51 boosters for "docker" — open source, verified from GitHub, ready to install
A skill booster that simplifies starting and stopping Docker-based test databases for local development, providing ready-to-use connection strings for PostgreSQL instances. Developers using Claude Code can quickly spin up isolated database environments without manual Docker commands.
Automates cleanup of JupyterHub Docker environments by stopping containers and removing orphaned resources. Ideal for data scientists and ML engineers managing local Jupyter development platforms who need to free up disk space and reset their environments.
A Windsurf rules configuration for managing task-driven development workflows in hospital job platform projects, enabling developers to streamline task creation, breakdown, and tracking through CLI commands and standardized processes.
A refactoring task booster that helps developers improve code quality by optimizing structure, naming, performance, and maintainability with before/after comparisons. Ideal for developers seeking to enhance existing codebases and establish better coding practices.
This booster generates comprehensive documentation for code, covering overview, API details, setup, usage guides, and technical specifications in well-formatted markdown. Developers working with Claude Code can use it to automate documentation generation and ensure consistent, thorough project documentation.
This booster automates the startup of a complete payment platform stack (Spring Boot, MySQL, ELK, monitoring) using Docker Compose with a single script command. It's ideal for developers who need to quickly spin up a local development environment for a Java-based payment processing application.
A Copilot prompt booster providing architectural patterns and configuration rules for managing a self-hosted homelab stack with Docker Swarm, Traefik, and integrated services. Ideal for developers building or maintaining complex multi-service home infrastructure.
"name": "claude-local-docs", "version": "1.0.23", "description": "Local-first Context7 alternative — indexes JS/TS dependency docs with a 4-stage RAG pipeline (vector + BM25 + RRF + cross-encoder reranking). Uses TEI Docker containers for GPU-accelerated embeddings and reranking.",
A Node.js MCP server that executes JavaScript code safely in isolated Docker containers with on-demand npm dependency installation. Developers and AI agents benefit from secure, sandboxed code execution capabilities integrated into Claude.
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.
A DevOps agent specialized in managing GCP infrastructure, Docker operations, and system troubleshooting—ideal for teams handling cloud deployments and containerized applications. Developers and DevOps engineers benefit from automated infrastructure management and debugging capabilities.
A specialized agent that provides advanced statistical analysis, data visualization, and predictive modeling capabilities for teams needing comprehensive data insights. Ideal for data scientists, business analysts, and development teams integrating data analysis workflows into larger systems.
The Strategic Queen Agent is a high-level orchestration agent that coordinates complex multi-agent workflows and enterprise decision-making across distributed systems. It benefits platform engineers and DevOps teams managing large-scale agent-based architectures who need centralized control and monitoring.
AlgoClash is a competitive platform where developers build and deploy autonomous AI trading agents that battle in simulated stock markets with live leaderboards and backtesting. It's useful for ML/AI engineers interested in algorithmic trading, agent design, and competitive benchmarking.
Docker Buildx enables multi-platform container image builds with advanced caching and CI integration for developers working with containerized applications. DevOps engineers and backend developers benefit most from optimized build pipelines across architectures.
A DevOps infrastructure agent that automates Docker, Kubernetes, AWS, and Terraform operations for deployment, configuration, scaling, and migration tasks. Ideal for infrastructure engineers and DevOps teams managing multi-cloud environments.
This MCP server enables Claude to manage Docker containers and services through Portainer, allowing developers to automate container operations directly from their AI assistant.
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 DevOps specialist agent that automates Docker containerization, CI/CD pipelines, cloud deployments, and infrastructure management across AWS/GCP/Azure. Essential for teams managing application infrastructure and deployment automation.
Enforces a Makefile-only automation policy for a TypeScript/React frontend project, prohibiting shell scripts and standardizing task orchestration for Docker integration. Developers working on the Bacalhau frontend repository benefit from consistent, traceable, and containerization-ready automation practices.
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.
Claude Flow is an enterprise-grade MCP server for orchestrating multi-agent AI workflows with swarm coordination and automation capabilities. It benefits developers building complex, distributed AI systems that require sophisticated agent coordination and workflow management.
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.
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.