Agent skill

langfuse-hello-world

Create a minimal working Langfuse trace example. Use when starting a new Langfuse integration, testing your setup, or learning basic Langfuse tracing patterns. Trigger with phrases like "langfuse hello world", "langfuse example", "langfuse quick start", "first langfuse trace", "simple langfuse code". '

intentsolutions.io2,596★ · 1 repos on radarProfile →
claude-codecan modify filesMIT
Install
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langfuse-hello-world --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Version: 1.12.0
Declared author: Jeremy Longshore <jeremy@intentsolutions.io>
Allowed tools: ReadWriteEdit
Requires: Designed for Claude Code, also compatible with Codex and OpenClaw
Path: plugins/saas-packs/langfuse-pack/skills/langfuse-hello-world/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,630
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Langfuse Hello World ## Overview Create your first Langfuse trace with real SDK calls. Demonstrates the trace/span/generation hierarchy, the `observe` wrapper, and the OpenAI drop-in integration. ## Prerequisites - Completed `langfuse-install-auth` setup - Valid API credentials in environment variables - OpenAI API key (for the OpenAI integration example) ## Instructions ### Step 1: Hello World with v4+ Modular SDK ```typescript // hello-langfuse.ts import { startActiveObservation, observe, updateActiveObservation } from "@langfuse/tracing"; import { LangfuseSpanProcessor } from "@langfuse/otel"; import { NodeSDK } from "@opentelemetry/sdk-node"; // Register OpenTelemetry processor (once at startup) const sdk = new NodeSDK({ spanProcessors: [new LangfuseSpanProcessor()], }); sdk.start(); async function main() { // Create a top-level trace with startActiveObservation await startActiveObservation("hello-world", async (span) => { span.update({ input: { message: "Hello, Langfuse!" }, metadata: { source: "hello-world-example" }, }); // Nested span -- automatically linked to parent await startActiveObservation("process-input", async (child) => { child.update({ input: { text: "processin

What's inside
Steps it walks through
  1. Overview
  2. Prerequisites
  3. Instructions
  4. Step 1: Hello World with v4+ Modular SDK
  5. Step 2: Hello World with observe Wrapper
  6. Step 3: Hello World with Legacy v3 SDK
  7. Step 4: Python Hello World
  8. Trace Hierarchy
  9. Error Handling
  10. Resources
  11. Next Steps
More from claude-code-plugins-plus-skills
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About this skill
What does the langfuse-hello-world skill do?

Create a minimal working Langfuse trace example. Use when starting a new Langfuse integration, testing your setup, or learning basic Langfuse tracing patterns. Trigger with phrases like "langfuse hello world", "langfuse example", "langfuse quick start", "first langfuse trace", "simple langfuse code". '

How do I install it?

Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langfuse-hello-world --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 2,630 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.

Keep going