What it is
Awesome ChatGPT Prompts is an open-source, community-curated repository of prompts (instruction templates and examples) intended for use with ChatGPT and other chat-based large language models. The project collects user-contributed prompts, organizes them in PROMPTS.md and prompts.csv, and provides a hosted browsable interface at prompts.chat.
Key features
- Community contributions: prompts are added and curated by contributors; the repo displays contributor stats and makes it easy to contribute.
- Multiple access points: prompts are available directly in the GitHub repository (PROMPTS.md and prompts.csv) and synced to a searchable web UI at https://prompts.chat.
- Self-hosting: the repository includes a Self-Hosting Guide and a quick-start (npx prompts.chat) so teams can run a private prompt library with branding, authentication, and feature toggles.
- License: all prompts are published under CC0 1.0 Universal (public domain), allowing free use, modification, and commercial use without attribution.
- Interoperability: while created originally for ChatGPT, the prompts are applicable to other chat models (Claude, Gemini, Hugging Face Chat, Llama, Mistral, etc.).
- Data export: the collection is available in CSV form (prompts.csv) and is also exposed as a dataset view on community platforms for analysis and bulk use.
Typical uses
- Quickly find high-quality prompt templates for tasks (writing, coding, roleplay, debugging, planning, etc.).
- Build a private prompt library for an organization by self-hosting the prompts.chat instance.
- Analyze prompt patterns or generate new prompts by using the CSV/dataset exports.
Notable metadata
- GitHub stars (as collected): 141,647 (indicative of wide usage and popularity).
- Repository creation date: 2022-12-05.
- Maintained as a community project with many contributors; the README points to PROMPTS.md when the README became too large.
Why it matters
Prompt engineering and prompt libraries lower the barrier to producing consistent, high-quality outputs from LLMs. By centralizing community knowledge and providing tooling for self-hosting and export, this project helps individuals and teams standardize prompt usage and share best practices across different LLM platforms.
