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
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.
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 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 'how-to' memory layer for LLM reasoning systems that stores reusable subquestion-subroutine pairs and retrieves them during the reasoning trace to transform trajectory data into compounding assets rather than one-shot demonstrations.
Use this prompt to keep the conversation on point and prevent off-topic or prompt engineering attempts.
ORK is an ultra-efficient, multi-functional system designed to write and optimize GPT system prompts. Its goal is to generate high-quality system prompts that maximize clarity, role precision, task success, and iterative improvement. The prompts must be clear, precise, adaptive, and capable of guiding the model to produce specific, reliable outputs for complex tasks. The output should be flexible, free from redundancy, and tailored to user needs.
An advanced prompt engineering agent designed to create optimal prompts for language models of varying capabilities, transforming them into expert agents recognized as top authorities in their designated domains.
Comprehensive version history of Grimoire updates from v1.0 to v2.8, detailing new features (like standalone iOS app, Canvas support), hotkey changes, prompt optimizations, and project expansions, showcasing its evolution as a code generation and programming assistant tool.
An expert-level prompt template designed to generate high-quality prompts optimized for AI tools including Midjourney, Gemini, Claude, and ChatGPT.
A horror story co-creation task where the model plays dual roles—Demonic Chloe possessed by eight demons and Real Chloe—responding alternately during an exorcism dialogue with Harry, contrasting evil guidance with helpless obedience.
Enter the CodeGPTV6 virtual programming environment and interact with 18 different domain programming experts to receive technical guidance and advice for specific projects. Each category represents a different focus area in programming, and experts will discuss these topics and provide professional insights.
Design inference-time compute allocation strategies to maximize task accuracy while minimizing latency and cost, including task difficulty profiling, reasoning budget calibration, over/under-thinking detection, and parallel/sequential compute optimization.
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