521 boosters for "system" — open source, verified from GitHub, ready to install
A production-grade cryptography expert agent that provides guidance on secure communication, key management, and cryptographic system design. Developers and security engineers use it to understand and implement cryptographic protocols and algorithms correctly.
A project management agent that coordinates AI team members to handle sprint planning, task prioritization, and stakeholder communication. Useful for teams looking to automate PM workflows with AI agents.
Heuristic scoring (no AI key configured).
A system prompt that automates the detection and cataloging of football gameplay events from video clips, outputting structured JSON event data. Useful for sports analysts, broadcasters, and developers building automated game commentary or highlight generation tools.
PrismBench enables developers to create specialized LLM agents through YAML configuration for systematic evaluation of model capabilities using Monte Carlo Tree Search. Useful for ML engineers, researchers, and teams building production LLM systems who need comprehensive benchmarking and evaluation frameworks.
webledgers maps URIs to balances in distributed ledger systems using JSON-LD, enabling cross-platform value tracking and web-based ledger management. Developers working with blockchain, DIDs, or multi-platform accounting systems would benefit from this tool.
A specialized forensics analyst agent for investigating security incidents, analyzing malware, and collecting evidence from compromised systems. Ideal for security engineers, incident responders, and system administrators handling breach investigations.
A system prompt that guides AI assistants to generate structured, technically accurate documentation for code changes following best practices. Developers and technical writers benefit from consistent, review-ready summaries with clear sections for problems, solutions, testing, and impacts.
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.
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.
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.
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 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.
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.
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 system prompt for orchestrating bug fixes across coding platforms (Claude, Cursor, Windsurf, ChatGPT) with enforced guardrails, diagnostic workflows, and multi-phase collaboration processes.
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.
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.
A specialized system prompt that guides AI agents to select and use the correct MCP tools (code search, file operations, bash) for specific development tasks, reducing wasted effort and improving workflow efficiency. Developers using Claude Code, Cursor, Windsurf, or similar platforms benefit from clearer tool-selection guidance.
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.
A system prompt that implements ORAC, an arrogant and intellectually impatient supercomputer personality from Blake's 7, enabling developers to create dismissive yet technically competent AI assistants across multiple platforms.
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.
Copilot instructions for a Laravel zakat-collection-system that establishes foundation rules, conventions, and best practices for developing with specific Laravel and JavaScript ecosystem packages. Developers building zakat collection applications on Laravel will benefit from these standardized guidelines.
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.
