LabEx llms.txt
Browse LabEx documentation as markdown. Click any page in the sidebar to view it, or copy the full llms.txt for your AI tools.
What is LabEx's llms.txt?
LabEx publishes an /llms.txt file that provides AI systems with a structured index of its documentation. It follows the llms.txt specification, organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what LabEx offers and where to find details.
Sections: Agent Skills · Pages · Learn · Learning Paths (Skilltrees) · Courses · Others
Add LabEx Docs to Your AI Assistant
Select your tool to see how to add LabEx's llms.txt as a documentation source.
- 1
Open any chat or composer panel
- 2
Type @Docs and select "Add new doc"
- 3
Paste the URL: https://labex.io/llms.txt
- 4
Wait for the green dot (indexing complete)
- 5
Reference @Docs in chat when asking about LabEx
Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too.
Frequently Asked Questions
LabEx publishes its llms.txt at https://labex.io/llms.txt. This file provides a structured, markdown-formatted index of LabEx's documentation that AI systems can consume to understand the project's APIs, guides, and references.
Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of LabEx's documentation so it can provide better code suggestions and answers about LabEx.
LabEx's llms.txt contains 6 sections and 204 documentation links in 26.6 KB (~6.8k tokens). Key sections include Agent Skills, Pages, Learn, Learning Paths (Skilltrees), Courses, Others.
The concise llms.txt index is approximately 6.8k tokens (26.6 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline.
LabEx is a hands-on learning platform for programming, Linux, DevOps, cybersecurity, data science, and other technical skills, helping learners build real ability through guided practice in an online virtual machine rather than passive video-first learning. Its core experience is the step-by-step guided lab, where learners follow validated instructions, complete practical tasks directly in the browser-based VM, and receive automatic verification after each step, along with targeted hints and support when something is wrong, which makes the experience especially friendly for beginners. LabEx also provides challenge labs for assessment and skill validation, allowing learners to test whether they can apply concepts independently. Skill Tree is a core concept of the platform, organizing related skills into structured learning paths that combine labs, challenges, and courses around specific topics so learners can progress systematically from fundamentals to practical capability and project-building. Supporting this journey is Labby, the LabEx AI assistant, which can present validated lab steps, verify work inside the VM, help debug code and commands, clarify concepts, and provide more context-aware guidance by observing what the learner is actually doing in the environment.. LabEx's llms.txt file helps AI systems understand this by providing a structured overview of its documentation, making it easier for developers to get accurate AI-assisted help when working with LabEx.
Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. You can also validate existing files with the llms.txt validator.