125 boosters for "ai-assisted" — AI-graded, open source, ready to install
Cursor Rules for Next.js 15 that enforce TypeScript, Tailwind, and App Router best practices. Ideal for developers building modern Next.js applications who want AI-assisted development with consistent project standards.
A Model Context Protocol (MCP) server that integrates Stylelint CSS linting capabilities into Claude Desktop and Claude Code, enabling AI-assisted CSS code quality analysis and style rule enforcement.
An MCP server that integrates llmstxt documentation fetching into Claude Desktop and Claude Code, enabling developers to access and reference documentation within their AI-assisted workflows.
A recursive RAG (Retrieval-Augmented Generation) MCP server that integrates with Cursor IDE to enable intelligent code retrieval and context optimization through vector embeddings and a rules optimizer. Developers using Cursor can leverage this to enhance code understanding, documentation retrieval, and AI-assisted development workflows.
An MCP Server that integrates Zenn articles into Claude, enabling AI-assisted management and exploration of technical writing content. Useful for writers and developers who publish on Zenn and want AI-powered workflows.
An MCP server that provides Swift and SwiftUI best practices guidance and tools for Claude Desktop and Claude Code environments. Useful for iOS/macOS developers seeking AI-assisted code review and pattern recommendations.
Eureka provides Copilot with comprehensive software engineering principles (KISS, DRY, YAGNI, SOLID, TDD) to guide developers in writing clean, maintainable code. Teams using Eureka benefit from consistent coding standards and best practices enforced through AI-assisted development.
Copilot Instructions for Angular development that guides AI to generate maintainable, type-safe applications using modern Angular patterns like Signals and standalone components. Useful for frontend teams wanting consistent AI-assisted code generation aligned with Angular best practices.
Structum is a system prompt for migrating Python framework documentation to enterprise-grade standards using custom grid systems and design tokens. It benefits documentation maintainers and technical writers working with Sphinx-based projects who need structured, standards-compliant documentation processes.
A Cursor-specific prompt that establishes a memory bank system for maintaining project context across sessions, helping teams preserve institutional knowledge and continuity in AI-assisted development work.
A Cursor-native linter configuration that enforces token-efficient file editing by integrating with the Astral.sh Python toolchain (ruff, pytest, pre-commit, etc.), enabling faster AI-assisted edits on resource-constrained agents.
An MCP server that integrates Monti APM performance monitoring data with Claude, enabling developers to query and analyze Meteor/GraphQL application metrics directly through the Model Context Protocol. Ideal for Meteor developers using Monti APM who want AI-assisted performance analysis and debugging.
Hack Review is a system prompt that transforms Claude into an expert code reviewer for pull requests, providing automated feedback on bugs, style, performance, and security issues. It benefits developers and teams who want AI-assisted code review integrated into their GitHub workflow.
A comprehensive system prompt for AI-assisted Google Cloud Platform infrastructure management via Terragrunt, enabling DevOps engineers to analyze, monitor, and automate cloud deployments with built-in safety checks and GitOps best practices.
Binance Claude MCP Server enables Claude Desktop and Claude Code to interact directly with Binance cryptocurrency exchange APIs for real-time trading data and account management. Developers and traders benefit from seamless integration of AI-assisted trading workflows without manual API calls.
This MCP server integrates Jenkins CI/CD pipelines with Claude, enabling AI-assisted automation of build, test, and deployment workflows. It benefits DevOps engineers and developers who want to leverage AI for Jenkins management and troubleshooting.
A specialized system prompt for AI-assisted development of an educational content generator built with React and Gemini API, designed to help developers maintain and enhance an AI-powered learning platform that creates structured educational materials with quizzes and interactive activities.
This MCP server enables Claude to query, validate, and generate schemas for JSON data, making it ideal for developers working with JSON-heavy workflows who need AI-assisted data manipulation and validation.
A comprehensive system prompt that transforms Claude into an autonomous project orchestrator, breaking down goals into atomic tasks, managing dependencies, and coordinating risk mitigation across coding projects. Developers and AI-assisted teams benefit from structured planning and intelligent task sequencing.
High Society is a system prompt for building a top-down 2D retro drug dealer simulator with emergent gameplay and tension-based decision-making. Game developers and AI-assisted game designers can use this to scaffold complex simulation mechanics.
A comprehensive system prompt template for AI-assisted web development that guides creation of modern, production-ready websites with clear design principles, tech stack specifications, and customizable variables for projects like SaaS, e-commerce, and dashboards.
A Cursor-integrated prompt boilerplate that sets up senior-level backend expertise for AWS Amplify Gen 2 projects with built-in authentication and security best practices. Ideal for developers building scalable, secure applications who want AI-assisted development with domain-specific guidance.
A hierarchical multi-agent system that organizes 19 specialized AI agents into teams with intelligent LLM-based routing and dynamic tool binding for AI-assisted development tasks. Developers building complex AI-powered applications benefit from its modular architecture and industry-standard prompt integration.
PRISM is a prompt IDE that helps engineers design, test, and iterate on LLM prompts and agents through visual templates and dataset-driven feedback. It benefits prompt engineers, product teams, and developers building AI-powered applications who need structured prompt management and testing workflows.
