521 boosters for "system" — open source, verified from GitHub, ready to install
provides cross-platform abstractions for: Persistent key-value storage: 1. Use Schema validation - Validate all external data
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.
Procedural memory for AI coding agents. Transforms scattered sessions into persistent, cross-agent memory. Uses a three-layer cognitive architecture that mirrors human expertise development. AI coding agents accumulate valuable knowledge but it's: You've solved auth bugs three times this month acros
Accessible workspace directory: !!<<<<||||workspace_dir||||>>>>!! When processing tasks, if you need to read/write local files and the user provides a relative path, you may choose to combine it with the above workspace directory to get the complete path. If you believe the task is completed, you ca
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.
Query a structured, cross-referenced knowledge base of GPU kernel optimization for NVIDIA Blackwell (SM100) and Hopper (SM90). The repository update date is recorded in ; run for current corpus counts. Trigger this skill when the user asks about: Do NOT use this skill for:
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
"name": "cppcheatsheet", "description": "Comprehensive C/C++ programming reference covering modern C11-C23, C++11-C++23, system programming, CUDA GPU computing, debugging tools, Rust interop, and advanced topics", "name": "crazyguitar"
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.
remains the internal skill id for routing and installation. Use this as the single entry point for the AK Threads workflow. This skill is for creators who want to pick stronger topics, write posts with clearer upside, and improve over time using their own Threads history.
"name": "comfyui-custom-node-skills", "description": "Skills for building ComfyUI custom nodes with the V3 and V1 Python APIs" "name": "comfyui-custom-nodes",
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.
"version": "0.46.0", "description": "Build and deploy web apps and agents", "url": "https://github.com/vercel"
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.
