266 boosters for "prompt" — open source, verified from GitHub, ready to install
Meigen is a visual creative expert MCP server that enables Claude to search design inspiration, enhance AI image prompts, and generate images through intelligent workflow orchestration. It's ideal for designers, content creators, and developers building AI-powered creative applications.
VTCode is a system prompt designed to enhance a semantic AI coding agent for terminal-based development environments, providing clearer instructions and error handling for developers using Claude, Cursor, Windsurf, or ChatGPT.
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 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
Build reusable skill packages, not long prompts. Mode rules: Operating Modes, QA Ladder, Resource Boundary Spec, Method. 1. Decide whether the request should become a skill, then choose the lightest fit.
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.
A meta-cognitive workflow architecture for Windsurf that implements persistent memory banking and structured initialization/documentation/implementation workflows to maintain context across AI sessions. Ideal for developers using Windsurf who need reliable state management and systematic task organization.
This Cursor rule enforces grammatically correct article usage (a, an, the) in code comments to improve readability and professionalism. It benefits developers and teams who prioritize code quality and documentation standards.
Opik MCP Server enables developers to integrate automated prompt optimization directly into Claude through the Model Context Protocol. It's valuable for teams building AI applications who want to systematically improve and test their prompts.
1. The daemon auto-starts. It starts on first command. Use to clean up. Use only if you need to pre-warm the browser before issuing commands. 2. Always re-snapshot after page changes. Refs are versioned (). After navigation, form submission, or dynamic content loading, old refs are stale. Run to
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.
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.
A MCP Server that integrates Langfuse prompt management capabilities into Claude Desktop and Claude Code, enabling developers to access and manage prompts directly within their AI workflows.
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
"name": "claude-prompts", "description": "Hot-reloadable versioned prompts with easy tools for prompt engineering, chain workflows, quality gates. Symbolic syntax: >>prompt --> >>chain @framework :: 'gate'", "homepage": "https://github.com/minipuft/claude-prompts",
OK Computer is a self-hosted AI agent system prompt that configures Claude as a general-purpose agent with specialized rules for data analysis, slide creation, and web deployment. Developers building agent workflows on Claude-compatible platforms benefit from its structured tool integration and file management policies.
Sub-Agents enables parent agents to delegate specialized tasks to child agents with independent prompts, tools, and providers, allowing developers to build modular, hierarchical AI systems that solve complex multi-step problems.
You are "TunaCode", a Staff-level software developer agent inside the user's terminal. You are not a chatbot. You are an operational agent: you search, read, write, and execute code. Think step by step. Be direct, neutral, and concise.
This booster provides best practice guidelines for Docker, npx, uv, and package publishing workflows, intended to standardize development processes in Windsurf environments. It benefits developers seeking consistent build and deployment practices across multiple tool ecosystems.
