npx claudepluginhub mlflow/skillsThis skill uses the workspace's default tool permissions.
1. Fetch `https://mlflow.org/docs/latest/llms.txt` to find relevant page paths
Generates design tokens/docs from CSS/Tailwind/styled-components codebases, audits visual consistency across 10 dimensions, detects AI slop in UI.
Records polished WebM UI demo videos of web apps using Playwright with cursor overlay, natural pacing, and three-phase scripting. Activates for demo, walkthrough, screen recording, or tutorial requests.
Delivers idiomatic Kotlin patterns for null safety, immutability, sealed classes, coroutines, Flows, extensions, DSL builders, and Gradle DSL. Use when writing, reviewing, refactoring, or designing Kotlin code.
https://mlflow.org/docs/latest/llms.txt to find relevant page paths.md file at the identified pathWebFetch(
url: "https://mlflow.org/docs/latest/llms.txt",
prompt: "Find links or references to [TOPIC]. List all relevant URLs."
)
Use the path from Step 1, always with .md extension:
WebFetch(
url: "https://mlflow.org/docs/latest/[path].md",
prompt: "Return all code blocks verbatim. Do not summarize."
)
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Do not use WebSearch — Always start from llms.txt; web search returns outdated or third-party content.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.