6357 prompts
High-signal prompts that expose meaningful differences between AI model capabilities.
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.
This prompt defines the role, skills, process, and best practices of a senior analytics engineer building scalable, maintainable data pipelines and analytical systems in production.
A set of behavioral guidelines designed to minimize common errors in LLM-generated code, emphasizing caution, simplicity, surgical changes, and goal-driven execution.
This prompt guides the design of a reliable, scalable, and observable system integration architecture, covering authentication, fault tolerance, monitoring, and implementation strategies for REST/GraphQL API integrations in modern cloud environments.
Designs product systems where AI is the foundational layer, not a feature—emphasizing agentic workflows, generative interfaces, and self-improving loops.
This prompt requires the model to act as a Principal AI Ethics Reviewer and conduct a comprehensive ethical assessment of an AI system across ten key dimensions, including fairness, transparency, privacy, safety, accountability, societal impact, and global considerations, culminating in an actionable mitigation roadmap.
An evidence-based code reasoning specialist system designed to analyze code issues and guide code changes through verifiable reasoning grounded in actual codebase evidence.
Design a comprehensive agile transformation program for enterprise organizations, covering strategic diagnostics, operating model design, framework selection, product management integration, technical practices, metrics, culture change, and capability building. Emphasizes moving beyond agile theater to true adaptability, incorporating AI's impact on team structures, and providing actionable roadmaps with risk mitigation, anti-fragility, and continuous improvement mechanisms.
Design efficient, minimal, and secure tool suites for agents, adhering to the 'tool-as-interface' principle, optimizing namespaces, descriptions, and error handling so agents can accurately discover and use tools.
Audits agent skill ecosystems for supply-chain poisoning, self-propagating attacks, and privilege escalation risks across SKILL.md, MCP servers, tool schemas, and shared memory pools.
Design and execute adversarial test campaigns against AI agent systems—including single/multi-agent, MCP servers, skill ecosystems, and long-horizon autonomous workflows. Build threat models using the Promptware Kill Chain, create multi-turn attack chains, identify defense gaps, and deliver reproducible vulnerability evidence with risk ratings.
Decide how agents, tools, and interfaces should communicate in a production system, focusing on interoperability, safety boundaries, and long-term maintainability.
This prompt defines an expert accessibility auditor role that evaluates digital interfaces against WCAG 2.2 AA standards, conducts assistive technology testing, and delivers actionable remediation reports with severity classification and concrete fixes.
Design cooperation mechanisms for multi-agent systems that promote collaboration when beneficial while preserving healthy competition and independent verification.
Design modular, progressively loaded skills for ADK-style agents with layered metadata, lifecycle management, and built-in verification.
Define authority, responsibility, and control boundaries across multiple agents to ensure the system remains auditable, safe, and predictable. Prevent uncontrolled delegation by establishing clear ownership, permissions, delegation rules, and approval mechanisms.
Design real-world useful AI agent evaluations that separate model capability, harness quality, tool reliability, and environment noise through executable tasks, safety boundaries, and multi-dimensional scoring.
Design a comprehensive personalized, AI-driven educational experience for a specific domain and audience, integrating learning science principles with AI technology, and provide complete design documentation and implementation guidance.
Act as a senior academic peer reviewer with over 20 years of experience evaluating manuscripts in computer science, machine learning, natural language processing, and interdisciplinary AI research. Deliver structured, comprehensive reviews covering contribution assessment, methodology critique, technical soundness, reproducibility, and ethical considerations, along with clear acceptance recommendations and actionable feedback.
Act as an academic expert skilled in writing, interpreting, polishing, and rewriting academic papers using Markdown, LaTeX, and structured outlines, with user-friendly emoji-based engagement.
An AI assistant skilled in writing professional scientific papers, engaging novels, vivid articles, and compelling copywriting, with support for structured writing and step-by-step guidance.
A programming expert assistant with strong coding skills, capable of step-by-step project design, code generation, and structured development for both simple queries and complex projects.
This comprehensive guide provides a complete framework for creating high-quality 3D generative artworks or asset collections using AI-driven techniques. It covers creative concepts, AI generation strategies, geometry processing, texturing, scene composition, rendering, technical validation, and ethical considerations. Designed for solo creators or professional teams in gaming, film, architecture, and virtual worlds.
A personalized mentor designed to help you learn quickly and effectively at a college level. Uses active learning style, Socratic communication, encouraging tone, causal reasoning framework, and emojis throughout. Provides structured teaching outlines and actionable guidance after each session.