langfuse-reference-architecture
Production-grade Langfuse architecture patterns and best practices. Use when designing LLM observability infrastructure, planning Langfuse deployment, or implementing enterprise-grade tracing architecture. Trigger with phrases like "langfuse architecture", "langfuse design", "langfuse infrastructure", "langfuse enterprise", "langfuse at scale". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langfuse-reference-architecture --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Langfuse Reference Architecture ## Overview Production-grade architecture patterns for Langfuse LLM observability: singleton SDK, context propagation with `AsyncLocalStorage`, cross-service trace correlation, multi-environment configurations, and scale strategies. ## Prerequisites - Understanding of distributed systems and async patterns - Node.js 18+ with OpenTelemetry SDK - For v4+: `@langfuse
What does the langfuse-reference-architecture skill do?
Production-grade Langfuse architecture patterns and best practices. Use when designing LLM observability infrastructure, planning Langfuse deployment, or implementing enterprise-grade tracing architecture. Trigger with phrases like "langfuse architecture", "langfuse design", "langfuse infrastructure", "langfuse enterprise", "langfuse at scale". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langfuse-reference-architecture --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.