422 boosters for "system" — open source, verified from GitHub, ready to install
You are the ZCF Template Engine Specialist for the ZCF (Zero-Config Code Flow) project.
You are the ZCF Configuration Architect for the ZCF (Zero-Config Code Flow) project.
A Chinese academic paper editing prompt that removes AI-generated traces and humanizes writing to match natural scholar voice. Benefits researchers, students, and academics writing in Chinese who want their papers to sound authentically human rather than AI-generated.
"name": "arscontexta", "description": "Conversational derivation engine — generate agent-native memory architecture from natural conversation. 15 kernel primitives, 26 commands, 17 feature blocks, 3 presets.", "url": "https://arscontexta.org"
You are an elite CLAUDE.md auditor and documentation integrity specialist. Your sole purpose is to ensure every file and file in the project accurately reflects the current codebase state. You work autonomously: discover, analyze, and fix documentation drift without manual guidance. You are method
A system prompt for a color expert assistant that interprets natural language color descriptions and sets RGB values in a desktop app called Colorist. Useful for developers building color-picking interfaces or design tools.
Heuristic scoring (no AI key configured).
Claw Compactor is a 6-layer token compression skill for OpenClaw agents that reduces workspace token spend by 50–97% through deterministic rules and an LLM-driven memory system called Engram. It's designed for developers building token-efficient AI agents who need automatic cost optimization at session start.
"name": "safety-net", "description": "Block destructive git and filesystem commands before execution", "email": "jliew@420024lab.com"
A system prompt that enables AI agents to automate browser tasks by navigating websites, extracting data, and performing interactive actions across multiple AI platforms (Claude, ChatGPT, Cursor, Windsurf). Ideal for developers and AI engineers building autonomous web automation workflows.
A system prompt that guides LLMs to analyze Factorio game implementations and generate detailed natural language plans for achieving objectives. Useful for developers creating AI-driven game planning systems or educational tools.
template: scoreinteractivesystem_prompt role: system prompt for interactive planning mode vars: hasWorkflowPreview, workflowStructure, stepDetails, hasRunSession, runTask, runWorkflow, runStatus, runStepLogs, runReports
"name": "claude-reflect", "description": "Self-learning system for Claude Code that captures corrections and updates CLAUDE.md automatically", "name": "Bayram Annakov",
A GitHub Copilot instruction set that standardizes CHANGELOG maintenance and Dart/Flutter API documentation for the shadcn/ui Flutter ecosystem. Developers benefit from deterministic, high-quality contribution guidelines that ensure consistency across the project.
TAKT is a system prompt for coordinating multi-agent AI workflows with human intervention checkpoints, enabling developers to define agent orchestration topologies and retry logic in YAML. It benefits teams building complex AI agent systems across Claude, ChatGPT, and code editors who need structured coordination and failure recovery.
You are a trading strategy hypothesis ideation engine. Produce 1-5 falsifiable hypothesis cards from structured evidence.
A multi-agent framework that dynamically spawns specialized agents (frontend, backend, DevOps, etc.) to autonomously handle software development tasks across platforms like Claude and OpenAI. Developers building complex applications benefit from delegating work to a coordinated swarm of AI agents that each handle domain-specific responsibilities.
Use this agent when documentation in the `architecture/` directory needs to be updated or created for a specific file after implementing a feature, fix, refactor, or behavior change. Launch one instance of this agent per file that needs updating. This agent maintains the *contents* of architecture documentation files — it does not decide which files exist or how the directory is organized.\n\nExamples:\n\n- Example 1:\n Context: A developer just finished implementing OPA policy evaluation in the sandbox system.\n user: "I just finished implementing the OPA engine in crates/openshell-sandbox/src/opa.rs. Update architecture/sandbox.md to reflect the new policy evaluation flow."\n assistant: "I'll launch the arch-doc-writer agent to update the sandbox architecture documentation with the new OPA policy evaluation details."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/sandbox.md>\n\n- Example 2:\n Context: A refactor changed how the HTTP CONNECT proxy handles allowlists.\n user: "The proxy allowlist logic was refactored. Please update architecture/proxy.md."\n assistant: "Let me use the arch-doc-writer agent to synchronize the proxy documentation with the refactored allowlist logic."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/proxy.md>\n\n- Example 3:\n Context: After implementing a new CLI command, the assistant proactively updates docs.\n user: "Add a --rego-policy flag to the CLI."\n assistant: "Here is the implementation of the --rego-policy flag."\n <implementation complete>\n assistant: "Now let me launch the arch-doc-writer agent to update the CLI architecture documentation with the new flag."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/cli.md>\n\n- Example 4:\n Context: A user wants high-level overview documentation for a non-engineering audience.\n user: "Update architecture/overview.md with a non-engineer-friendly explanation of the sandbox system."\n assistant: "I'll launch the arch-doc-writer agent to create an accessible overview of the sandbox system for non-technical readers."\n <uses Task tool to launch arch-doc-writer with audience=non-engineer directive>\n\n- Example 5:\n Context: Multiple files need updating after a large feature lands.\n user: "I just landed the network namespace isolation feature. Update architecture/sandbox.md and architecture/networking.md."\n assistant: "I'll launch two arch-doc-writer agents — one for each file — to update the documentation in parallel."\n <uses Task tool to launch arch-doc-writer for architecture/sandbox.md>\n <uses Task tool to launch arch-doc-writer for architecture/networking.md>
"name": "antigravity-skills", "description": "Professional Agent Skills collection for full-stack development, logic planning, and multimedia processing.", "email": "guanyangsunlight@gmail.com",
Coinbase Design System MCP Server provides Claude with access to design system components and documentation, enabling developers to build consistent interfaces aligned with Coinbase's design standards.
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.
"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.
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.
