63 boosters for "pipeline" — open source, verified from GitHub, ready to install
Automates configuration of container image registries (ghcr.io, Docker Hub, Harbor) with vulnerability scanning, image signing, and retention policies for secure CI/CD pipelines. Essential for DevOps engineers and platform teams managing containerized applications at scale.
An ML engineer agent that handles end-to-end production ML workflows including model serving, feature engineering, A/B testing, and monitoring for TensorFlow/PyTorch deployments. Ideal for teams building scalable ML systems who need guidance on MLOps best practices and production readiness.
A multi-agent orchestration system that designs team compositions, manages shared context, and resolves conflicts to drive complex development tasks toward completion. Ideal for teams needing coordinated AI agents across multiple phases of development workflows.
Infrastructure Specialist Droid that proactively manages CI/CD pipelines, build tooling, and deployment configurations with autonomous access to Linear, Exa Search, and code execution tools. Essential for DevOps engineers and backend teams automating infrastructure workflows.
A versatile AI agent that provides expert guidance across data engineering, machine learning, MLOps, and generative AI workflows—ideal for developers building production ML systems, data pipelines, and AI applications.
A multi-agent orchestration system that designs team compositions, manages shared context, and resolves conflicts to drive complex development tasks toward completion. Ideal for teams tackling large-scale, multi-phase projects requiring coordinated agent workflows.
A Cursor rules booster that establishes a structured software development workflow with mandatory documentation practices (changelogs, task tracking) and code quality standards (SOLID, code review, linting). Ideal for teams wanting to enforce disciplined development processes within Cursor.
Quinn is a senior DevOps & security engineer agent that guides teams through deployment pipelines, CI/CD automation, secrets management, Docker containerization, and security hardening. Ideal for developers and DevOps engineers building reliable, secure release workflows.
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 multi-agent orchestration system that designs team compositions, manages shared context, and coordinates handoffs to drive complex SDLC phase deliverables to completion. Teams building large-scale software projects benefit from its conflict resolution and convergence mechanisms.
A specialized MongoDB/Mongoose agent that designs database schemas, optimizes queries, creates indexes, and builds aggregation pipelines for data engineers. Developers building Node.js applications with MongoDB can use this to accelerate data modeling and query optimization tasks.
An intelligent agent selection engine that evaluates and recommends the best AI agents for each phase of a development pipeline, enabling teams to optimize task assignment with confidence scoring and human oversight. Benefits development teams managing multi-agent workflows who need data-driven agent selection and performance tracking.
This MCP server enables AI agents to perform essential image operations like resizing, converting, and compressing images through a unified pipeline. It's useful for developers integrating image processing capabilities into Claude-based applications.
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.
An intelligent agent selection system that evaluates and ranks AI agents for different SDLC phases, enabling teams to automatically match optimal agents to tasks with confidence scoring and human oversight. Ideal for organizations managing multi-phase software development pipelines with diverse agent capabilities.
