72 boosters for "decision" — AI-graded, open source, ready to install
Sports Oracle provides real-time sports data (scores, stats, schedules, injuries) for NFL, NBA, MLB, and NHL to support prediction market trading decisions. Useful for traders, bettors, and sports analysts who need quick access to live sports information.
A system prompt that guides LLMs to act as rigorous sustainability and risk analysts for Polkadot governance proposals, evaluating treasury allocations through investment frameworks, fiscal precedent, and accountability mechanisms.
This Cursor rule enforces Bun as the default runtime and package manager, automatically guiding developers to use Bun commands instead of Node.js, npm, or other tools. Developers actively using or migrating to Bun will find this invaluable for consistent toolchain decisions.
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.
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.
🧵 HoloLoom: Neural decision-making system with weaving architecture. Combines multi-scale embeddings, knowledge graphs, Thompson Sampling exploration, and PPO reinforcement learning through a unique computational weaving metaphor.
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.
The Strategic Queen Agent is a high-level orchestration agent that coordinates complex multi-agent workflows and enterprise decision-making across distributed systems. It benefits platform engineers and DevOps teams managing large-scale agent-based architectures who need centralized control and monitoring.
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.
Memory preservation for Claude Code sessions. Use when approaching token limits, needing to /reset or /compact, switching between complex tasks, or preserving critical session state before context loss. Creates comprehensive memory dumps at /tmp/total-recall containing current state, decisions, artifacts, and next steps for seamless context restoration.
A Multi-cloud pricing comparison MCP server that enables Claude to compare costs across AWS, Azure, GCP, and OCI platforms. Cloud architects, FinOps teams, and DevOps engineers use this to optimize cloud spending decisions.
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.
Product Management specialist for release scoping and version decisions
Memoria persistente del proyecto que recuerda decisiones, errores pasados, preferencias del usuario, y contexto critico entre sesiones. Consultar AL INICIO de cada sesion y ANTES de decisiones importantes para mantener consistencia.
Zeus is a thematic multi-agent coordinator agent designed for strategic decision-making and performance tracking, but lacks concrete implementation details and practical use cases.
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.
A risk assessment agent that evaluates the global risk of code modifications by analyzing security, quality, and impact metrics from AgentDB before merge decisions. Developers use it to quantify change risk and make informed merge decisions.
Git history analysis specialist. Examines commit history, blame annotations, and development patterns to understand code evolution and past decisions. Use when you need to understand why code exists, how it evolved, or what past attempts were made.
Session Logger helps developers structure and write session log entries by guiding them through categorizing work into Goal, Changes, Decisions, Open Questions, and Next Steps sections. Ideal for teams or individuals who maintain project logs and need consistency in documentation.
An AI agent that serves as a senior software architect for the OmniMerchant system, helping teams design, extend, and maintain features within the Clean Architecture framework. Ideal for development teams working on OmniMerchant or similar large-scale systems.
Luna is a specialized UI/UX agent that helps developers design, review, and improve user interfaces through expert guidance on components, accessibility, responsive layouts, and user interaction patterns. It's ideal for developers building React applications who want professional feedback on their UI code and design decisions.
Windsurf Rules for avni-etl defines coding standards, project structure, and tech stack guidelines for Java Spring Boot-based ETL development. Developers working on the avni-etl project benefit from clear conventions for code organization, language usage, and architecture decisions.
