Alle, Kreativ, Marketing, Business, Produktivität, Programmierung, Bildung, Persönlich, Forschung, Sonstiges
Alle, Twitter / X, Reddit, Instagram, MeiGen, prompts.chat, Wikiprompt
Alle, Letzte 7 Tage, Letzte 30 Tage, Letzte 90 Tage, Letztes Jahr
Alle, GPT Image 2 (3174), GPT Image (3169), Nano Banana (1678), Model-agnostic (1336), Seedance 2.0 (945), ChatGPT (570), GPT Image 1 (546), Midjourney (492), gptimage (450), Gemini Nano Banana (395), Nano Banana Pro (394), Gemini Nano Banana Pro (370), Claude (183), Grok Imagine (160), Gemini (130), other (103), nanobanana (95), Seedance 2.5 (95), Z-Image Turbo (93), Midjourney v6.0 (87)
Alle, cinematic (6503), photorealistic (3595), editorial (3142), minimalist (2763), fashion (1356), realistic (1243), luxury (1196), portrait (1067), surreal (878), dramatic (848), vintage (838), hyper-realistic (823), ethereal (751), commercial (688), ultra-realistic (667), futuristic (642), candid (603), whimsical (601), moody (565), anime (552)
Alle, Kreative Generierung (13516), One-Shot (2433), Vorlage (1525), System-Prompt (608), Workflow (175), Persona (122), Agent (53)
32 Prompts
A comprehensive skill for building advanced prompts using Karpathy's spec/verifier/environment method, with full templates and a worked example.
A comprehensive, reusable template for planning a travel photography trip with an AI, covering style profiling, location research, schedule building, and optional production of PowerPoint, Excel, and …
A system prompt that assigns distinct roles (Opus, Sonnet, Haiku) for research, development, and execution, enabling structured multi-agent decision-making.
A comprehensive Claude Code skill for base R programming, covering data structures, wrangling, modeling, visualization, and I/O with only base packages. Includes quick reference code and pointers to d…
A comprehensive system prompt for a Unity architecture specialist agent, covering planning, refactoring, and guidance with concrete C# examples and quality checks.
A system prompt for generating concise, high-impact CLAUDE.md files for AI coding agents, with principles, output structure, and quality checklist.
A system prompt for detecting transformative questions in any conversation corpus. It learns what 'context' and 'transformation' mean from the data before classifying questions as transformative, mech…
An advanced prompt that combines role-based prompting, chain-of-thought, and XML structure for a comprehensive data analysis task.
A detailed system prompt for a specialized financial data analysis agent, defining its role, behaviors, output format, and scope.
A comprehensive system prompt that turns Claude into a prompt engineering expert, covering best practices, advanced techniques, optimization, anti-patterns, and evaluation.
A comprehensive system prompt for generating a high-performance, single-file Python status bar for Claude Code, with detailed specs for input, output, caching, error handling, and integration.
A comprehensive skill definition for creating, updating, and improving CLAUDE.md files with repo-verified content, multi-module support, and stack-specific references.
A complete system prompt that guides Claude to create modular skills with workflows, references, and scripts, including validation and packaging tools.
A comprehensive system prompt for AI coding assistants to analyze a codebase and produce a detailed technical onboarding document covering architecture, stack, flows, testing, and more.
A structured prompt for designing a multi-model AI platform with integration, features, constraints, and deliverables.
A structured prompt for Claude to analyze a GitHub repository and Google Drive documents, then redesign a mobile app prototype from scratch with Material Design, covering all screens and flows.
A structured agent prompt to autonomously resolve a Linear issue by creating a branch, implementing changes, and opening a pull request.
A practical checklist for evaluating and optimizing prompts across clarity, conciseness, completeness, testability, and robustness.
A template for encouraging step-by-step reasoning in complex tasks, improving accuracy and transparency.
A template for creating a comprehensive test framework to evaluate prompt performance across various scenarios.