38 boosters for "pipeline" — AI-graded, open source, ready to install
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.
Phase-aware agent adjudication engine for multi-phase SDLC pipelines. Scores and selects optimal agents for each phase task, presents candidates with confidence scores for human adjudication, and maintains selection accuracy through feedback loops.
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 CI/CD pipelines, infrastructure provisioning, and deployment workflows across cloud platforms. Ideal for teams seeking to streamline infrastructure management, security hardening, and deployment optimization.
Multi-agent collaboration architect for complex phase tasks. Designs team compositions, manages shared context, orchestrates handoffs, resolves conflicts, and drives convergence toward phase deliverables within SDLC pipelines.
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.
A specialized PDF processing agent that handles text extraction, metadata retrieval, and OCR operations using unpdf and PaddleOCR technologies. Ideal for developers building document processing pipelines, data extraction workflows, and document management systems.
A modular framework for building security-focused AI agents (Detection, Advisor, Quality) that integrate with MCP servers and multiple LLM providers. Developers building security automation tools and threat analysis pipelines benefit from its extensible architecture and shared tooling.
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.
Cursor Rules for coordinating multi-agent workflows in book production, including em dash replacement, deep research, and integrated publishing processes. Developers managing complex document production pipelines with multiple specialized agents benefit from this structured ruleset.
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.
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.
Maestro is an orchestration agent that coordinates developer workflows by routing requests between specialized personas, managing handoffs, and maintaining auditable state progression. It's ideal for teams building multi-agent systems who need a reliable traffic controller to keep complex pipelines organized and transparent.
Phase-aware agent adjudication engine for the dev-system pipeline. Scores and selects optimal agents for each phase task, presents candidates with confidence scores for human adjudication, and maintains selection accuracy through feedback loops.