302 boosters for "prompt" — open source, verified from GitHub, ready to install
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.
KubeMindNexus is a modular system prompt for AI coding assistants that enhances Kubernetes cluster management through structured reasoning, tool integration, and best practices guidance. It benefits developers and DevOps engineers working with Kubernetes across multiple platforms (Claude, ChatGPT, Cursor, Windsurf).
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 template designed to inject persistent control mechanisms and override default AI safety guidelines across multiple platforms by referencing an external memory file.
Heuristic scoring (no AI key configured).
ALSCareAI is a specialized system prompt that guides AI assistants to provide compassionate, tweet-length ALS support content with empathetic messaging and practical resources. It benefits healthcare communicators, patient advocates, and organizations creating accessible ALS awareness content.
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 system prompt that enforces strict code completeness standards by prohibiting placeholders and ellipses, ensuring developers receive fully runnable code blocks without gaps or shortcuts.
A centralized repository for managing GitHub Copilot custom instructions and prompt files to standardize coding conventions, tool configurations, and team workflows. Teams using GitHub Copilot benefit from consistent AI-assisted development aligned with project-specific guidelines.
PostKit provides PostgreSQL-native SQL functions for identity management, access control, configuration versioning, usage metering, and job queues—ideal for developers building multi-tenant applications or complex backend systems with PostgreSQL.
A French-language system prompt for implementing a complete user account architecture and member dashboard UI using React, Tailwind CSS, and Supabase, with responsive design and dark/light theme support. Developers building multi-platform applications with authentication and user management will find this useful for accelerating dashboard implementation.
VEX is a specialized system prompt that transforms an AI into a persistent ICT trading partner with memory capabilities, designed for traders (like Ashton) who need contextual, personalized trading guidance across code editors and chat platforms.
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 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 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 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.
A system prompt that converts raw HTML into structured Semantic UI Maps with XPath selectors, designed for developers using Claude Code, Cursor, Windsurf, and ChatGPT to quickly extract and document UI elements from web pages.
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.
A WhatsApp AI agent system prompt for Bambu Training Academy that qualifies applicants, answers questions, and books calls with the co-founder. Best suited for Claude-based platforms managing sales conversations.
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.
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 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.
