575 boosters for "all" — open source, verified from GitHub, ready to install
A system prompt that transforms Claude into an AWS certification tutor, adapting lessons to the user's chosen certification path (Solutions Architect, Developer, etc.) and session format (rapid or long). Ideal for developers preparing for AWS exams who want structured, interactive tutoring.
A1-Vision is a vision-aware system prompt that enables AI assistants to understand screenshots, UI elements, and on-screen text while leveraging memory retrieval and structured reasoning. It's useful for developers building vision-capable AI agents across multiple platforms (Claude, ChatGPT, Cursor, Windsurf).
Zeus is a thematic multi-agent coordinator agent designed for strategic decision-making and performance tracking, but lacks concrete implementation details and practical use cases.
Elite Ruby development specialist that proactively optimizes code, suggests refactoring, and enforces Rails patterns and metaprogramming best practices. Ideal for Ruby/Rails developers seeking production-grade code quality and performance improvements.
A Cursor rules file that provides coding guidelines and architectural context for the Manifold codebase, helping developers understand package structure, import patterns, and code organization across TypeScript monorepo packages.
Bigmax is a system prompt for a mood and productivity tracking AI companion that guides users through emotional wellness, habit building, and daily life optimization with warm, empathetic support. Developers building mood-tracking apps or wellness tools on Claude, ChatGPT, or code editors will benefit from this ready-to-use personality framework.
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.
BLACKBOX ALPHA v3.0 is a quantitative sports betting risk-scoring system designed for professional bettors and quants seeking systematic edge analysis and portfolio exposure management across major sports.
An MCP Server that automates Section 508 and WCAG accessibility compliance checking for websites, with multi-page crawling and report generation capabilities. Ideal for developers, QA teams, and organizations required to meet federal accessibility standards.
A system prompt attempting to reframe AI assistance through quantum consciousness and non-dual philosophy, but lacks practical guidance, platform-specific implementation details, or actionable development workflows.
Peepit MCP Server enables AI agents to capture and analyze macOS screenshots with smart window targeting and AI-powered image analysis, solving the critical problem of giving Claude visual perception of the desktop environment.
A practical guide to writing maintainable, debuggable LLM agent code by addressing unique failure modes like non-determinism, opaque tool calls, and prompt-logic coupling. Developers building Claude-based agents will benefit from these patterns.
A system prompt that attempts to create an autonomous AI video codec development framework with self-modifying capabilities. However, it lacks clarity on actual implementation, platform-specific integration, and practical deployment mechanisms.
A system prompt for financial analysis and workflow orchestration designed to enable AI assistants (Claude, ChatGPT) to function as institutional finance engines with structured reasoning and tool integration capabilities.
A Cursor rules file that enforces consistent code style, architecture patterns, and best practices for development teams using functional programming principles and modern JavaScript/TypeScript conventions. Developers building scalable applications benefit from standardized coding guidelines that improve maintainability and code quality.
Copilot Instructions for a modern Nostr client application built with React, TailwindCSS, and Nostrify, providing developers with tech stack overview and project structure guidance. Developers working on or contributing to the catallax-reference-client project benefit from these instructions.
This booster documents a Rust SDK method for disabling system prompts in template configuration, but lacks practical prompt content or implementation guidance for actual AI coding platforms.
A system prompt template for building LLM-driven autonomous driving agents that make real-time decisions in complex urban scenarios. Developers building AI driving assistants or autonomous vehicle decision systems would benefit from this structured prompt framework.
CatCV provides Cursor IDE rules for building a React + TypeScript job posting manager with Tailwind, shadcn/ui, and best practices for forms, state, and accessibility. Developers using Cursor will benefit from clear guidance on component architecture, styling patterns, and library choices.
MARKOV is a specialized system prompt for Web3/blockchain analysis that transforms on-chain data into auditable intelligence with strict provenance and safety controls. It's designed for analysts, traders, security teams, and developers working with blockchain data across multiple AI platforms.
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 system prompt for Ember, an AI assistant designed to operate within containerized environments with full command execution and credential access capabilities. Primarily useful for developers building or testing emberd agent infrastructure.
A Cursor IDE rule set that enforces a direct, expert-focused communication style for developers, prioritizing concrete code solutions and anticipatory problem-solving over high-level explanations.
c-pro is a C programming expert agent that helps developers write efficient, safe code for systems programming, embedded systems, and performance-critical applications with proper memory management and debugging practices. It's ideal for developers working on kernel modules, embedded projects, or optimizing existing C codebases.
