Instrument LLM applications with Langfuse tracing. Use when setting up Langfuse, adding observability to LLM calls, or auditing existing instrumentation.
npx playbooks add skill langfuse/skills --skill langfuse-observability
Langfuse Observability is a workflow tool that instruments large language model applications with Langfuse tracing, enabling developers to add observability to their LLM calls. This tool is used when setting up Langfuse, adding observability to existing LLM calls, or auditing the current instrumentation of LLM applications. Developers would reach for Langfuse Observability when they need to monitor and understand the behavior of their LLM applications.
Its 20-word system prompt specializes your agent in developer workflow with structured methodology and proven output formats. Install with one command to activate immediately.
Instrument LLM applications with Langfuse tracing. Use when setting up Langfuse, adding observability to LLM calls, or auditing existing instrumentation.
Langfuse Observability is a free developer workflow skill for AI coding agents. Instrument LLM applications with Langfuse tracing. Use when setting up Langfuse, adding observability to LLM calls, or auditing existing instrumentation.. It provides a specialized system prompt that configures your agent with developer workflow expertise.
Run npx playbooks add skill langfuse/skills --skill langfuse-observability in your terminal to install Langfuse Observability into your Claude Code session. It works immediately after installation.
Langfuse Observability is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Langfuse Observability is completely free and open source. The full source is available on GitHub at https://github.com/langfuse/skills/tree/main/skills/langfuse-observability. You only need a subscription to the AI agent you use it with.
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