searching-mlflow-docs
Searches and retrieves MLflow documentation from the official docs site. Use when the user asks about MLflow features, APIs, integrations (LangGraph, LangChain, OpenAI, etc.), tracing, tracking, or requests to look up MLflow documentation. Triggers on "how do I use MLflow with X", "find MLflow docs
By mlflow · 742 installs
npx skills add mlflow/skills --skill searching-mlflow-docs
Source repository · Upstream listing
MLflow Documentation Search
Workflow
1. Fetch https://mlflow.org/docs/latest/llms.txt to find relevant page paths
2. Fetch the .md file at the identified path
3. Present results with verbatim code examples
Step 1: Fetch llms.txt Index
Step 2: Fetch Target Documentation
Use the path from Step 1, always with .md extension:
Anti Patterns
Do not use .html files — Fetch .md source files only.
Do not use WebSearch — Always start from llms.txt; web search returns outdated or third party content.
Do not use vague prompts — "Extract complete documentation" allows summarization. Use "Return all code blocks verbatim. Do not summarize."
Do not use versioned paths — Always use /docs/latest/ , never /docs/3.8/ or other versions unless the user explicitly requests a specific version.
Do not guess URLs — Always verify paths exist in llms.txt before fetching. Never construct documentation paths from assumptions.
Do not follow external links — Stay within mlflow.org/docs. Do not follow links to GitHub, PyPI, or third party sites.
Do not mix sources — Use only MLflow docs. Do not combine with LangChain docs, OpenAI docs, or other external documentation.
Do not use llms.txt for non GenAI topics — The llms.txt index covers LLM/GenAI documentation only. For classic ML tracking features, paths may differ.