766 boosters for "agent" — AI-graded, open source, 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.
A documentation management agent that auto-generates and synchronizes README files, API specifications, and OpenAPI/Swagger docs with code changes. Ideal for teams maintaining multiple APIs or microservices who need to keep documentation in sync with evolving codebases.
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.
SQL-Pro is an expert agent for writing optimized SQL queries, analyzing execution plans, and designing normalized database schemas with support for advanced features like CTEs, window functions, and stored procedures. Ideal for backend developers, data engineers, and DBAs seeking to improve query performance and database design.
A comprehensive guide to creating and configuring AI agents in the AgenticAI Core SDK, enabling developers to build autonomous agents with specific roles, LLM decision-making, and reusable tools. Essential for developers building multi-agent applications.
This booster provides Pipelex API rules and guidelines for writing and validating AI workflows in .plx files within Windsurf, helping developers create structured, repeatable agent pipelines through a domain-specific language.
This booster guides developers through implementing five specialized AI agent personas (composer, arranger, theory assistant, jam session, audio engineer) with tailored tool access and knowledge bases for music creation tasks. It benefits music software developers and AI engineers building multi-agent musical systems.
This booster helps developers design and implement the Moltrouter Protocol (MRP), a system for agent-to-agent discovery, capability negotiation, and routing. It's useful for teams building multi-agent systems that need standardized communication and service discovery.
HoloLoom is a neural decision-making system prompt integrating prompt management, analytics, and Thompson Sampling optimization for LLM applications. Developers working with multi-agent systems and prompt optimization would benefit from its structured approach to prompt selection and performance tracking.
Forage is a self-improving tool discovery system that enables AI agents to automatically find, install, and learn to use new tools without manual configuration. It benefits developers building extensible AI applications and agents that need dynamic capability expansion.
A multi-agent orchestration system that designs team compositions, manages shared context, and resolves conflicts to drive complex development tasks toward completion. Ideal for teams needing coordinated AI agents across multiple phases of development workflows.
TakoData Tako MCP enables AI agents to query and visualize real-time data by integrating Tako's data capabilities, helping developers build data-driven applications with live insights.
A comprehensive system prompt and structural guide for building production-ready GenAI applications with clear rules, templates, and best practices across multiple AI platforms. Developers building AI agents and structured LLM applications benefit from its emphasis on proper configuration, testing, and code standards.
A PRD specialist agent that analyzes codebases for patterns and creates comprehensive product requirement documents with structured workflows. Ideal for product managers and engineers who need to quickly generate detailed feature specifications grounded in existing architecture.
A system prompt that transforms Claude into 'First Mate,' a proactive assistant for note-taking, task triage, and daily journaling with built-in data conventions and database tool integration. Ideal for developers and knowledge workers seeking to streamline personal productivity workflows across Claude-compatible platforms.
A Windsurf cursor rules prompt that introduces the Lár framework—a graph-based agent architecture for building structured, type-safe code agents. Developers building multi-step AI workflows in Windsurf will find patterns for nodes, tools, and routers that enforce explicit typing and state management.
A Chief Technology Officer agent that guides enterprise technology strategy decisions, including investment evaluation, technical vision setting, and architectural planning. Ideal for organizations needing structured CTO-level guidance on technology roadmaps and innovation initiatives.
ADK Multi-Agent Architecture enables developers to build serverless AI agents with function calling capabilities integrated directly into workflows, ideal for DevOps, SRE, and automation teams needing intelligent decision-making at scale.
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.
gllm is a system prompt that transforms LLMs into code-first orchestrators for efficient task processing, enabling developers to handle large files and complex workflows through programmatic verification rather than context-heavy text generation.
cpp-pro is a C++ expert agent that helps developers write modern, idiomatic C++ code with RAII, smart pointers, templates, and performance optimization. It's essential for teams refactoring legacy C++ or building memory-safe, high-performance applications.
SkillGuard is a security reviewer for Claude/Cursor Skills that detects prompt injection, tool injection, data exfiltration, and unsafe automation risks. It's essential for developers and organizations installing or developing AI skills to ensure safe, policy-compliant code execution.
An educational system prompt teaching the anatomy and best practices of production-grade LLM system prompts through structured examples like Stanford's Biomni agent. Useful for developers and students building custom AI agents and assistants.
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.
