Paraprompt is an open prompt registry — a community-curated library of AI prompts, prompt techniques and prompt templates for every major model (ChatGPT, Claude, Gemini, Deepseek, Llama, Mistral, and image/video/audio models). Browse, fork, share, and run prompts directly from the hub or via our Chrome extension.

A prompt registry is to AI prompts what npm is to JavaScript packages or GitHub is to source code: a central, searchable, versioned home where prompts are discovered, shared, attributed and improved by a community. Paraprompt is the open prompt registry for the LLM era.

Paraprompt is model-agnostic. Prompts are tagged with the models they were designed for — including ChatGPT/GPT-4o, Claude (Opus, Sonnet, Haiku), Gemini Pro, Deepseek, Llama 3, Mistral/Mixtral, Qwen, Grok, Perplexity, and image/video models like Midjourney, Stable Diffusion, DALL·E, Sora and Runway.

Every prompt is tagged with one of five canonical techniques: Basic (zero-shot), Few-Shot, Chain-of-Thought (CoT), Tree-of-Thought (ToT), and Retrieval-Augmented Generation (RAG). Each technique has a dedicated guide on Paraprompt explaining when and how to use it.

Yes. Browsing, searching, downloading and sharing prompts is free. Account creation is free. The browser extension is free.

Paraprompt is open and community-first: prompts are tagged by technique, ranked by community signals (likes, power, funny), grouped into collections, and accessible from anywhere via our extension. There is no marketplace gate — every prompt is free to use and remix.

Yes — sign in, create prompts in the hub, organise them into collections, and access them from any browser tab via the Paraprompt Chrome extension. You decide whether each prompt is private or public.

The Paraprompt Chrome extension is a side panel that surfaces your prompts on every page — including ChatGPT, Claude.ai, Gemini and any text input. Trigger any prompt by shortcut, fill in template variables on the fly, and paste straight into the model's UI.

Zero-shot gives the model a direct instruction with no examples. Few-shot provides 2–8 worked examples to anchor format and tone. Chain-of-Thought adds an explicit "think step by step" trigger so the model reasons before answering — best for math, logic and multi-step problems.

Use RAG (Retrieval-Augmented Generation) any time the answer depends on data the model wasn't trained on — your docs, tickets, code, or anything that changes after the model's cutoff. Pair RAG with explicit grounding instructions and citations for the highest factual accuracy.

Yes. Prompts on the hub support text, image, audio and video previews — so a Midjourney prompt shows the rendered image, a Suno prompt plays the generated audio, and a Sora prompt embeds the video output.

Most prompts on Paraprompt are shared by their authors for free reuse. Each prompt page shows attribution; check the author's note for any specific terms.