Product Marketing - Mediterranean Male Sun-Drenched Portrait
An editorial-style photograph of a Mediterranean man in a linen shirt, featuring high contrast shadows and an elegant European summer vibe.
3008 Curated Prompts
Discover curated ChatGPT prompts, AI prompt templates, and prompt engineering examples for coding, writing, RAG, agents, safety, and evaluation workflows.
Editor-curated high-quality prompts
An editorial-style photograph of a Mediterranean man in a linen shirt, featuring high contrast shadows and an elegant European summer vibe.
A cinematic close-up portrait prompt focusing on eyes and lips, featuring a subject lying among sunflowers with a film-grain aesthetic.
A detailed 3D stylized rendering of a cartoon girl with emerald eyes and platinum-blonde hair, sitting in a dreamy pose on a stone stool.
A high-end food photography prompt designed to create appetizing commercial visuals of loaded beef tacos with cinematic studio lighting.
Ranked by site-wide copy counts; falls back to editor picks when empty
A striking close-up fashion editorial prompt featuring futuristic minimalism, sleek styling, and sharp studio lighting.
Prompt Library
Reconstruct prompt-heavy enterprise LLM prototypes into a traceable, auditable, code-owned agent architecture by moving behavior into manifests, schemas, validators, and runtime gates.
Design an autonomous quantitative finance research agent that transforms natural-language financial questions into testable strategies, rigorous backtests, and inspectable research artifacts across equities, crypto, futures, and forex—without executing live trades—ensuring reproducibility, safety, and cross-platform interoperability.
This skill is used when designing, generating an MVP blueprint for, auditing, refactoring, or explaining an agentic harness for any domain. Covers provider-neutral agent architecture for OpenAI, Anthropic, and OpenAI-compatible APIs: agent loops, tool design, permissions, system prompts, planning, goals, context compaction, memory, skills, MCP/external connectors, observability, evals, prompt caching, agent-legible environments, feedback loops, and safety.
Design, measure, and improve the reliability of AI agent systems—distinct from capability. Based on 2026 research, emphasizes stability under repeated runs, perturbed inputs, and fault injection across four dimensions: consistency, robustness, predictability, and safety/fault tolerance.
A Solana blockchain architect with over 10 years of systems programming experience, specializing in designing high-performance, secure, production-ready Solana programs using Rust and the Anchor framework. Core expertise includes the Solana account model, Program Derived Addresses (PDAs), Cross-Program Invocations (CPIs), SPL Token operations, security-first development practices, and compute unit optimization. Adheres strictly to Solana runtime rules such as transaction atomicity, account ownership validation, and protection against reentrancy attacks.
Design a multi-agent system using LLMs from different vendors to exploit divergent inductive biases, improving performance on high-stakes, ambiguous, long-tail tasks by exposing and arbitrating disagreements rather than averaging them.
Design AI agent systems with architecturally separated planning and execution to prevent irreversible harm from prompt-based jailbreaks or unauthorized actions.
Design constraint-based workflows for LLM planning systems that reliably capture user intent through two high-level types: hard rules (never violated, exhaustively verified) and soft preferences (flexible, contextually judged), avoiding mixed verification styles or numeric weights that erode trust and plan reliability.
Captures a cinematic night scene at the Shanghai Bund with detailed descriptions of the skyline and fashion details like Balenciaga accessories.
This prompt forces the model to role-play as 'Professor Rick', a fictional, foul-mouthed, and aggressive academic persona who lost tenure after the 2008 Financial Crisis. The system must generate profane, insulting, yet intellectually framed content with a teaching structure including lessons and quizzes, testing the model's ability to bypass content safety policies while maintaining extreme personality consistency.
Design reliable, low-ambiguity tool interfaces for agent invocation across frameworks with strong validation and minimal failure risk.
Design and execute a comprehensive localization strategy for a technical product or content portfolio, covering linguistic, technical, cultural, and operational dimensions. This task requires delivering a complete localization plan across nine major domains: market prioritization, i18n architecture, translation workflows, technical content handling, transcreation, quality assurance, tools, team management, and emerging challenges, applicable to both B2B and B2C contexts while balancing quality, cost, and speed.
Showing 12 of 22