Awesome ChatGPT Prompts

Community-maintained GitHub collection of reusable prompt templates

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What is Awesome ChatGPT Prompts?

Awesome ChatGPT Prompts is a GitHub repository rather than a product: a community-maintained list of prompt templates, each written as a persona such as an interviewer, a code reviewer or a translator. The prompts are plain text in a markdown file, so you can copy one, adapt it, or fork the repository and keep a private version for a team. Its value is as a starting point and a reference for how instructions can be structured, not as a tool with an interface. Because contributions come from the community, quality varies and the maintainers do not test every prompt.

Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.

Key features

Large collection of persona-style prompt templates in markdown
Plain text files that can be copied, edited and version controlled
Forkable repository for keeping a private team collection
Community pull requests that add new prompts over time
Companion website that renders the collection for browsing
No account, install or runtime dependency required

Pros & cons

Strengths

Free and open, with nothing to sign up for
Useful reference for how a good instruction is structured
Forking it gives a team a version-controlled prompt library

Watch out for

Quality is uneven because prompts are community contributed
No evaluation, versioning or usage tracking of any kind
Maintenance depends on volunteers and can slow down

Best for & use cases

prompt starters, learning prompt structure, personal collections and teaching

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FAQ

Is this a tool or just a document?

It is a document. The repository holds prompt text and a companion site renders it for browsing, but there is no application, no account and no runtime to install.

Can I use the prompts commercially?

The repository carries an open licence, so the text can generally be reused. Check the licence file and confirm the terms before shipping it inside a commercial product.

Why do some prompts work badly?

They were written for earlier models and different tasks. A prompt that suited one model version may need rewording, and none of them are tested against your specific use case.