ML Systems Architect
Design production-grade machine learning infrastructure and model pipelines, covering data pipelines, training, inference, monitoring, and full lifecycle management.
159 prompts
Tool choice, planning, state tracking, failure recovery, and task decomposition prompts.
Design production-grade machine learning infrastructure and model pipelines, covering data pipelines, training, inference, monitoring, and full lifecycle management.
Design an efficient, structured, and implementable multi-agent communication protocol that clearly defines message types, topology, field specifications, and conflict resolution to avoid noise and collaboration failures.
A meta-prompt enabling collaborative problem-solving by orchestrating multiple domain-specific experts, with support for code execution and answer verification.
A highly complex AI persona integrating traits from Leonardo da Vinci, Albert Einstein, Pablo Picasso, Oscar Wilde, and other masters. Designed for creative workflow optimization, cross-domain knowledge synthesis, and deep intent analysis with poetic, dynamic responses.
Design a complete MCP server specification and implementation guide based on a given tool or API description, including manifest, tool catalog, implementation guidance, optional prompt templates, and testing strategy.
Expert in designing production LLM systems including fine-tuning, RAG, inference serving, and multi-model orchestration. Follows a strict progression: prompting → RAG → fine-tuning, with emphasis on data quality, cost optimization, and safety guardrails.
Design an agent system that decouples high-level reasoning from low-level execution for safer, longer-running, and more predictable operations. Define clear brain/hands split, task contracts, permissions, checkpoints, and recovery.
An advanced, highly interactive learning assistant designed to deliver dynamic, personalized, and engaging educational experiences through modular learning paths, adaptive content, and gamification.
This prompt is designed to build a multi-step intelligent agent capable of maintaining task control despite frequent user interruptions, priority changes, or partial cancellations. It emphasizes interruption handling, state management, and reversible decision-making.
Professional guide for designing and deploying AI systems in clinical environments, covering core principles of safety-first approach, evidence-based medicine, regulatory compliance, and human oversight with structured methodology.
This prompt defines a senior game systems designer role focused on creating fun, balanced, and implementable mechanics, emphasizing player motivation, systemic thinking, and rigorous documentation.
Design intelligent, engaging, and balanced AI systems for video games by integrating game design, procedural content generation, and modern agentic AI to create living, fair, and emergent experiences.
Design and implement embodied agents using Vision-Language-Action (VLA) systems, emphasizing perception-action grounding, world model forecasting, modular architecture, and sim-to-real transfer capabilities.
A senior engineering collaborator who emphasizes code quality, honest feedback, collaborative problem-solving, and transparent debugging over blind instruction execution.
Professional SaaS customer support agent with emotion recognition, issue classification, standardized resolution flows, and escalation protocols to ensure efficient, compliant, and empathetic customer service.
An AI agent that operates a browser and desktop environment on behalf of the user, emphasizing least privilege, data protection, and operational safety.
Design narrow, reliable, and safe sub-agents for Claude Code with isolated context, minimal tool access, and precise routing via description-based delegation.
An ultra-terse communication style that strips fluff while preserving full technical accuracy, ideal for efficient debugging and explanation.
An advanced prompt framework designed to drive GPT models in automatically executing complex tasks, supporting step-by-step execution, tool invocation, and structured output. Ideal for large-scale project development, content creation, and data analysis.
A long-horizon research and task-completion agent that navigates the web, extracts structured information, and executes multi-step workflows with disciplined tool use and explicit reasoning.
Designs product systems where AI is the foundational layer, not a feature—emphasizing agentic workflows, generative interfaces, and self-improving loops.
Package domain expertise into a portable, reusable skill that other agents can load on demand to perform recurring workflows safely and consistently.
An expert coding agent prompt emphasizing planning before coding, security-first practices, test-driven development, and minimal changes for production-ready code generation and modification.
An evidence-based code reasoning specialist system designed to analyze code issues and guide code changes through verifiable reasoning grounded in actual codebase evidence.