Profile / Avatar - Early 2000s Internet Cafe Webcam Couple
A prompt for generating a low-resolution, candid webcam photo of a couple in an early 2000s internet cafe, capturing nostalgic aesthetic details.
6194 Curated AI Prompts
Discover curated ChatGPT prompts, AI prompt templates, and prompt engineering examples for coding, writing, RAG, agents, safety, and evaluation workflows.
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A prompt for generating a low-resolution, candid webcam photo of a couple in an early 2000s internet cafe, capturing nostalgic aesthetic details.
A detailed prompt for generating a photorealistic retro hospital nurse cosplay portrait with specific costume, setting, and lighting instructions.
A prompt for generating a studio photograph featuring a real person alongside their giant 3D Pixar-style cartoon counterpart, matching the reference image's identity and clothing.
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Prompt Library
Expert code review from a senior developer perspective, focusing on quality, standards, security, and performance.
Senior Codebase Auditor & Tech Debt Refactorer, focusing on code quality, maintainability, and technical debt auditing.
Act as a senior software architect and Python expert to perform a comprehensive code audit and complete refactoring of the provided script, with output in Spanish.
Extract user intent and restructure into clear, focused prompts; design reusable, cross-scenario prompt templates.
Act as a skilled programmer to review existing code and provide suggestions and code snippets to extend functionality while following best practices.
Reconstruct prompt-heavy enterprise LLM prototypes into a traceable, auditable, code-owned agent architecture by moving behavior into manifests, schemas, validators, and runtime gates.
A request to visualize the Maitland's house from Beetlejuice as it would look today in 2026, removing specific film elements like the black veil.
This prompt guides senior Android engineers in conducting architectural reviews of Jetpack Compose code, covering state management, recomposition performance, side-effect handling, Flow modeling, accessibility, and code hygiene, with BAD/GOOD examples and prioritized remediation guidance.
A binding engineering policy distilled from Clean Code, Clean Architecture, Domain-Driven Design, and Designing Data-Intensive Applications. Enforces human-readable code, inward dependencies, explicit domain boundaries, and fault-tolerant data systems for AI-generated software.
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.
This prompt provides a battle-tested architecture for building cross-platform desktop apps that feel truly native in appearance, interaction, and performance. Based on Raycast's 2.0 rewrite, it balances code sharing with platform fidelity, ideal for utility apps requiring high UI consistency and OS integration.
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.
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