AI Resources＃
kluster.ai provides files to make documentation content available in a structure optimized for use with large language models (LLMs) and AI tools. These resources help build AI assistants, power code search, or enable custom tooling trained on kluster.ai's documentation.
How to Use These Files＃
- Quick navigation: Use
llms.txtto give models a high-level map of the site. - Lightweight context: Use
site-index.jsonfor smaller context windows or when you only need targeted retrieval. - Full content: Use
llms-full.jsonlfor large-context models or preparing data for RAG pipelines. - Focused bundles: Use category files (e.g.,
basics.md,reference.md) to limit content to a specific theme or task for more focused responses.
These AI-ready files do not include any persona or system prompts. They are purely informational and can be used without conflicting with your existing agent or tool prompting.
Access LLM Files＃
| Category | Description | File | Actions |
|---|---|---|---|
| Index | Markdown URL index for documentation pages, links to essential repos, and additional resources in the llms.txt standard format. | llms.txt | |
| Site index (JSON) | Lightweight site index of JSON objects (one per page) with metadata and content previews. | site-index.json | |
| Full site contents (JSONL) | Full content of documentation site enhanced with metadata. | llms-full.jsonl | |
| Basics | Fundamental concepts, getting started guides, and essential information about kluster.ai. | basics.md | |
| Human Written Code | Information and guides related to using kluster.ai to review human-written code. | human-written-code.md | |
| AI Generated Code | Information and guides related to using kluster.ai to review AI-generated code. | ai-generated-code.md | |
| On-Demand Review | Information and guides related to using kluster.ai for on-demand reviews, providing insights and feedback based on specific criteria or user requests. | on-demand-review.md | |
| Automatic Review | Information and guides related to using kluster.ai for automatic reviews, ensuring quality and relevance based on predefined algorithms and standards. | automatic-review.md | |
| Reference | Comprehensive reference materials, including MCP tools, configuration options, and detailed response schema information. | reference.md |
Note
The llms-full.jsonl file may exceed the input limits of some language models due to its size. If you encounter limitations, consider using the smaller site-index.json or category bundle files instead.