27 boosters for "production-ready" — open source, verified from GitHub, ready to install
"name": "everything-claude-code", "version": "1.10.0", "description": "Battle-tested Claude Code plugin for engineering teams — 38 agents, 156 skills, 72 legacy command shims, production-ready hooks, and selective install workflows evolved through continuous real-world use",
Automates translation of Figma designs into production-ready code with pixel-perfect visual accuracy using the Figma MCP workflow. Ideal for developers and designers who need to implement designs quickly while maintaining design fidelity.
The 'harden' booster helps developers make their interfaces production-ready by systematically addressing error handling, internationalization, text overflow, and edge cases. It's ideal for teams building robust web applications that need to handle real-world usage scenarios.
The most comprehensive open-source library of Claude Code skills and agent plugins — also works with OpenAI Codex, Gemini CLI, Cursor, and 7 more coding agents. Reusable expertise packages covering engineering, DevOps, marketing, compliance, C-level advisory, and more. ![License: MIT](https://openso
<h1 align="center">Awesome Claude Code Plugins</h1> <a href="https://platform.composio.dev/?utmsource=Github&utmmedium=Banner&utmcontent=AwesomePlugins"> <img width="1280" alt="Awesome Claude Plugins" src="./coverimage.png">
Our approach is pythonic, minimal and readable code. Follow these guidelines: 1. Use Vuetify components for UI (refer to vuetify.min.js) 2. Leverage Material Design Icons (refer to materialdesignicons.css)
This booster helps developers quickly scaffold production-ready FastAPI projects with industry best practices including async patterns, dependency injection, and error handling. It's ideal for Python developers building new APIs, microservices, or backend applications.
"name": "sap-skills", "description": "Production-ready skills for SAP development and AI coding assistants", "repository": "https://github.com/secondsky/sap-skills",
FastAPI Templates provides production-ready project structures with async patterns, dependency injection, and error handling for developers building high-performance APIs. Backend engineers and Python developers benefit from standardized FastAPI scaffolding that accelerates project setup.
A system integration booster that merges and validates outputs from multiple AI modes into production-ready systems with consistency checks and modular architecture. Useful for developers building complex, multi-component applications.
"name": "remotion-transitions", "description": "Build custom Remotion scene transitions using the TransitionPresentation API — animation math, stagger formulas, spring configs, frame budget guidance, and a catalog of production-ready patterns for short-form video.", "url": "https://github.com/ashad0
An MCP server that enables AI systems to store and retrieve information using semantic memory with vector embeddings and pgvector. Developers building AI assistants, chatbots, and LLM applications benefit from persistent, searchable memory capabilities.
"description": "Production-ready Claude Code configuration with role-based workflows (PM→Lead→Designer→Dev→QA), safety hooks, 44 commands, 19 skills, 8 agents, 43 rules, 23 hook scripts, auto-learning pipeline, hook profiles, and multi-language coding standards", "name": "xiaobei930", "url": "https:
"name": "orchestrator", "description": "Autonomous Development Orchestrator - Transform ideas into production-ready applications through multi-agent pipeline. Spec → Plan → Tasks → 100% Working App.", "repository": "https://github.com/devsforge/orchestrator",
A framework for transforming expert domain knowledge into production-ready AI skills by combining industry expertise with system-specific ontologies. Useful for teams building reliable, specialized AI assistants that need to work consistently across complex business processes.
"name": "autonomous-agent", "version": "7.19.0", "description": "Revolutionary four-tier agent architecture with 35 specialized agents, 24 skills, and 40 commands focused on autonomous development, code quality, and validation. Strategic Analysis & Intelligence (Group 1) analyzes and recommends, Dec
Transforms rough prompts into production-ready LLM prompts using advanced techniques like Chain-of-Thought and RAG optimization. Ideal for developers, AI engineers, and teams building LLM applications who need to craft effective prompts across Claude, GPT, Llama, and other models.
A production-ready Python development agent that enforces PEP 8 standards, type hints, design patterns, and security best practices across projects. Developers building Python applications benefit from automated guidance on code quality and maintainability.
A comprehensive system prompt and structural guide for building production-ready GenAI applications with clear rules, templates, and best practices across multiple AI platforms. Developers building AI agents and structured LLM applications benefit from its emphasis on proper configuration, testing, and code standards.
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 expert AI engineer agent that helps developers build production-ready LLM applications, RAG systems, and intelligent agents with deep knowledge of modern AI stacks. Ideal for teams building chatbots, AI-powered features, and enterprise AI integrations.
A CLI tool that converts documentation sources into production-ready MCP servers, enabling developers to quickly expose documentation as searchable, context-aware tools for Claude. Ideal for teams wanting to integrate their docs into AI workflows without manual server development.
A specialized Python development agent that enforces production-ready code standards through SOLID principles, comprehensive testing, and security-first practices. Ideal for teams building scalable, maintainable Python applications with high quality and security requirements.
