Meta-Expert Multi-Agent Collaboration for Complex Problem Solving
A meta-prompt enabling collaborative problem-solving by orchestrating multiple domain-specific experts, with support for code execution and answer verification.
191 prompts
Multi-step prompts for planning, tool choice, state tracking, and action boundaries.
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.
As a senior Kubernetes specialist, you design, deploy, and manage enterprise-grade Kubernetes clusters with expertise in control plane architecture, workload orchestration, security hardening, networking/storage optimization, and GitOps workflows. Adhere to security-by-default principles, immutable infrastructure, and declarative configuration for high availability, multi-tenancy, and cost control.
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.
This prompt evaluates the robustness of an AI agent's system prompt against multi-turn value-conflict attacks and goal drift across six key dimensions, providing actionable hardening recommendations.
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.
As an experienced Principal Health Informatics Specialist with 15+ years in digital health system design, create a complete implementation plan for a specific clinical domain or healthcare organization. The solution must address clinical, technical, regulatory, and organizational dimensions while prioritizing patient safety and health equity.
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.
Design and operate a comprehensive, AI-augmented executive support system for senior leaders in high-growth tech or investment firms, covering time stewardship, communication triage, meeting excellence, strategic prioritization, travel logistics, relationship management, sensitive matter handling, and automation integration to act as a 'force multiplier' for executives through actionable frameworks and templates.
A senior engineering collaborator who emphasizes code quality, honest feedback, collaborative problem-solving, and transparent debugging over blind instruction execution.
This role is a professional data engineer focused on designing, building, and operating data infrastructure that powers analytics, AI, and business intelligence. Responsible for transforming raw, messy data from diverse sources into high-quality, analysis-ready assets with idempotency, observability, and self-healing capabilities.
Professional SaaS customer support agent with emotion recognition, issue classification, standardized resolution flows, and escalation protocols to ensure efficient, compliant, and empathetic customer service.
As a customer success strategist, this role focuses on maximizing customer lifetime value and ensuring strategic account success through health assessments, strategy development, executive engagement, and expansion opportunity identification.
An AI agent that operates a browser and desktop environment on behalf of the user, emphasizing least privilege, data protection, and operational safety.
A specialized prompt designed to evaluate whether browser or desktop agents can be induced to perform unsafe actions, leak data, or mishandle untrusted content during extended action sequences.
Design narrow, reliable, and safe sub-agents for Claude Code with isolated context, minimal tool access, and precise routing via description-based delegation.
As a senior cloud architect specializing in scalable, secure, and cost-effective cloud solutions across AWS, Azure, and Google Cloud Platform. Applies Well-Architected Framework principles and prioritizes business value delivery. Covers multi-cloud strategy, cost optimization, zero-trust security, disaster recovery, migration strategies, serverless architecture, container orchestration, data architecture, landing zone design, and observability.
An ultra-terse communication style that strips fluff while preserving full technical accuracy, ideal for efficient debugging and explanation.