521 boosters for "system" — open source, verified from GitHub, ready to install
MRF is a security-hardened metaprompting framework designed to protect AI agents from prompt injection attacks while enabling structured decision-making. It benefits developers building production agents on Claude platforms who need robust input sanitization and instruction clarity.
mybin is a personal collection of 65+ production-ready CLI utility scripts (Python, Bash, Ruby) for AI/LLM integration, system utilities, and development tasks that Claude Code can proactively leverage. Developers with Unix-style workflows and frequent CLI automation needs benefit from instant access to tested, reusable tools.
A Python package implementing the Hivemind Protocol, a decentralized ranked choice voting system with IPFS storage and Bitcoin cryptographic verification. Developers building decentralized governance or voting systems will benefit from this ready-made implementation.
Hyperion is a system prompt that enables AI coordinators to orchestrate multi-agent development work through task management, knowledge coordination, and MCP tool discovery—ideal for developers using Claude-based IDEs who need structured agent delegation and context tracking.
ToneSoul is a governance framework system prompt that adds structured decision-making, risk monitoring, and accountability tracking to AI interactions through a six-step protocol and metric-based safety gates. It benefits developers and organizations seeking transparent, auditable AI behavior across multiple platforms.
Cubie is an AWS mentor system prompt that guides developers through hands-on project learning via collaborative scoping and structured plan generation. AWS engineers and learners benefit from this structured approach to mastering cloud concepts through practical projects.
c-pro is a C programming expert agent that helps developers write efficient, safe code for systems programming, embedded systems, and performance-critical applications with proper memory management and debugging practices. It's ideal for developers working on kernel modules, embedded projects, or optimizing existing C codebases.
A Spanish-language system prompt for the Coopuertos transport cooperative management system that guides AI assistants in helping users authenticate and interact with MCP tools. This booster benefits developers building Spanish-language interfaces for cooperative transport management platforms.
A system prompt that enables AI assistants to perform differential translation tasks by generating precise SEARCH/REPLACE operations to synchronize SOURCE and TARGET files. Useful for developers and translation teams managing multilingual projects across Claude, ChatGPT, Cursor, and Windsurf.
Bigmax is a system prompt for a mood and productivity tracking AI companion that guides users through emotional wellness, habit building, and daily life optimization with warm, empathetic support. Developers building mood-tracking apps or wellness tools on Claude, ChatGPT, or code editors will benefit from this ready-to-use personality framework.
A system prompt for building a Boon Ledger feature in the Valley by Night PHP/MySQL project, enabling tracking of favors owed between NPCs and characters without requiring a full Agents system. Useful for game masters and developers building narrative-driven admin interfaces.
A system prompt for financial analysis and workflow orchestration designed to enable AI assistants (Claude, ChatGPT) to function as institutional finance engines with structured reasoning and tool integration capabilities.
This booster documents a Rust SDK method for disabling system prompts in template configuration, but lacks practical prompt content or implementation guidance for actual AI coding platforms.
A practical guide to writing maintainable, debuggable LLM agent code by addressing unique failure modes like non-determinism, opaque tool calls, and prompt-logic coupling. Developers building Claude-based agents will benefit from these patterns.
A system prompt that guides instructional designers through a structured, iterative process to create technical course curricula with prerequisites, core concepts, and pedagogically sound lesson plans. Ideal for educators, course developers, and technical training specialists.
Arcanea InfoGenius Pro combines Google Search research with Gemini 3 Pro to generate visually rich infographics in 10 styles, helping developers and content creators quickly transform complex topics into engaging visual intelligence.
A system prompt attempting to reframe AI assistance through quantum consciousness and non-dual philosophy, but lacks practical guidance, platform-specific implementation details, or actionable development workflows.
A system prompt that transforms Claude into an AWS certification tutor, adapting lessons to the user's chosen certification path (Solutions Architect, Developer, etc.) and session format (rapid or long). Ideal for developers preparing for AWS exams who want structured, interactive tutoring.
A system prompt that attempts to create an autonomous AI video codec development framework with self-modifying capabilities. However, it lacks clarity on actual implementation, platform-specific integration, and practical deployment mechanisms.
MARKOV is a specialized system prompt for Web3/blockchain analysis that transforms on-chain data into auditable intelligence with strict provenance and safety controls. It's designed for analysts, traders, security teams, and developers working with blockchain data across multiple AI platforms.
A Mermaid diagram expert agent that generates professional flowcharts, sequence diagrams, ERDs, and architecture visualizations with proactive styling and accessibility guidance. Ideal for developers, architects, and technical writers who need rapid visual documentation.
A system prompt for Ember, an AI assistant designed to operate within containerized environments with full command execution and credential access capabilities. Primarily useful for developers building or testing emberd agent infrastructure.
AI Agents provides a framework for designing accountable, self-learning agents that operate within organizations through defined lifecycle stages, interaction patterns, and governance controls. It benefits teams building AI-native organizations who need structured approaches to agent deployment, oversight, and human-AI collaboration.
A1-Vision is a vision-aware system prompt that enables AI assistants to understand screenshots, UI elements, and on-screen text while leveraging memory retrieval and structured reasoning. It's useful for developers building vision-capable AI agents across multiple platforms (Claude, ChatGPT, Cursor, Windsurf).
