102 boosters for "pip" — 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.
Self-configuring content creation pipeline. Creates SEO & GEO-optimized content matched to your project and brand voice, then validates with geo-lint until clean. For project-specific rules (components, file naming, categories), the skill
"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 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.
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.
"description": "Token-efficient vibe-coding pipeline with hard guardrails: brainstorm, plan, isolate, exec, verify, review, integrate. Halts on 'Expected' mismatches instead of committing bad work.", "subagent-orchestration", "skills": "./skills/",
"name": "enterprise-team", "displayName": "Enterprise Team - Hire a Whole Company", "description": "Complete virtual company with 76 specialized AI agents across Engineering, Product, Infrastructure, Data, Security, Marketing, Sales, Finance, Legal, and People. Pipeline modes (Full/Sprint/Micro), De
"name": "claude-dev-kit", "description": "PRD-driven AI dev team control plane for Claude Code — agents, skills, and a GitHub-first sprint workflow.", "author": { "name": "claude-dev-kit" }
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "orchestra-marketplace", "description": "Agent skills for diagnosing, fixing, triaging, and authoring Orchestra data pipelines, plus dbt Slim CI setup, Snowflake quality tests, and best-practice account reviews.",
"name": "cre-skills", "description": "112 institutional-grade CRE skills covering ~97% of commercial real estate workflow steps. Deal screening, underwriting, structuring, due diligence, capital markets, market research, asset management, leasing, investor relations, development, disposition, sourci
"$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
"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.",
"name": "claude-apd", "description": "Agent Pipeline Development — enforced multi-agent pipelines with mechanical guardrails", "name": "Zoran Stevovic"
Pipeshub MCP Server is a local Model Context Protocol server that integrates Pipeshub's functionality with Claude Desktop and Claude Code, enabling developers to access pipeline and API management tools directly within their AI coding environment.
"name": "claude-kit", "description": "Configuration factory for Claude Code — 16 skills, 7 agents, 15 stacks, 6 hooks, audit scoring (0-10), and practices pipeline. Bootstrap, sync, audit any project.", "name": "Luis Eiman",
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.
mybin is a personal collection of 65+ production-ready CLI utility scripts (Python, Bash, Ruby) for AI/LLM integration, system utilities, and development tasks that Claude Code can proactively leverage. Developers with Unix-style workflows and frequent CLI automation needs benefit from instant access to tested, reusable tools.
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 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 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.
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.
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 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.
