139 boosters for "ai-assisted" — AI-graded, open source, ready to install
CatCV provides Cursor-specific AI integration rules for a React + TypeScript job posting manager, with best practices for model selection, structured outputs via Zod schemas, and prompt safety. Developers building AI-assisted recruitment tools will benefit from these production-ready patterns.
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.
An LLM-optimized TickTick task management MCP server that reduces token costs by 70% through intelligent time handling, enabling efficient AI-assisted task automation for productivity-focused developers and AI assistants.
This MCP server integrates an LLM Search Engine into Claude and Cursor, enabling developers to perform web searches directly within their AI workflows. It's useful for developers who need real-time information retrieval capabilities in their AI-assisted coding and analysis tasks.
A Windsurf prompt booster that provides comprehensive coding guidelines for AI-assisted development, emphasizing careful requirement reading, project structure respect, and avoiding common implementation pitfalls. It benefits developers using Windsurf who need systematic prompting patterns to ensure high-quality AI assistance.
Buildlog captures and replays AI-assisted coding sessions as shareable recordings, enabling developers to create tutorials, documentation, and learning materials from their work. Ideal for teams wanting to document complex implementations and knowledge transfer.
A project management agent that helps teams with planning, coordination, and delivery oversight. Useful for product managers and team leads needing AI-assisted project orchestration.
A file management MCP server that enables reading, writing, and manipulating files and folders directly from Claude Desktop, Claude Code, and Cursor. Developers and power users benefit from seamless file operations within their AI-assisted workflow.
Ctxl provides personal context management for AI assistants, enabling developers to maintain and organize contextual information across Claude, Claude Code, and Cursor environments. It benefits developers who need persistent context handling across multiple AI-assisted workflows.
A comprehensive Copilot instruction template that establishes coding standards, testing requirements, and project context for Rust development teams. Developers working in Rust repositories benefit from consistent AI-assisted guidance on architecture, code style, and workflow expectations.
Copilot instructions for building a real-time multiplayer Battleships game using ASP.NET Core and SignalR, providing architecture guidelines and scope boundaries to keep AI-assisted development aligned with project goals.
Copilot Instructions for Ruby development using octokit.rb, providing standardized guidance on environment setup, testing, and GitHub operations to streamline AI-assisted Ruby coding workflows.
A GitHub Copilot prompt template that guides AI assistance for Ruby development by establishing conventions for environment setup, testing, and project structure. Ideal for Ruby developers and teams looking to standardize AI-assisted coding practices.
mcp-financial-analyst is a specialized system prompt that transforms Claude into an expert financial analyst with access to 68+ RSS feeds for real-time market data and analysis. It benefits financial professionals, traders, and analysts who need AI-assisted market research and decision-making.
A system prompt that enforces documentation-first development practices for AI-assisted coding across multiple platforms (Claude, Cursor, Windsurf, ChatGPT). Teams and individual developers benefit by ensuring code changes are paired with updated documentation and decision records.
Vibe MCP is a workflow orchestrator and development automation server that integrates with Claude Desktop and Claude Code to streamline CLI-based development tasks. It benefits developers who need automated guidance and task orchestration within their AI-assisted workflows.
A strategic planning agent that analyzes requirements, researches solutions, and designs system architecture before implementation. Ideal for developers and architects who want AI-assisted upfront planning to reduce rework and improve code quality.
A system prompt for an AI-powered React application that generates structured English teaching content and interactive quizzes using Google's Gemini API. Educators and developers building AI-assisted language learning tools benefit from this development framework.
A comprehensive configuration guide for integrating Google's Gemini language model as an agent within the CodeBolt platform, enabling developers to customize AI-assisted code generation across multiple programming languages and frameworks.
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 React 19 + TypeScript full-stack template optimized for AI-assisted development with feature-driven architecture and TanStack ecosystem integration, designed for Copilot users seeking type-safe, scalable project scaffolding.
Copilot Instructions that optimize AI context loading for the ai-augmented-project-template repository by providing query scripts and decision trees to reduce token usage by 85-95%. Developers working with GitHub Copilot on this project benefit from faster, more efficient AI-assisted development.
An MCP server that integrates course curriculum management, project components, and coding standards into Claude Code, enabling educators and developers to maintain structured educational content and project knowledge bases. Ideal for course creators, coding instructors, and development teams building AI-assisted learning platforms.
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.
