67 boosters for "load" — AI-graded, open source, ready to install
This Cursor rules booster optimizes React component performance by promoting server-side rendering, lazy loading, and resource efficiency. It's ideal for developers building Next.js/React applications who want to reduce client-side overhead and improve load times.
MCP Server that enables a Superpowers skill system for Zed Agent with auto-injection and dynamic loading capabilities. Developers using Zed Editor with Claude integration can leverage this to extend agent capabilities through a modular skills framework.
Cursor Rules for grantflow-dev that enforce UX best practices, ensuring users receive clear feedback during interactions like form submissions. Developers using Cursor for this project benefit from enforced patterns around loading states, toasts, and redirects.
AimTrack Copilot Instructions provides Laravel developers with expert guidance on building a shooting logging application using Laravel 12, Filament v4, and modern PHP 8.4 stack with privacy-first architecture. It benefits developers working on sports tech applications or those needing specialized domain knowledge for ballistics/shooting sport software.
Heuristic scoring (no AI key configured).
Create production-ready AI skills by extracting domain expertise and system ontologies, ensuring reliable performance in real-world applications. Ideal for developers building AI assistants that need deep contextual knowledge.
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.
A performance engineering agent that profiles applications, identifies bottlenecks, and implements optimization strategies including caching, load testing, and query optimization. Developers and DevOps engineers use it to improve application speed and scalability.
Open Scout Mcp enables teams to create and publish one-pagers and boards with integrated image uploads from the web. It's useful for organizations that need quick document creation and sharing workflows.
Copilot instructions for an AI-powered student Q&A assistant that uses LangChain and RAG to answer questions based on uploaded course materials. Ideal for educators implementing AI tutoring tools and students seeking supplementary learning support.
A skill that enables safe, comprehensive searches of Zotero libraries by executing Python code to filter and rank results, preventing context overload crashes. Useful for researchers and developers who need efficient access to large reference collections.
Caption-clip automates downloading YouTube videos and adding styled captions using yt-dlp and Deepgram transcription, enabling content creators and developers to quickly generate captioned clips with timestamps.
AI development guidelines for Copilot that establish best practices for code implementation, including respecting user design patterns, asking clarifying questions, and following a structured workflow. Developers working with Copilot on Node.js projects benefit from clear expectations on how the AI should assist with design decisions and problem-solving.
This booster appears to mislabel a Git commit message generator as a Microsoft Ignite 2025 session browser, creating confusion about its actual purpose and functionality.
This skill automates downloading books from Anna's Archive and uploading them to Google NotebookLM for AI-powered document analysis. It's useful for researchers and students who want to create knowledge bases from books without manual uploads.
Copilot instructions for nanocloud, a mini cloud storage app built with Express, React, and AWS S3. Helps developers working on the Cloudrave internship project navigate architecture, authentication, file upload flows, and environment configuration.
An MCP server that integrates Sonarr, Radarr, Plex, and Sabnzbd with Claude, enabling AI-powered management of media libraries and download automation. Perfect for homelab enthusiasts and media server administrators who want hands-free control through natural language.
zai-vision enables Claude Code to dynamically access vision capabilities through an MCP server, allowing developers to convert UI screenshots into code/specs and extract text via OCR. It benefits developers building AI-powered tools that need to analyze visual content without loading all tools upfront.
