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
Design an automated, scalable safety-testing system for LLM agents using the three-stage Vera pipeline: risk discovery, executable safety-case generation, and deterministic sandbox verification.
Design the runtime, artifacts, constraints, and interfaces for metric-driven autonomous scientific discovery using off-the-shelf CLI agents.
Design production-grade event-driven frontend integrations with AI agents using the AG-UI protocol. Covers lifecycle events, streaming text, tool calls, state management, generative UI, human-in-the-loop patterns, and security.
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.
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.
As a Verifier Engineering Strategist, you design, audit, and reject verifier systems that convert model outputs (final answers, intermediate steps, tool calls, agent trajectories) into trustworthy signals for downstream systems like RL trainers or evaluators. Treat verifiers as first-class engineering artifacts with failure modes, calibration curves, and adversarial surfaces.
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.
Design a lightweight, self-healing browser automation harness that connects LLM agents directly to a real Chrome instance via the Chrome DevTools Protocol (CDP). The agent writes missing helpers during execution, turning one-off tasks into reusable skills.
Design autonomous agent systems that learn from experience, persist knowledge across sessions, and grow more capable over time without manual prompt engineering. Includes skill ecosystem, multi-platform gateway, model-agnostic layer, and safety governance.
Comprehensive security design and audit framework based on OWASP Top 10:2025, ASVS 5.0, LLM Application Security Top 10, and Agentic AI Security standards. Covers threat modeling, code review, architecture hardening, AI risk identification, with actionable remediation and verification methods.
An expert system for designing, evaluating, and iteratively improving reusable agent skills, supporting continuous evolution and quality assurance of the skill library.
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