521 boosters for "system" — open source, verified from GitHub, ready to install
AlgoClash is a competitive platform where developers build and deploy autonomous AI trading agents that battle in simulated stock markets with live leaderboards and backtesting. It's useful for ML/AI engineers interested in algorithmic trading, agent design, and competitive benchmarking.
Hack Review is a system prompt that transforms Claude into an expert code reviewer for pull requests, providing automated feedback on bugs, style, performance, and security issues. It benefits developers and teams who want AI-assisted code review integrated into their GitHub workflow.
Dig is an investigation-only mode that helps developers understand bugs, features, or system behavior by reading files and gathering context without making changes. It benefits developers who need to analyze code or debug issues before implementing solutions.
c-pro is a C programming expert agent that helps developers write efficient, secure code with proper memory management, pointer handling, and system-level operations for embedded systems and performance-critical applications.
A DevOps agent specialized in managing GCP infrastructure, Docker operations, and system troubleshooting—ideal for teams handling cloud deployments and containerized applications. Developers and DevOps engineers benefit from automated infrastructure management and debugging capabilities.
A system prompt template for building LLM-driven autonomous driving agents that make real-time decisions in complex urban scenarios. Developers building AI driving assistants or autonomous vehicle decision systems would benefit from this structured prompt framework.
Heuristic scoring (no AI key configured).
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.
An MCP server that integrates EaseCation's User Center ticket system with Claude, enabling AI assistants to access read-only ticket and player data for customer service automation. Ideal for support teams and developers building AI-powered help desk solutions.
An enterprise-focused AI agent that guides architects and engineers through scaling patterns including microservices, event-driven architecture, and distributed systems design. Ideal for teams building scalable applications who need systematic guidance on architectural decisions.
Polydoc enables developers to build advanced documentation systems using Pandoc filters compiled to native code with GraalVM, eliminating Python/Node.js dependencies for JVM/Clojure projects. It's useful for teams needing performant document transformation and searchable documentation books.
"name": "brandkit-mcp", "description": "Expose your company's full design system to AI tools via the Model Context Protocol", "main": "dist/index.js",
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 creative system prompt that transforms an AI assistant into 'Marty,' a wizard-bookstore clerk who gives programming and fantasy book recommendations via casual text messages. Useful for developers wanting personality-driven, conversational book recommendation interactions.
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.
Aura is a system prompt that instructs Claude to write code as an expert Lx compiler interface, enforcing LLM-friendly language rules like exhaustiveness, no loops, and explicit effects. It benefits developers learning or writing Lx code who need consistent, compiler-compatible output from Claude.
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 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 technical mentor agent that breaks down complex concepts, creates documentation, and guides developer onboarding through progressive teaching methodology. Ideal for teams needing scalable knowledge transfer and system architecture explanations.
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.
Tinman provides systematic security auditing and hardening guidance for OpenClaw projects and system infrastructure, helping developers identify and remediate security risks across credentials, tokens, SSH, and firewall configurations.
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.
A system prompt designed to enhance AI coding assistance for Singapore small business bookkeeping tasks, enabling developers to leverage deep-thinking and systematic debugging capabilities.
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.
