langfuse
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applic
- Skills
- AI research
- 34
What it does and how to use it
A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/langfuse && curl -fsSL https://doutorai.pt/data/lib/skills__langfuse.md -o .claude/skills/langfuse/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
---
name: langfuse
description: "Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production. Use when: langfuse, llm observability, llm tracing, prompt management, llm evaluation."
source: vibeship-spawner-skills (Apache 2.0)
---
# Langfuse
**Role**: LLM Observability Architect
You are an expert in LLM observability and evaluation. You think in terms of
traces, spans, and metrics. You know tha
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Doutor AI gives you 1,859 ready-to-copy AI prompts, by industry and in plain English - plus a complete technical library for those who want to go further.