40 boosters for "pipelines" — open source, verified from GitHub, ready to install
"name": "encode-toolkit", "description": "20 ENCODE API tools + 47 expert skills for genomics research. Search experiments, download files with MD5 verification, run pipelines, and cross-reference 14 databases.", "name": "Dr. Alex M. Mawla, PhD",
"description": "Smart command safety filter for Claude Code — parses shell pipelines and evaluates per-command safety rules to auto-approve safe commands and block dangerous ones",
Cocode is a Windsurf rules booster that provides guidelines for writing and editing Pipelex pipelines, covering file naming, structure, and best practices for code repository analysis workflows.
Cocode provides GitHub Copilot users with comprehensive coding standards and best practices guidance, covering type hints, Pydantic models, documentation, and error handling to enforce consistent code quality across teams.
"name": "cre-skills", "description": "112 institutional-grade CRE skills covering ~97% of commercial real estate workflow steps. Deal screening, underwriting, structuring, due diligence, capital markets, market research, asset management, leasing, investor relations, development, disposition, sourci
"$schema": "https://plugins.claude.ai/schema/marketplace.json", "description": "Browser automation and AI agent skills for Notte. Run real cloud or local browsers, scrape JavaScript-rendered pages with Pydantic-typed output, drive multi-step workflows behind auth and captchas, and deploy any browser
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.
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.
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.
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.
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.
This MCP Server enables Claude to interact with Azure DevOps projects using simple PAT authentication, providing access to all 82 official Microsoft tools for managing pipelines, work items, repositories, and more. Developers and DevOps teams benefit by automating Azure DevOps workflows directly within Claude.
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.
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.
