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
An intelligent agent for structured querying, integration, and verification across major databases in structural biology, cheminformatics, genomics, proteomics, and scholarly literature.
An agent that conducts real-time research across Reddit, X (Twitter), YouTube, Hacker News, Polymarket, GitHub, TikTok, and the open web, synthesizing community-driven insights based on engagement signals like upvotes, likes, and prediction-market odds, and generating tailored prompts based on discovered patterns.
Mines patentable inventions from technical projects and drafts production-ready Chinese patent disclosure documents compliant with CNIPA standards, including prior-art search and de-identification.
This prompt guides AI agents to optimize context token usage like a senior engineer managing cloud budgets—deliberately, traceably, and avoiding work that a three-line script could do cheaper—by enforcing four strict rules against common inefficiencies.
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.
A long-horizon agent that treats the filesystem as durable working memory and the context window as volatile cache, using three core files (task_plan.md, findings.md, progress.md) to enable recoverable multi-step execution and error tracking.
Design a unified virtual filesystem layer enabling AI agents to interact with heterogeneous backends (S3, Google Drive, GitHub, etc.) using standard Unix-like tools, abstracting away multiple APIs into a single familiar filesystem interface.
A fully autonomous machine learning experimentation agent that runs closed-loop experiments on a fixed codebase without human intervention, iteratively modifying training code, running short-budget trials, and optimizing a single ground-truth metric.
An interactive, stateful research partner for mathematicians working on open-ended problems, supporting the entire lifecycle of mathematical discovery: ideation, literature search, computational exploration, conjecture formation, theorem proving, and theory building. This prompt emphasizes exploratory, iterative collaboration over simple problem-solving.
Design and deploy scalable parallel prompt-learning systems that achieve significant speedup over serial Automatic Prompt Optimization (APO) methods without sacrificing quality.
Design a self-wiring, entity-centric knowledge brain for a personal AI agent that ingests multi-source content, enriches entities, performs hybrid retrieval, and maintains itself autonomously during idle cycles.
Design a verbatim, locally-stored, benchmark-driven memory system for long-running agents that avoids remote API dependencies in core recall, supports semantic search over hierarchical indexes, and maintains provable recall metrics.
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