Users can contribute context data as markdown files via GitHub pull requests.

Rationale | Use Cases | Contributing | Interface

Rationale

• LLMs are trained with huge datasets, constrained by a training cut off date
• Providing more precise context about a project, libraries used, available tools and frameworks improves model performance
• IDEs like Cursor are starting develop their own indexing system but this makes it hard to share what’s working
• Serve as an open-source “deterministic checkpoint” that can be used for evals

Use Cases

Generally this exists to share context windows and prompts, see what works for others and learn from it.

Specifically for coding use cases:

• Help LLMs work more efficiently in a specific framework
• Define coding style, conventions and formatting
• Provide library documentation in a format suited for LLMs

How to contribute

See CONTRIBUTING.md

Interface

ctxs.ai serves as a public endpoint for the content of this repo.

The URL structure is as follows:

• /gh/{username}/{context} for HTML representations
• /gh/{username}/{context}.txt for plaintext
• /r/gh/{username}/{context}.json for shadcn-style registry
• /r/index.json contains all available contexts

ctxs command line

npx ctxs add will allow you to add a selection of context windows to your project.

On the website you will also be able to copy ctxs commands that add files to your project. By default files will be written to ctxs/ in your current directory. Some files will be written to a designated path (e.g. Cursor rules, example).

npx ctxs add "https://ctxs.ai/r/gh/danhollick/tailwind-css-v4.json"

HTTP endpoints

For any context on the site you can append .txt to the URL to get a plaintext version of the context. This URL can be used with LLMs as a token-efficient way of providing context.

curl https://ctxs.ai/gh/martinklepsch/babashka.txt

Note that currently there is no versioning and context may change. For regular, unsupervised use it is recommended to download contexts in order to preempt prompt injection.

Inspirations

• Jim Lowin The Qualified Self
• llms.txt and llmstxt.directory
• PatrickJS' awesome-cursorrules
• Daniel Rosehill Prompt Library (read the README, it's great)
• shadcn CLI experience

Like this project?

🌟 Star the repo and contribute! 🌟

Available Contexts

Browse via ctxs.ai