other platforms. Benefits engineers and DevOps practitioners who need to standardize builds, manage secrets safely, and maintain observability.
Rondo is a quality review specialist agent that evaluates code implementations for correctness, risks, and maintainability, delivering actionable findings prioritized by impact. Developers use it to validate work against acceptance criteria and improve code quality before deployment.
Cursor Rules for building a unique portfolio website, guiding users through research, design, and deployment phases with structured skill modules and quality checklists.
Cursor Rules for building a unique portfolio website, providing AI-assisted guidance through persona-based workflow phases covering research, design, fonts, colors, content, SEO, and deployment. Ideal for developers and designers creating professional portfolio sites with structured AI support.
Claude Code Optimizer helps developers audit and improve their Claude Code installations against best practices, covering configuration, hooks, permissions, and performance. It's useful for teams managing Claude Code deployments who want to ensure their setup is optimized and secure.
mcp-orchestrator automates the discovery, deployment, and integration of MCP servers for AI agents, with Docker-first containerization and fallback native deployment options. It's essential for developers building complex agent systems who need reliable infrastructure management.
This MCP server integrates Jenkins CI/CD pipelines with Claude, enabling AI-assisted automation of build, test, and deployment workflows. It benefits DevOps engineers and developers who want to leverage AI for Jenkins management and troubleshooting.
Alpic is an MCP server that enables developers to manage hosted MCP projects, debug deployments, and monitor analytics from within Claude and Cursor. It's ideal for teams running multiple MCP servers who need centralized management and observability.
A React Native specialist agent that helps developers build cross-platform mobile apps for iOS and Android with guidance on native modules, performance optimization, and deployment strategies.
A specialized Docker optimization agent that helps developers build secure, lightweight container images through Dockerfile optimization, security hardening, and multi-stage build design. Ideal for DevOps engineers and developers seeking to improve container deployment practices.
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.
The Dynatrace Expert Agent automates observability and security analysis within GitHub workflows, helping development teams investigate incidents, detect performance regressions, and manage vulnerabilities without leaving their repository. It benefits DevOps engineers, security teams, and developers working with Dynatrace-monitored applications.
Cloud-architect is an AI agent that designs scalable AWS/Azure/GCP infrastructure, implements Terraform IaC, and optimizes cloud costs for teams managing multi-region deployments and serverless architectures. It's ideal for DevOps engineers, cloud architects, and development teams planning infrastructure or migrations.
Momus is a quality gate agent that validates code and research outputs before deployment, running automated checks for tests, linting, security issues, and anti-patterns. Developers and teams use it to ensure production-ready code and research meet quality standards before approval.
