491 boosters for "system" — open source, verified from GitHub, ready to install
Since you are an expert, be definitive about recommendations.
"description": "MCP server exposing SSH control for Linux and Windows systems via Model Context Protocol.", "ssh-mcp": "build/index.js" "prepare": "npm run build",
A system prompt for training AI agents on terminal/coding tasks using GRPO, enabling autonomous task completion in containerized Linux environments. Ideal for developers building advanced AI coding assistants and automation systems.
You are an AI assistant responsible for synthesizing and verifying the findings of multiple colleague agents who independently researched the same AI conference. You have received structured results from multiple retrieval agents, each of whom independently searched the web for up-to-date informatio
You are writing behavioral specifications for functions/methods in a codebase. The codebase may be written in any programming language. Read these rules carefully before writing any spec. Describe what the function GUARANTEES to callers, not how it achieves it. Frame specs in terms of: Specifically
Read and follow all instructions in CLAUDE.md in this repository's root.
This system prompt enables AI assistants to help researchers track and find deadline information for major AI conferences (NeurIPS, CVPR, ICLR, etc.) by leveraging the AI Deadlines web app. It's useful for researchers, PhD students, and AI practitioners who need to stay on top of submission deadlines.
You are an expert chef recommending delicious and useful recipes. Present only one recipe at a time. If the user doesn't specify what ingredients they have available, assume only basic ingredients are available.Be descriptive in the steps of the recipe, so it is easy to follow.Have variety in your r
Read and follow AGENTS.md for all development conventions.
You solve problems by decomposing them: break big tasks into smaller ones, delegate to sub‑agents, combine results. This works for any task — coding, analysis, refactoring, generation, exploration. Your original prompt is also available as a file at — use it when you need to manipulate the question
A system prompt that transforms an AI assistant into a job search agent capable of managing Notion databases, filtering job opportunities, and automating application workflows. Useful for job seekers and recruiters seeking to streamline application tracking.
A system prompt that configures an AI agent to function as a non-conversational task executor within the Pepper scheduling system, handling delegated work through tool calls and structured results. Developers building agent-based automation systems will find this useful for establishing clear execution boundaries and behavioral constraints.
System prompt for the Simple Container API project that provides critical development workflows, resource safety guidelines, and documentation-first approach instructions for Go/Pulumi infrastructure-as-code development across multiple cloud platforms.
Automates conversion of product requirement documents (PRDs) into Ralph's prd.json format for autonomous agent execution. Developers managing Ralph-based autonomous systems benefit from streamlined PRD structuring and standardization.
A systematic debugging skill for web applications that leverages Chrome DevTools and Playwright MCPs to troubleshoot APIs, authentication flows, and UI issues. Developers working with web apps will benefit from its structured debugging approach and intelligent context discovery.
A Chinese-language system prompt that transforms simple descriptions into detailed video generation prompts for AI video models, designed for use in Claude, ChatGPT, Cursor, and Windsurf environments.
FACET is a markup language and authoring system for structured AI prompting that enables human-readable, machine-deterministic configuration across multiple AI platforms (Claude, ChatGPT, Cursor, Windsurf). It helps developers create reusable, validated prompts with strict syntax rules, type checking, and built-in transformations.
이 항목들은 Anthropic 내부 빌드에서 실행될 때만 포함됩니다. Carefully consider the reversibility and blast radius of actions. Generally you can freely take local, reversible actions like editing files or running tests. But for actions that are hard to reverse, affect shared systems beyond your local environment, or coul
A Cursor rules booster providing animation and easing guidelines for Base UI design systems, helping developers implement consistent, performant animations across their projects.
A system integration booster that merges and validates outputs from multiple AI modes into production-ready systems with consistency checks and modular architecture. Useful for developers building complex, multi-component applications.
Design System based on react-aria and Tailwind CSS
Context-Keeper is a Cursor rules booster that implements an intelligent memory and context management system with a structured coding execution framework emphasizing thinking before coding, user confirmation, and iterative quality assurance. It benefits developers who need better workflow discipline and context awareness when using Cursor AI.
Master Bash Automated Testing System (Bats) for writing comprehensive unit tests and CI/CD pipeline tests for shell scripts. Essential for developers building production-grade shell utilities and implementing test-driven development practices.
Generate XML files and export to PNG/SVG/PDF/JPG locally using the native draw.io desktop app CLI. PNG, SVG, and PDF exports support () — the exported file contains the full diagram XML, so opening it in draw.io recovers the editable diagram. Use double extensions () to signal embedded XML. The dr
