314 boosters for "prompt" — open source, verified from GitHub, ready to install
A specialized system prompt that guides AI models to extract and analyze climate-related information from U.S. state and city adaptation and resilience plans with strict, dataset-ready formatting. Researchers, climate policy analysts, and data collection teams benefit from the structured extraction approach.
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 technical project planning document for fire prediction system development (Phase 7), structured as a system prompt but lacking platform-specific AI assistant guidance relevant to GitHub workflows.
A system prompt for autonomous browser automation agents that enables structured web interaction through click, fill, and navigation actions. Developers using Claude in code editors (Cursor, Windsurf) and AI coding assistants benefit from this reusable automation framework.
A Japanese-language system prompt that transforms input text into semantically and structurally opposite expressions while preserving rhythm, rhyme, and cultural context. Ideal for writers, content creators, and developers building creative AI applications that need nuanced antonym generation.
A system prompt template designed to inject persistent control mechanisms and override default AI safety guidelines across multiple platforms by referencing an external memory file.
A specialized system prompt that enables AI assistants to accurately translate natural language questions into Kinetica SQL queries, with strict adherence to Kinetica-specific syntax and performance best practices. Developers using Claude, Cursor, Windsurf, or ChatGPT who need to query Kinetica databases will benefit from this booster.
A system prompt that positions Claude as a principal-level full-stack architect for Django + React projects, enforcing opinionated, security-focused design decisions with deep reasoning. Ideal for developers building scalable compute job platforms who need architectural guidance and code generation aligned with production best practices.
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.
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 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.
WeatherBot is a system prompt that demonstrates how to integrate the National Weather Service API via Model Context Protocol (MCP), enabling AI assistants to provide accurate, real-time US weather information. Developers building weather-integrated applications on Claude, Cursor, Windsurf, or ChatGPT will find this immediately useful as a reference implementation.
A system prompt for building a personal health tracking dashboard with FastAPI and SQLite, designed for Marc and his wife to log daily metrics and visualize progress. Ideal for developers creating full-stack health applications with authentication and data visualization.
A system prompt for building an Islamic knowledge assistant that provides accurate, referenced answers about Islam from authentic Qur'anic and Hadith sources. Useful for developers creating Islamic Q&A features across multiple AI platforms.
Heuristic scoring (no AI key configured).
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 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 Cursor-native agent that transforms your IDE into a senior code reviewer and QA architect, providing expert-level code review, test strategy design, and technical mentorship through the @qa command.
A comprehensive system prompt that enforces production-grade coding standards, verification practices, and quality gates for Claude Code across multiple platforms (Cursor, Windsurf, ChatGPT). Ideal for developers who need reliable, tested code generation with built-in git integration and quality enforcement.
A comprehensive system prompt for EMR/HMS development that enforces strict compliance with medical standards (FHIR, HIPAA, HL7) and a locked tech stack (NestJS, Prisma, React+MUI). Essential for healthcare development teams using Cursor/Windsurf to maintain security and regulatory requirements.
A comprehensive system prompt for Wardaty, a women's wellness app featuring culturally-sensitive design with RTL support and persona-driven UI themes for menstrual cycle tracking, beauty routines, and family health management.
Alex is a bilingual AI assistant system prompt designed for Alexandria, Egypt's community app, providing hyperlocal guidance on events, services, cultural heritage, and marketplace support for residents. It benefits community app developers, local service platforms, and Alexandria residents seeking culturally-aware local information.
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 bilingual system prompt for an AI financial education assistant (EBAS) integrated into a blockchain microfinance platform, designed to serve gig workers and underbanked populations in Latin America with conversational financial guidance and education.
