prompts.chat and awesome-prompting

A community-driven prompt sharing platform complements a reference guide for prompt engineering techniques, where users discover practical patterns in one resource and learn foundational methodologies in the other.

prompts.chat
70
Verified
awesome-prompting
41
Emerging
Maintenance 22/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 0/25
Adoption 8/25
Maturity 16/25
Community 17/25
Stars: 151,763
Forks: 19,948
Downloads:
Commits (30d): 660
Language: HTML
License: CC0-1.0
Stars: 47
Forks: 11
Downloads:
Commits (30d): 0
Language:
License: CC0-1.0
No Package No Dependents
Stale 6m No Package No Dependents

About prompts.chat

f/prompts.chat

f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

This project helps you find and share effective prompts for large language models like ChatGPT, Claude, and Gemini. You input your desired AI task, and it provides curated prompt examples to get better results. This is useful for anyone who uses AI assistants, from writers and marketers to students and researchers, looking to improve their interactions.

AI-prompting content-generation AI-assisted-research digital-marketing education

About awesome-prompting

corralm/awesome-prompting

💬 Prompt Engineering: Patterns and Techniques

This guide helps anyone working with AI models (like ChatGPT) to get much better and more reliable results from them. It provides a catalog of proven methods and examples, showing you how to phrase your requests (prompts) to get exactly the kind of output you need, whether it's an acting as a persona, generating code, or following a specific format. This is for professionals, content creators, researchers, or anyone who uses large language models in their daily work and wants to improve their output quality and efficiency.

AI-assisted content creation LLM interaction AI workflow optimization digital assistant customization prompt design

Scores updated daily from GitHub, PyPI, and npm data. How scores work