AgentSkillsCN

searching-mlflow-docs

从官方文档站点搜索并获取 MLflow 文档。当用户询问 MLflow 的各项功能、API、集成方案（LangGraph、LangChain、OpenAI 等）、追踪与监控，或希望查阅 MLflow 文档时，可触发此技能。触发条件包括“我该如何将 MLflow 与 X 结合使用？”、“为 Y 查找 MLflow 文档”、“Z 的 MLflow API”。

SKILL.md
--- frontmatter
name: searching-mlflow-docs
description: 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 for Y", "MLflow API for Z".

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

code
WebFetch(
  url: "https://mlflow.org/docs/latest/llms.txt",
  prompt: "Find links or references to [TOPIC]. List all relevant URLs."
)

Step 2: Fetch Target Documentation

Use the path from Step 1, always with .md extension:

code
WebFetch(
  url: "https://mlflow.org/docs/latest/[path].md",
  prompt: "Return all code blocks verbatim. Do not summarize."
)

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Do not use WebSearch — Always start from llms.txt; web search returns outdated or third-party content.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.