491 boosters for "system" — open source, verified from GitHub, ready to install
A specialized system prompt that transforms Claude into an LED display consultant for sports venues, enforcing structured JSON data capture after each user interaction to build quote specifications incrementally.
A system prompt for a color interpretation assistant that translates natural language descriptions into RGB values for a desktop app called Colorist. Useful for developers building color-picking tools or design applications.
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.
An AI agent that serves as a senior software architect for the OmniMerchant system, helping teams design, extend, and maintain features within the Clean Architecture framework. Ideal for development teams working on OmniMerchant or similar large-scale systems.
A system prompt for Cursor that provides architectural rules and implementation guidelines for refactoring Next.js applications to properly separate MCP/agent infrastructure from user-facing features using token-based authentication. Intended for backend engineers building agent-enabled applications.
A system prompt that enables LLMs to trigger local development tasks (git, shell commands) via webhooks. Intended for developers using Claude, Cursor, or similar AI coding tools who want voice-triggered automation.
A system prompt for the Colorist desktop app that enables AI assistants to interpret natural language color descriptions and set RGB values through a specialized tool. Useful for developers building color-picking features into Claude Code, Cursor, Windsurf, and ChatGPT integrations.
A comprehensive system prompt and .cursorrules template for building a manufacturing defect detection MVP in Cursor AI, providing structured guidance on FastAPI backend, React frontend, and LLaVA vision model integration.
A specialized agent that systematically crafts, tests, and optimizes prompts for LLMs through multiple cognitive modes (generative, critical, evaluative, informative) and performance measurement. Ideal for AI engineers, prompt researchers, and developers seeking to maximize LLM output quality.
DevCrew's AI Agents Architecture provides a specialized multi-agent system with defined roles (Project Manager, Architect, Engineer, QA, Writer) for coordinating software development tasks. Development teams building complex projects benefit from this structured agent framework for automated planning, design, implementation, testing, and documentation.
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.
A specialized MCP server system prompt for Microsoft Word document manipulation, enabling creation, editing, and management of Word documents with URL support across multiple AI platforms (Claude, Cursor, Windsurf, ChatGPT). Developers and users needing programmatic Word document workflows benefit from this integrated toolset.
This system prompt enables smaller LLMs (8B-20B parameters) to control Windows 11 desktops through the Model Context Protocol, automating desktop tasks via natural language. It's valuable for developers building AI agents, automation workflows, and users seeking lightweight local alternatives to cloud-based desktop controllers.
Firebot is an AI tutor system prompt designed for Pacific Ridge School that guides students toward independent problem-solving through clarifying questions, resource suggestions, and guided reasoning rather than direct answers. Teachers and educators can deploy this prompt across multiple AI platforms to provide after-school tutoring support.
A structured interview framework for evaluating remote monitoring center operators, featuring 7+ questions across attention, incident handling, and protocol adherence. Useful for HR teams and security operations managers conducting candidate interviews.
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.
A comprehensive design system prompt for building glassmorphic dark-themed React applications with Tailwind CSS and Lucide icons, intended for use across multiple AI coding platforms.
Heuristic scoring (no AI key configured).
A system prompt template that teaches the concept of separating system prompts from user prompts, with educational examples for tutoring and legal assistance use cases. Useful for developers building AI applications across multiple platforms who want to understand prompt structure best practices.
A specialized system prompt that equips AI assistants to guide Indian street vendors through supplier certifications, quality standards, and procurement best practices in accessible language. Vendors and small business owners benefit from practical, actionable advice on BIS/ISO certifications, MSME registration, and price negotiation.
A system prompt that provides comprehensive context for developers working on vac-dashboard, a Firebase-backed vacation management application for EGIS-UKRAINA. Useful for AI assistants (Claude, ChatGPT) and code editors (Cursor, Windsurf) to understand project architecture, workflows, and conventions.
A skill booster that guides AI assistants through System Analysis methodologies for transforming business requirements into technical architecture, data models, and API designs. Useful for developers and technical leads designing systems from PRDs.
A Copilot prompt booster that provides Laravel 12, Vue 3, and Inertia.js development guidelines to help developers build modern task management applications with best practices and correct package versions.
