awesome-gemini-prompts and awesome-gemini-ai

These are competitors—both curate collections of prompts specifically for Google's Gemini API, serving the same end-user need to discover and reuse high-quality prompts without technical differentiation beyond curation scope and source diversity.

awesome-gemini-prompts
53
Established
awesome-gemini-ai
37
Emerging
Maintenance 6/25
Adoption 10/25
Maturity 16/25
Community 21/25
Maintenance 6/25
Adoption 10/25
Maturity 5/25
Community 16/25
Stars: 424
Forks: 65
Downloads:
Commits (30d): 0
Language:
License: CC0-1.0
Stars: 622
Forks: 55
Downloads:
Commits (30d): 0
Language:
License:
No Package No Dependents
No License No Package No Dependents

About awesome-gemini-prompts

langgptai/awesome-gemini-prompts

Gemini Prompts, Gemini 3 Prompts, jailbreak, LLM Prompts, LangGPT —— by 云中江树

This collection of prompts helps you get the most out of Google's Gemini AI assistant. It provides specific examples and best practices for writing effective instructions, allowing you to get better, more relevant text responses from the AI. Anyone who uses Gemini for writing, brainstorming, or information retrieval will find this useful.

AI-assistant-use prompt-engineering content-creation idea-generation AI-productivity

About awesome-gemini-ai

ZeroLu/awesome-gemini-ai

The ultimate collection of Awesome Gemini Prompts, use cases, and examples. Curated from X (Twitter), Reddit, and top prompt engineers. Includes prompts for coding, agents, design, and productivity using Google Gemini 1.5 Pro and Ultra.

This collection helps digital creators and designers get the most out of Google Gemini's AI models. It provides ready-to-use input commands, known as prompts, that generate specific outcomes like website code, UI/UX designs, or creative experiments. Anyone building digital products, designing interfaces, or experimenting with generative AI will find curated examples to enhance their workflow.

Web Development UI/UX Design Generative AI Digital Art Prompt Engineering

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