Langfuse Skill

Debug AI agents and LLM applications through Langfuse observability.

This skill is the agent-facing companion to langfuse-mcp. It tells Claude Code and Codex when to use Langfuse, which MCP tool to call first, and how to move from broad trace discovery to a concrete root-cause hypothesis.

Triggers: langfuse, traces, debug AI, find exceptions, set up langfuse, what went wrong, why is it slow, datasets, evaluation sets

What This Skill Provides

• Setup steps for connecting langfuse-mcp to Claude Code or Codex.
• Playbooks for exception triage, trace inspection, latency analysis, sessions, prompts, and datasets.
• A quick reference for the highest-value MCP tools.
• Links to full setup and tool references for deeper troubleshooting.

Use the playbooks before guessing at individual tools. Start broad, identify the relevant trace/session/observation, then drill into the exact failure or slow path.

Setup