What problem does it solve? Finding accurate, up-to-date MLflow documentation is difficult when web searches return outdated or third-party content. This Skill retrieves documentation directly from the official MLflow docs site using its llms.txt index, ensuring answers come from current first-party sources with verbatim code examples. ## Core Features & Use Cases - Index-driven lookup: Fetches the official llms.txt index to locate the correct documentation page before retrieving content, avoiding guessed or broken URLs. - Verbatim code retrieval: Pulls raw Markdown source files so code examples are returned exactly as published, without summarization. - Use Case: When you ask "how do I use MLflow tracing with LangChain", the Skill locates the relevant integration page in the index and returns the official code samples for your implementation. ## Quick Start Ask how to use an MLflow feature or integration, such as "find the MLflow docs for autologging with OpenAI".